Overview

Dataset statistics

Number of variables5
Number of observations4333
Missing cells19
Missing cells (%)0.1%
Duplicate rows47
Duplicate rows (%)1.1%
Total size in memory169.4 KiB
Average record size in memory40.0 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description한국식품연구원에서 관리하는 논문 게재 현황(논문제목, 학술지명, 저자, 논문분류, 게재일자) - 논문제목: 논문의 제목 - 학술지명: 논문이 게재된 학술지 명칭 - 작성자: 연구원 대표 저자 - SCI 구분: 논문의 Science Citation index에 따른 구분 - 게재일자: 논문이 게재된 일자
URLhttps://www.data.go.kr/data/15052126/fileData.do

Alerts

Dataset has 47 (1.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:24:46.274837
Analysis finished2023-12-12 07:24:47.339654
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

논문제목
Text

Distinct4185
Distinct (%)96.8%
Missing10
Missing (%)0.2%
Memory size34.0 KiB
2023-12-12T16:24:47.551814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length243
Median length181
Mean length60.62341
Min length1

Characters and Unicode

Total characters262075
Distinct characters902
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4055 ?
Unique (%)93.8%

Sample

1st row산겨릅나무 간 보호 화합물 salidroside의 추출조건 최적화
2nd row호두 열매 추출물의 메틸글라이옥살 유도 신장세포 손상 억제 효과 및 당화억제 효능
3rd rowLeuconostoc mesenteroides CJNU 0147 균주를 적용한 발효 자몽추출물의 장내 유해세균 억제 및 비피도박테리아 증식 효과
4th row푸드테크에서의 식용 곤충 활용방안 및 미래 전망
5th row쌀코지가 도루묵(Arctoscopus japonicus) 식해의 발효특성에 미치는 영향
ValueCountFrequency (%)
of 1311
 
3.0%
및 908
 
2.1%
and 753
 
1.7%
in 630
 
1.5%
the 377
 
0.9%
영향 338
 
0.8%
미치는 337
 
0.8%
특성 318
 
0.7%
효과 285
 
0.7%
a 264
 
0.6%
Other values (14112) 37914
87.3%
2023-12-12T16:24:47.994151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39442
 
15.0%
e 13801
 
5.3%
i 12938
 
4.9%
a 11476
 
4.4%
o 10890
 
4.2%
n 10359
 
4.0%
t 10209
 
3.9%
s 7978
 
3.0%
r 7893
 
3.0%
c 6781
 
2.6%
Other values (892) 130308
49.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 131814
50.3%
Other Letter 71312
27.2%
Space Separator 39443
 
15.1%
Uppercase Letter 13917
 
5.3%
Decimal Number 2191
 
0.8%
Dash Punctuation 1820
 
0.7%
Other Punctuation 793
 
0.3%
Open Punctuation 340
 
0.1%
Close Punctuation 340
 
0.1%
Final Punctuation 25
 
< 0.1%
Other values (6) 80
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3240
 
4.5%
에 1829
 
2.6%
성 1813
 
2.5%
한 1718
 
2.4%
이 1380
 
1.9%
과 1089
 
1.5%
분 993
 
1.4%
효 936
 
1.3%
화 931
 
1.3%
및 911
 
1.3%
Other values (782) 56472
79.2%
Lowercase Letter
ValueCountFrequency (%)
e 13801
10.5%
i 12938
 
9.8%
a 11476
 
8.7%
o 10890
 
8.3%
n 10359
 
7.9%
t 10209
 
7.7%
s 7978
 
6.1%
r 7893
 
6.0%
c 6781
 
5.1%
l 6284
 
4.8%
Other values (24) 33205
25.2%
Uppercase Letter
ValueCountFrequency (%)
A 1379
 
9.9%
C 1219
 
8.8%
P 1113
 
8.0%
S 1051
 
7.6%
E 894
 
6.4%
M 811
 
5.8%
R 764
 
5.5%
I 755
 
5.4%
T 704
 
5.1%
L 686
 
4.9%
Other values (16) 4541
32.6%
Other Punctuation
ValueCountFrequency (%)
. 341
43.0%
: 174
21.9%
/ 167
21.1%
? 44
 
5.5%
· 19
 
2.4%
' 18
 
2.3%
& 9
 
1.1%
% 6
 
0.8%
" 5
 
0.6%
; 4
 
0.5%
Other values (4) 6
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 545
24.9%
2 436
19.9%
3 291
13.3%
7 173
 
7.9%
4 172
 
7.9%
0 159
 
7.3%
5 135
 
6.2%
6 116
 
5.3%
8 86
 
3.9%
9 78
 
3.6%
Math Symbol
ValueCountFrequency (%)
+ 10
58.8%
~ 3
 
17.6%
× 2
 
11.8%
= 1
 
5.9%
→ 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 331
97.4%
[ 8
 
2.4%
「 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 331
97.4%
] 8
 
2.4%
」 1
 
0.3%
Other Symbol
ValueCountFrequency (%)
℃ 3
60.0%
° 1
 
20.0%
ⓡ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
39442
> 99.9%
　 1
 
< 0.1%
Control
ValueCountFrequency (%)
 21
91.3%
2
 
8.7%
Final Punctuation
ValueCountFrequency (%)
’ 19
76.0%
” 6
 
24.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 14
66.7%
“ 7
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%
Dash Punctuation
ValueCountFrequency (%)
- 1820
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 145636
55.6%
Hangul 71287
27.2%
Common 45027
 
17.2%
Greek 100
 
< 0.1%
Han 25
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3240
 
4.5%
에 1829
 
2.6%
성 1813
 
2.5%
한 1718
 
2.4%
이 1380
 
1.9%
과 1089
 
1.5%
분 993
 
1.4%
효 936
 
1.3%
화 931
 
1.3%
및 911
 
1.3%
Other values (760) 56447
79.2%
Latin
ValueCountFrequency (%)
e 13801
 
9.5%
i 12938
 
8.9%
a 11476
 
7.9%
o 10890
 
7.5%
n 10359
 
7.1%
t 10209
 
7.0%
s 7978
 
5.5%
r 7893
 
5.4%
c 6781
 
4.7%
l 6284
 
4.3%
Other values (45) 47027
32.3%
Common
ValueCountFrequency (%)
39442
87.6%
- 1820
 
4.0%
1 545
 
1.2%
2 436
 
1.0%
. 341
 
0.8%
( 331
 
0.7%
) 331
 
0.7%
3 291
 
0.6%
: 174
 
0.4%
7 173
 
0.4%
Other values (38) 1143
 
2.5%
Han
ValueCountFrequency (%)
食 2
 
8.0%
盒 2
 
8.0%
籍 2
 
8.0%
吝 1
 
4.0%
茄 1
 
4.0%
前 1
 
4.0%
母 1
 
4.0%
瘤 1
 
4.0%
高 1
 
4.0%
楷 1
 
4.0%
Other values (12) 12
48.0%
Greek
ValueCountFrequency (%)
α 39
39.0%
β 28
28.0%
κ 16
16.0%
γ 11
 
11.0%
μ 3
 
3.0%
ε 2
 
2.0%
λ 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190578
72.7%
Hangul 71286
 
27.2%
None 126
 
< 0.1%
Punctuation 49
 
< 0.1%
CJK 25
 
< 0.1%
Number Forms 5
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39442
20.7%
e 13801
 
7.2%
i 12938
 
6.8%
a 11476
 
6.0%
o 10890
 
5.7%
n 10359
 
5.4%
t 10209
 
5.4%
s 7978
 
4.2%
r 7893
 
4.1%
c 6781
 
3.6%
Other values (75) 58811
30.9%
Hangul
ValueCountFrequency (%)
의 3240
 
4.5%
에 1829
 
2.6%
성 1813
 
2.5%
한 1718
 
2.4%
이 1380
 
1.9%
과 1089
 
1.5%
분 993
 
1.4%
효 936
 
1.3%
화 931
 
1.3%
및 911
 
1.3%
Other values (759) 56446
79.2%
None
ValueCountFrequency (%)
α 39
31.0%
β 28
22.2%
· 19
15.1%
κ 16
12.7%
γ 11
 
8.7%
μ 3
 
2.4%
ε 2
 
1.6%
× 2
 
1.6%
　 1
 
0.8%
° 1
 
0.8%
Other values (4) 4
 
3.2%
Punctuation
ValueCountFrequency (%)
’ 19
38.8%
‘ 14
28.6%
“ 7
 
14.3%
” 6
 
12.2%
″ 2
 
4.1%
′ 1
 
2.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 2
40.0%
CJK
ValueCountFrequency (%)
食 2
 
8.0%
盒 2
 
8.0%
籍 2
 
8.0%
吝 1
 
4.0%
茄 1
 
4.0%
前 1
 
4.0%
母 1
 
4.0%
瘤 1
 
4.0%
高 1
 
4.0%
楷 1
 
4.0%
Other values (12) 12
48.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓡ 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

학술지명
Text

Distinct773
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
2023-12-12T16:24:48.284112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length65
Mean length23.422109
Min length3

Characters and Unicode

Total characters101488
Distinct characters182
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique381 ?
Unique (%)8.8%

Sample

1st row생약학회지
2nd row한국식생활문화학회지
3rd row한국유산균학회지
4th row식품산업과 영양
5th row한국수산과학회지
ValueCountFrequency (%)
of 1275
 
9.6%
journal 1173
 
8.8%
food 1037
 
7.8%
and 952
 
7.2%
science 757
 
5.7%
biotechnology 358
 
2.7%
research 275
 
2.1%
한국식품영양과학회지 214
 
1.6%
chemistry 211
 
1.6%
korean 203
 
1.5%
Other values (712) 6826
51.4%
2023-12-12T16:24:48.732535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 9249
 
9.1%
9143
 
9.0%
e 6220
 
6.1%
n 5968
 
5.9%
i 5211
 
5.1%
a 4850
 
4.8%
c 4464
 
4.4%
r 4209
 
4.1%
l 3899
 
3.8%
t 3007
 
3.0%
Other values (172) 45268
44.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 62130
61.2%
Uppercase Letter 18130
 
17.9%
Other Letter 11643
 
11.5%
Space Separator 9143
 
9.0%
Dash Punctuation 153
 
0.2%
Other Punctuation 143
 
0.1%
Close Punctuation 71
 
0.1%
Open Punctuation 71
 
0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1241
10.7%
회 1086
 
9.3%
지 1061
 
9.1%
한 1031
 
8.9%
국 1013
 
8.7%
식 960
 
8.2%
품 898
 
7.7%
과 694
 
6.0%
영 312
 
2.7%
양 310
 
2.7%
Other values (111) 3037
26.1%
Lowercase Letter
ValueCountFrequency (%)
o 9249
14.9%
e 6220
10.0%
n 5968
9.6%
i 5211
8.4%
a 4850
 
7.8%
c 4464
 
7.2%
r 4209
 
6.8%
l 3899
 
6.3%
t 3007
 
4.8%
d 2498
 
4.0%
Other values (16) 12555
20.2%
Uppercase Letter
ValueCountFrequency (%)
F 1522
 
8.4%
S 1502
 
8.3%
A 1437
 
7.9%
N 1321
 
7.3%
J 1214
 
6.7%
O 1210
 
6.7%
C 1185
 
6.5%
R 1120
 
6.2%
E 1118
 
6.2%
I 979
 
5.4%
Other values (16) 5522
30.5%
Other Punctuation
ValueCountFrequency (%)
& 138
96.5%
: 3
 
2.1%
. 1
 
0.7%
· 1
 
0.7%
Space Separator
ValueCountFrequency (%)
9143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Decimal Number
ValueCountFrequency (%)
3 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 80260
79.1%
Hangul 11643
 
11.5%
Common 9585
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1241
10.7%
회 1086
 
9.3%
지 1061
 
9.1%
한 1031
 
8.9%
국 1013
 
8.7%
식 960
 
8.2%
품 898
 
7.7%
과 694
 
6.0%
영 312
 
2.7%
양 310
 
2.7%
Other values (111) 3037
26.1%
Latin
ValueCountFrequency (%)
o 9249
 
11.5%
e 6220
 
7.7%
n 5968
 
7.4%
i 5211
 
6.5%
a 4850
 
6.0%
c 4464
 
5.6%
r 4209
 
5.2%
l 3899
 
4.9%
t 3007
 
3.7%
d 2498
 
3.1%
Other values (42) 30685
38.2%
Common
ValueCountFrequency (%)
9143
95.4%
- 153
 
1.6%
& 138
 
1.4%
) 71
 
0.7%
( 71
 
0.7%
3 4
 
< 0.1%
: 3
 
< 0.1%
. 1
 
< 0.1%
· 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89844
88.5%
Hangul 11643
 
11.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 9249
 
10.3%
9143
 
10.2%
e 6220
 
6.9%
n 5968
 
6.6%
i 5211
 
5.8%
a 4850
 
5.4%
c 4464
 
5.0%
r 4209
 
4.7%
l 3899
 
4.3%
t 3007
 
3.3%
Other values (50) 33624
37.4%
Hangul
ValueCountFrequency (%)
학 1241
10.7%
회 1086
 
9.3%
지 1061
 
9.1%
한 1031
 
8.9%
국 1013
 
8.7%
식 960
 
8.2%
품 898
 
7.7%
과 694
 
6.0%
영 312
 
2.7%
양 310
 
2.7%
Other values (111) 3037
26.1%
None
ValueCountFrequency (%)
· 1
100.0%

작성자
Text

Distinct225
Distinct (%)5.2%
Missing9
Missing (%)0.2%
Memory size34.0 KiB
2023-12-12T16:24:49.053667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.9882054
Min length2

Characters and Unicode

Total characters12921
Distinct characters145
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.4%

Sample

1st row유귀재
2nd row허진영
3rd row김혜련
4th row최윤상
5th row전준영
ValueCountFrequency (%)
최윤상 194
 
4.5%
권대영 91
 
2.1%
남영도 75
 
1.7%
하태열 74
 
1.7%
양혜정 72
 
1.7%
최상윤 71
 
1.6%
김현구 69
 
1.6%
임상동 67
 
1.5%
류미라 59
 
1.4%
전향숙 58
 
1.3%
Other values (216) 3495
80.8%
2023-12-12T16:24:49.518531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1120
 
8.7%
영 596
 
4.6%
정 540
 
4.2%
상 523
 
4.0%
윤 465
 
3.6%
최 438
 
3.4%
이 383
 
3.0%
진 269
 
2.1%
호 255
 
2.0%
민 254
 
2.0%
Other values (135) 8078
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12919
> 99.9%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1120
 
8.7%
영 596
 
4.6%
정 540
 
4.2%
상 523
 
4.0%
윤 465
 
3.6%
최 438
 
3.4%
이 383
 
3.0%
진 269
 
2.1%
호 255
 
2.0%
민 254
 
2.0%
Other values (134) 8076
62.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12919
> 99.9%
Common 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1120
 
8.7%
영 596
 
4.6%
정 540
 
4.2%
상 523
 
4.0%
윤 465
 
3.6%
최 438
 
3.4%
이 383
 
3.0%
진 269
 
2.1%
호 255
 
2.0%
민 254
 
2.0%
Other values (134) 8076
62.5%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12919
> 99.9%
ASCII 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1120
 
8.7%
영 596
 
4.6%
정 540
 
4.2%
상 523
 
4.0%
윤 465
 
3.6%
최 438
 
3.4%
이 383
 
3.0%
진 269
 
2.1%
호 255
 
2.0%
민 254
 
2.0%
Other values (134) 8076
62.5%
ASCII
ValueCountFrequency (%)
2
100.0%

SCI구분
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
SCIE
1642 
SCI
1066 
기타
1064 
KCI
521 
<NA>
 
32

Length

Max length6
Median length4
Mean length3.1463189
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKCI
2nd rowKCI
3rd row기타
4th row기타
5th rowKCI

Common Values

ValueCountFrequency (%)
SCIE 1642
37.9%
SCI 1066
24.6%
기타 1064
24.6%
KCI 521
 
12.0%
<NA> 32
 
0.7%
SCOPUS 8
 
0.2%

Length

2023-12-12T16:24:49.678700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:24:50.090210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
scie 1642
37.9%
sci 1066
24.6%
기타 1064
24.6%
kci 521
 
12.0%
na 32
 
0.7%
scopus 8
 
0.2%

게제일자
Date

Distinct1658
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size34.0 KiB
Minimum1900-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T16:24:50.219524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:24:50.352554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-12T16:24:47.088320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:24:47.194679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T16:24:47.288754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

논문제목학술지명작성자SCI구분게제일자
0산겨릅나무 간 보호 화합물 salidroside의 추출조건 최적화생약학회지유귀재KCI2022-12-31
1호두 열매 추출물의 메틸글라이옥살 유도 신장세포 손상 억제 효과 및 당화억제 효능한국식생활문화학회지허진영KCI2022-12-31
2Leuconostoc mesenteroides CJNU 0147 균주를 적용한 발효 자몽추출물의 장내 유해세균 억제 및 비피도박테리아 증식 효과한국유산균학회지김혜련기타2022-12-31
3푸드테크에서의 식용 곤충 활용방안 및 미래 전망식품산업과 영양최윤상기타2022-12-31
4쌀코지가 도루묵(Arctoscopus japonicus) 식해의 발효특성에 미치는 영향한국수산과학회지전준영KCI2022-12-30
5기능성 소화불량 한의 변증 표준화를 위한 이중탕 평위산 및 시호소간탕 투여: 무작위 배정 평가자 눈가림 3군 비교 평행 설계 공개 다기관 임상시험 프로토콜대한한방내과학회지임미영KCI2022-12-30
6전통주 마이크로바이옴과 양조미생물 종균화식품과학과 산업김혜련KCI2022-12-30
7건강 유지 목표로서의 장내미생물 기반 맞춤형 식단: 현재의 근거에서 미래의 가능성으로JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY신지희SCIE2022-12-28
8발효식품에서 분리한 균주를 이용한 건식발효 소시지의 최적 발효온도 규명Foods최형윤SCIE2022-12-27
9스트레스 호르몬을 처리한 마우스에서 넓패추출물의 항우울 효과Applied Biological Chemistry엄민영SCIE2022-12-21
논문제목학술지명작성자SCI구분게제일자
4323항체 생산을 위한 카드뮴 유도 잉어 혈액으로부터의 Metallothionein 정제한국산업식품공학회김남수기타1900-01-01
4324A Review on the Application of Nanotechnology in Food Processing and Packaging한국산업식품공학회조용진기타1900-01-01
4325이산화탄소 전처리에 의한 ‘창방조생’ 복숭아의 수확 후 품질 특성 변화원예과학기술지최정희기타1900-01-01
4326백삼의 페놀산 조성과 항산화 활성Journal of Ginseng Research김영찬기타1900-01-01
4327백삼의 페놀산 조성과 항산화 활성Journal of Ginseng Research김영찬기타1900-01-01
4328백삼과 홍삼의 페놀성 성분함량 및 멜라닌 생성억제효과Journal of Ginseng Research최상윤기타1900-01-01
4329고려인삼 추출물이 고온환경에 노출된 흰쥐에 미치는 영향Journal of Ginseng Research<NA>기타1900-01-01
4330국내 인삼 연구 현황 및 미래 수요 예측 ;최근 5년간 농학 · 식품학 및 약리학을 중심으로Journal of Ginseng Research<NA>기타1900-01-01
4331Sensitivity of quartz crystal microbalance precipitation sensor for paraoxon-ethylBiochip Journal김남수SCIE1900-01-01
4332Some Cases in Applications of Nanotechnology to Food and Agricultural SystemsBiochip Journal조용진SCIE1900-01-01

Duplicate rows

Most frequently occurring

논문제목학술지명작성자SCI구분게제일자# duplicates
0Acetylcholinesterase 활성측정을 위한 수정진동자-침전화 센서의 최적화Journal of Microbiology and Biotechnology김남수SCIE1900-01-012
1CA 저장에 의한 박피생강의 품질특성한국식품위생안전성학회지김경탁기타2011-12-012
2Changes in Microbiological and Physicochemical Quality of Dried Persimmons (Diospyros kaki Thunb.) Stored at Various TemperaturesJournal of Food Quality김은미SCIE2019-09-022
3Chemoprevention of Scutellaria bardata on human cancer cells and tumorigenesis in skin cancerPhytotherapy Research권대영SCI2007-02-012
4Comparative studies of bioactive organosulphur compounds and antioxidant activities in garlic (Allium sativum L.) elephant garlic (Allium ampeloprasum L.) and onion (Allium cepa L.)NATURAL PRODUCT RESEARCH유미영SCIE2017-05-012
5Determination of Indicators for Dry Aged Beef QualityKorean Society for Food Science of Animal Resources이희영SCIE2019-11-052
6Escherichia coli O157:H7의 인체 세포 부착 억제 활성이 있는 천연물 고속 탐색 시스템 개발Food Control김현정SCI2017-03-312
7In vitro Antidiabetic and Antiobesity Activities of Traditional Kochujang and Doenjang and Their Components한국식품영양과학회지양혜정KCI2019-09-302
8Isoflavonoids and peptides from meju long-term fermented soybeans increase insulin sensitivity and exert insulinotropic effects in vitroNutrition Journal권대영SCIE2011-01-012
9Lipopolysaccharide로 유도된 BV-2 세포주의 염증반응에 대한미세조류 부산물 당 가수분해물의 저해 활성Journal of Chitin and Chitosan이상훈KCI2015-03-312