Jung-In Kim

2.4k citations
88 papers · 1.9k · 1 hit paper · h-index 23

Impact in

Papers in

Jung-In Kim

83 papers receiving 1.8k citations

Jung-In Kim's Hit Papers

Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review 2024 · 83 citations
830+1Years since publication255075

Peers

Jung-In Kim
Comparison fields: 5 of 143
  • Biochemistry 232
  • Nutrition and Dietetics 256
  • Environmental Chemistry 159
  • Endocrinology, Diabetes and Metabolism 256
  • Food Science 188
Replace Jihua Chen with:
Jihua Chen China
Masayuki Yamasaki Japan
Maryna van de Venter South Africa
Md. Abdul Hannan Bangladesh
Eun Ju Jeong South Korea
Alejandro M. S. Mayer United States
James C. Griffiths United States
Maria Alessandra Gammone Italy
Hyukjae Choi South Korea
Chikako Uneyama Japan
Jung-In Kim relative to Jihua Chen China Jihua Chen's profile →
Citations per field
00.5×10×15×18.5×
Jihua Chen · 1×
Citations per year

Countries citing papers authored by Jung-In Kim

Since Specialization
Citations

This map shows the geographic impact of Jung-In Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jung-In Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung-In Kim more than expected).

Fields of papers citing papers by Jung-In Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-In Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jung-In Kim. The network helps show where Jung-In Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jung-In Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jung-In Kim Line = papers co-authored together Jung-In Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012213
2 2013195
3 2009171
4 2004135
5
Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
Hit paper breakdown →
202483
6 200677
7 200363
8 200557
9 200951
10 201539
11 201538
12 201534
13 201033
14 201533
15 200732
16 201428
17 201724
18 201024
19
Determination of Total Chiro-inositol Content in Selected Natural Materials and Evaluation of the Antihyperglycemic Effect of Pinitol Isolated from Soybean and Carob
200523
20 201023

About Jung-In Kim

Jung-In Kim is a scholar working on Plant Science, Endocrinology, Diabetes and Metabolism, Molecular Biology, Food Science and Biochemistry, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Food Quality and Safety Studies (15 papers), Natural Antidiabetic Agents Studies (14 papers), Phytochemicals and Antioxidant Activities (14 papers), Agriculture, Soil, Plant Science (7 papers), Pharmacological Effects of Natural Compounds (6 papers), Food composition and properties (5 papers), Phytoestrogen effects and research (5 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Biochemistry (232 citations), Nutrition and Dietetics (256 citations), Environmental Chemistry (159 citations), Endocrinology, Diabetes and Metabolism (256 citations) and Food Science (188 citations). Jung-In Kim has collaborated with scholars based in South Korea, China and United Kingdom. Frequent co-authors include Ha‐Neul Choi, Jin-Ae Lee, Xiaoyu Li, Ik‐Kyo Chung, Jihye Kim, Min‐Jung Kang, Hee‐Cheol Kim, Tagne Poupi Theodore Armand, YoonJung Cho and Hyunjin Kim. Their work appears in journals such as Molecules and Cells, The FASEB Journal, Nutrients, International Journal of Molecular Sciences and Dermatologic Surgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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