Yoona Kim

36 papers receiving 1.2k citations

Yoona Kim's Hit Papers

Polyphenols and Glycemic Control 2016 · 433 citations
4330+3+6Years since publication100200300400

Peers

Yoona Kim
Comparison fields: 5 of 114
  • Biochemistry 197
  • Nutrition and Dietetics 273
  • Endocrinology, Diabetes and Metabolism 192
  • Public Health, Environmental and Occupational Health 248
  • Obstetrics and Gynecology 61
Replace Mehrnoosh Zakerkish with:
Mehrnoosh Zakerkish Iran
Maryam Rafraf Iran
Sujata Joshi India
Ingvild Paur Norway
Lutgarda Bozzetto Italy
Melissa Ventura Marra United States
Fengmei Lian China
Carmelina Filesi Italy
Catherine Tsang United Kingdom
Xiaolin Tong China
Yoona Kim relative to Mehrnoosh Zakerkish Iran Mehrnoosh Zakerkish's profile →
Citations per field
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Mehrnoosh Zakerkish · 1×
Citations per year

Countries citing papers authored by Yoona Kim

Since Specialization
Citations

This map shows the geographic impact of Yoona 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 Yoona Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoona Kim more than expected).

Fields of papers citing papers by Yoona Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoona 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 Yoona Kim. The network helps show where Yoona Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Yoona 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 Yoona Kim Line = papers co-authored together Yoona Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polyphenols and Glycemic Control
Hit paper breakdown →
2016433
2 2015134
3 2017112
4 201657
5 201849
6 201848
7 201448
8 202139
9 201936
10 201831
11 201328
12 201625
13 201924
14 201624
15 202023
16 201920
17 202020
18 202014
19 20228
20 20236

About Yoona Kim

Yoona Kim is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics, Computer Networks and Communications, Endocrinology, Diabetes and Metabolism and Physiology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (8 papers), Advanced Data Storage Technologies (6 papers), Caching and Content Delivery (6 papers), Natural Antidiabetic Agents Studies (4 papers), Diet and metabolism studies (4 papers), Nuts composition and effects (3 papers), Nutrition, Health and Food Behavior (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Biochemistry (197 citations), Nutrition and Dietetics (273 citations), Endocrinology, Diabetes and Metabolism (192 citations), Public Health, Environmental and Occupational Health (248 citations) and Obstetrics and Gynecology (61 citations). Yoona Kim has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Peter Clifton, Jennifer Keogh, Hyerim Kim, Dong Hoon Lim, Alexander G. Beristain, Kathy Yuen Yee Chan, Bárbara Castellana, Jihong Kim, Jisung Park and Myungsuk Kim. Their work appears in journals such as Nutrients, International Journal of Environmental Research and Public Health, Metabolism, Journal of Clinical Oncology and ACM SIGMETRICS Performance Evaluation Review.

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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