Yu‐Jin Kwon

4.0k citations
181 papers · 2.3k · h-index 25

Impact in

Papers in

Yu‐Jin Kwon

165 papers receiving 2.3k citations

Peers

Yu‐Jin Kwon
Comparison fields: 5 of 167
  • Endocrinology, Diabetes and Metabolism 371
  • Physiology 514
  • Public Health, Environmental and Occupational Health 392
  • Geriatrics and Gerontology 50
  • Internal Medicine 45
Replace Ming Zhou with:
Ming Zhou China
Gurpreet Singh Wander India
Despina Perrea Greece
Haijiang Dai China
Ray‐Jade Chen Taiwan
Wei‐Qi Wei United States
Andrew J. Cucchiara United States
Naoki Nakashima Japan
Yi‐Cheng Chang Taiwan
Zhi Zheng China
Yu‐Jin Kwon relative to Ming Zhou China Ming Zhou's profile →
Citations per field
00.5×3.5×
Ming Zhou · 1×
Citations per year

Countries citing papers authored by Yu‐Jin Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Jin Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Jin Kwon. 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 Yu‐Jin Kwon. The network helps show where Yu‐Jin Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 2019115
3 201274
4 202256
5 201956
6 201747
7 201644
8 201743
9 201741
10 202035
11 202133
12 201733
13 201832
14 202331
15 202231
16 201928
17 201528
18 202327
19 201927
20 201426

About Yu‐Jin Kwon

Yu‐Jin Kwon is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Physiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 181 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (37 papers), Nutritional Studies and Diet (35 papers), Nutrition and Health in Aging (23 papers), Diet and metabolism studies (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Diet, Metabolism, and Disease (16 papers), Obesity, Physical Activity, Diet (13 papers) and Nutrition, Health and Food Behavior (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (371 citations), Physiology (514 citations), Public Health, Environmental and Occupational Health (392 citations), Geriatrics and Gerontology (50 citations) and Internal Medicine (45 citations). Yu‐Jin Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hye Sun Lee, Ji‐Won Lee, Jun‐Hyuk Lee, Yong‐Jae Lee, Da‐Hye Son, Tae‐Ha Chung, Yongdae Kim, A‐Ra Cho, Dong‐Hyuk Jung and Jae‐Yong Shim. Their work appears in journals such as Nutrients, Frontiers in Nutrition, International Journal of Environmental Research and Public Health, Korean Journal of Family Medicine and Clinical Nutrition.

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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