Sun H. Kim

11.2k citations
136 papers · 3.9k · h-index 36

Impact in

Papers in

    • Diabetes, Cardiovascular Risks, and Lipoproteins 19
    • Diabetes Treatment and Management 13
    • Diabetes Management and Research 9
    • Diet, Metabolism, and Disease 7
    • Liver Disease Diagnosis and Treatment 13

Sun H. Kim

128 papers receiving 3.8k citations

Peers

Sun H. Kim
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 772
  • Molecular Medicine 134
  • Epidemiology 799
  • Reproductive Medicine 174
  • Physiology 473
Replace Song Zhang with:
Song Zhang China
Roberto Testa Italy
Concepción M. Aguilera Spain
Tomáš Zima Czechia
John D. Catravas United States
Tannaz Jamialahmadi Iran
Ranganath Muniyappa United States
Yoshihiro Tochino Japan
Yan Yang China
Junichi Hasegawa Japan
Sun H. Kim relative to Song Zhang China Song Zhang's profile →
Citations per field
00.5×3.2×
Song Zhang · 1×
Citations per year

Countries citing papers authored by Sun H. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun H. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017287
2 2017221
3 2004118
4 2011111
5 201795
6 202294
7 199892
8 201388
9 199088
10 200284
11 198984
12 200281
13 200879
14 200976
15 200373
16 200372
17 202169
18 201467
19 202266
20 201963

About Sun H. Kim

Sun H. Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Physiology and Pathology and Forensic Medicine, having authored 136 papers that have together received 3.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Liver Disease Diagnosis and Treatment (13 papers), Diabetes Treatment and Management (13 papers), Diabetes Management and Research (9 papers), Diet, Metabolism, and Disease (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Diet and metabolism studies (6 papers) and Vitamin D Research Studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (772 citations), Molecular Medicine (134 citations), Epidemiology (799 citations), Reproductive Medicine (174 citations) and Physiology (473 citations). Sun H. Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Gerald M. Reaven, Fahim Abbasi, Carl L. Keen, Ki‐Chul Sung, Cindy Lamendola, John E. Taylor, Ki‐Chul Sung, Ruth B. Lathi, Michael A. Lobritz and Arnaud Gutierrez. Their work appears in journals such as Diabetes Care, The Journal of Clinical Endocrinology & Metabolism, Diabetes, Diabetes Obesity and Metabolism and Diabetes and Vascular Disease Research.

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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