Yun Sok Lee

11.8k citations
88 papers · 9.2k indexed · 8 hit papers · h-index 48
Topics
Adipokines, Inflammation, and Metabolic Diseases (19 papers)Adipose Tissue and Metabolism (18 papers)Reproductive tract infections research (17 papers)

In The Last Decade

Yun Sok Lee

84 papers receiving 9.0k citations

Hit Papers

Berberine, a Natural Plant Product, Activates AMP-Activat...200620262012201920062014201120152016250500750

Peers

Yun Sok Lee
Comparison fields: 5 of 152
  • Epidemiology 3.5k
  • Molecular Biology 3.5k
  • Physiology 2.3k
  • Immunology 1.6k
  • Microbiology 1.1k
Replace Kazuhiro Ito with:
Kazuhiro Ito United Kingdom
Corinna Hermann Germany
Nan Chiang United States
Jesmond Dalli United Kingdom
Thomas M. Stulnig Austria
Jamel El‐Benna France
Charles E. McCall United States
János G. Filep Canada
Alex B. Lentsch United States
Chuen‐Mao Yang Taiwan
Yun Sok Lee relative to Kazuhiro Ito United Kingdom Kazuhiro Ito's profile →
Citations per field
00.5×5.3×
Kazuhiro Ito · 1×
Citations per year

Countries citing papers authored by Yun Sok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yun Sok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Sok Lee. 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 Yun Sok Lee. The network helps show where Yun Sok Lee may publish in the future.

Co-authorship network of co-authors of Yun Sok Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Sok Lee. A scholar is included among the top collaborators of Yun Sok Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun Sok Lee. Yun Sok Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 23
3 0
4 60
5 6
6 16
7 30
8 27
9 178
10 65
11
Increased Adipocyte O2 Consumption Triggers HIF-1α, Causing Inflammation and Insulin Resistance in Obesitybreakdown →
468
12 113
13 51
14 238
15 36
16 9
17 110
18 61
19 35
20 221

About Yun Sok Lee

Yun Sok Lee is a scholar working on Microbiology, Epidemiology and Immunology, having authored 88 papers that have together received 9.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (19 papers), Adipose Tissue and Metabolism (18 papers) and Reproductive tract infections research (17 papers). The work is most often cited by research in Microbiology (1.1k citations), Epidemiology (3.5k citations) and Physiology (2.3k citations). Yun Sok Lee has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Jerrold M. Olefsky, Jae Bum Kim, Phillip R. Bennett, David A. MacIntyre, Joshua Wollam, Julian R. Marchesi, Ann Smith, Hyun Woo Lee, Ayoung Kim and Wei Ying. Their work appears in journals such as Cell, The Lancet and Nucleic Acids 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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