Jaetaek Kim

2.7k citations
67 papers · 2.0k indexed · h-index 25
Topics
Metabolism, Diabetes, and Cancer (13 papers)Cardiovascular Function and Risk Factors (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)

In The Last Decade

Jaetaek Kim

64 papers receiving 1.9k citations

Peers

Jaetaek Kim
Comparison fields: 5 of 131
  • Molecular Biology 875
  • Cardiology and Cardiovascular Medicine 609
  • Endocrinology, Diabetes and Metabolism 306
  • Physiology 300
  • Surgery 195
Replace Chi Zhang with:
Chi Zhang China
Junya Kuroda Japan
Daniela Sorriento Italy
Andreas Beyer United States
Bernd van der Loo Switzerland
Narayana Anilkumar United Kingdom
Adam Harvey United Kingdom
Kun Lian China
Loren E. Wold United States
Manuel Rodrı́guez-Puyol Spain
Jaetaek Kim relative to Chi Zhang China Chi Zhang's profile →
Citations per field
00.5×1.6×
Chi Zhang · 1×
Citations per year

Countries citing papers authored by Jaetaek Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jaetaek Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaetaek Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jaetaek Kim. A scholar is included among the top collaborators of Jaetaek Kim 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 Jaetaek Kim. Jaetaek Kim 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 5
3 4
4 33
5 12
6 123
7 54
8 17
9 6
10 13
11 13
12 44
13 25
14 18
15
A case of papillary thyroid cancer and pheochromocytoma with ganglioneuroma
1
16
제2형 당뇨병환자에서 대사증후군의 유병률
11
17 4
18 88
19 112
20 4

About Jaetaek Kim

Jaetaek Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Aging, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Cardiovascular Function and Risk Factors (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (609 citations), Endocrinology, Diabetes and Metabolism (306 citations) and Aging (28 citations). Jaetaek Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Wang Soo Lee, E. Dale Abel, Hyun Min Kim, Heather Theobald, Sandra Sena, Sheldon E. Litwin, Benjamin Wayment, Adam R. Wende, Jihyun Ahn and Woo Jin Park. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Cell Metabolism.

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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