John S. Kim

56 papers receiving 1.4k citations

Peers

John S. Kim
Comparison fields: 5 of 142
  • Physiology 211
  • Rehabilitation 49
  • Plant Science 272
  • Endocrinology 33
  • Critical Care and Intensive Care Medicine 24
Replace Yong‐Jae Kim with:
Yong‐Jae Kim South Korea
Ying Cheng China
Kaoru Okada Japan
Julio C. Sánchez Colombia
Jian‐Xiong An China
Ľubomíra Tóthová Slovakia
Jivko Stoyanov Switzerland
Éric Houdeau France
Lory Santarelli Italy
Giovanni Piccoli Italy
John S. Kim relative to Yong‐Jae Kim South Korea Yong‐Jae Kim's profile →
Citations per field
00.5×
Yong‐Jae Kim · 1×
Citations per year

Countries citing papers authored by John S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by John S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001106
2 2009104
3 1998101
4 2007100
5 199494
6 201171
7 200469
8 199868
9 200662
10 200650
11 200543
12 200540
13 201136
14 201936
15 200532
16 201132
17 200231
18 199730
19 199727
20 199624

About John S. Kim

John S. Kim is a scholar working on Molecular Biology, Physiology, Epidemiology, Plant Science and Biomedical Engineering, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Mechanical Circulatory Support Devices (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Geotechnical Engineering and Underground Structures (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Congenital Heart Disease Studies (4 papers), Attachment and Relationship Dynamics (3 papers) and Geotechnical Engineering and Analysis (3 papers). The work is most often cited by research in Physiology (211 citations), Rehabilitation (49 citations), Plant Science (272 citations), Endocrinology (33 citations) and Critical Care and Intensive Care Medicine (24 citations). John S. Kim has collaborated with scholars based in United States, Thailand and Brazil. Frequent co-authors include Erik J. Henriksen, Bradley L. Reuhs, Vitoon Saengsirisuwan, Mary K. Teachey, Denson G. Fujikawa, Betsy B. Dokken, Julie A. Sloniger, Steven R. White, Richard M. Barker and Rasappa Arumugham. Their work appears in journals such as Pacing and Clinical Electrophysiology, Journal of Geotechnical and Geoenvironmental Engineering, Free Radical Biology and Medicine, Pediatric Critical Care Medicine and ASAIO Journal.

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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