Stuart Kim

1.2k citations
20 papers · 988 · h-index 12

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biophysics top 2%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques

Papers in

Stuart Kim

18 papers receiving 927 citations

Peers

Stuart Kim
Comparison fields: 5 of 104
  • Aging 105
  • Biophysics 163
  • Radiology, Nuclear Medicine and Imaging 191
  • Immunology 180
  • Molecular Biology 566
Replace Yuhui Ni with:
Yuhui Ni China
Derek Thirstrup United States
Stefanie Reichelt United Kingdom
Andrea M. Femino United States
Emma W Vaimberg United States
Bryan Zeitler United States
Birte Sönnichsen Germany
Gregory M. Findlay United States
Adam Fraser United States
Jeffrey A. Hussmann United States
Stuart Kim relative to Yuhui Ni China Yuhui Ni's profile →
Citations per field
00.5×4.4×
Yuhui Ni · 1×
Citations per year

Countries citing papers authored by Stuart Kim

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2000338
2 1981300
3 200481
4 200358
5 199950
6 201125
7 199625
8 198921
9 201816
10 201615
11 198914
12 200813
13 20178
14 20188
15 20176
16 20176
17 19953
18 19991
19 20210
20 19960

About Stuart Kim

Stuart Kim is a scholar working on Aging, Molecular Biology, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Ecology, having authored 20 papers that have together received 988 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Cardiovascular Effects of Exercise (3 papers), Context-Aware Activity Recognition Systems (2 papers), Coccidia and coccidiosis research (2 papers), Tendon Structure and Treatment (2 papers), RNA Research and Splicing (2 papers), Parasite Biology and Host Interactions (2 papers) and Aquaculture disease management and microbiota (1 paper). The work is most often cited by research in Aging (105 citations), Biophysics (163 citations), Radiology, Nuclear Medicine and Imaging (191 citations), Immunology (180 citations) and Molecular Biology (566 citations). Stuart Kim has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Eric Sinn, Leroy Hood, Mark M. Davis, Mikhail V. Matz, Alexey V. Terskikh, Arkady F. Fradkov, Andrey G. Zaraisky, Irving L. Weissman, Xiaoning Zhao and G. A. Ermakova. Their work appears in journals such as International Journal of Sports Medicine, Developmental Dynamics, Bioinformatics, Journal of Helminthology and Genome 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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