Jack S. Kim

673 citations
7 papers · 562 · h-index 7

Impact in

    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Advanced Proteomics Techniques and Applications
    • Protein Structure and Dynamics
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • RNA and protein synthesis mechanisms

Papers in

    • Mass Spectrometry Techniques and Applications 7
    • Protein Kinase Regulation and GTPase Signaling 4
    • Receptor Mechanisms and Signaling 2
    • Ion channel regulation and function 2

Jack S. Kim

7 papers receiving 543 citations

Peers

Jack S. Kim
Comparison fields: 5 of 64
  • Spectroscopy 239
  • Molecular Biology 420
  • Cell Biology 65
  • Materials Chemistry 133
  • Biochemistry 13
Replace Paul T. Jedrzejewski with:
Paul T. Jedrzejewski United States
Jamillah Zamoon United States
Charlotta Johansson Sweden
CHARIS GHÉLIS France
Marco Faini Switzerland
Dayin Lin United States
Laura Orellana Sweden
A. Saskia Venne Germany
Anne Norris Baldwin United States
Cédric Atmanène France
Jack S. Kim relative to Paul T. Jedrzejewski United States Paul T. Jedrzejewski's profile →
Citations per field
00.5×1.5×1.8×
Paul T. Jedrzejewski · 1×
Citations per year

Countries citing papers authored by Jack S. Kim

Since Specialization
Citations

This map shows the geographic impact of Jack 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 Jack 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 Jack S. Kim more than expected).

Fields of papers citing papers by Jack S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jack 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 Jack S. Kim Line = papers co-authored together Jack S. Kim links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2003180
2 2004107
3 200482
4 200269
5 200556
6 200349
7 200319

About Jack S. Kim

Jack S. Kim is a scholar working on Spectroscopy, Molecular Biology, Biochemistry, Genetics and Cell Biology, having authored 7 papers that have together received 562 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (7 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (2 papers), Ion channel regulation and function (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Enzyme Structure and Function (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Hemoglobin structure and function (1 paper). The work is most often cited by research in Spectroscopy (239 citations), Molecular Biology (420 citations), Cell Biology (65 citations), Materials Chemistry (133 citations) and Biochemistry (13 citations). Jack S. Kim has collaborated with scholars based in United States. Frequent co-authors include Virgil L. Woods, David D. Stranz, Yoshitomo Hamuro, Susan S. Taylor, Joan J. Englander, S. Walter Englander, Patricia A. Jennings, Heath E. Klock, Ian A. Wilson and Raymond C. Stevens. Their work appears in journals such as Journal of Molecular Biology, Protein Science and Proceedings of the National Academy of Sciences.

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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