Jeffrey H. Kim

12 total papers · 1.6k total citations
8 papers, 1.2k citations indexed

About

Jeffrey H. Kim is a scholar working on Molecular Biology, Pharmacology and Cell Biology. According to data from OpenAlex, Jeffrey H. Kim has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Cell Biology. Recurrent topics in Jeffrey H. Kim's work include Genomics and Phylogenetic Studies (5 papers), Microtubule and mitosis dynamics (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). Jeffrey H. Kim is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Microtubule and mitosis dynamics (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). Jeffrey H. Kim collaborates with scholars based in United States, Netherlands and Germany. Jeffrey H. Kim's co-authors include Benjamin H. Kwok, Tarun M. Kapoor, Erwin J.G. Peterman, Christoph F. Schmidt, Lukas C. Kapitein, Sean F. Brady, Paula Y. Calle, Dimitris Kallifidas, Zhiyang Feng and Fangyuan Chang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Applied and Environmental Microbiology.

In The Last Decade

Jeffrey H. Kim

8 papers receiving 1.2k citations

Hit Papers

The bipolar mitotic kines... 2005 2026 2012 2019 2005 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeffrey H. Kim 918 661 304 120 118 8 1.2k
Jui Yoa Chang 927 1.0× 165 0.2× 110 0.4× 106 0.9× 42 0.4× 10 1.4k
Alexander Eichner 677 0.7× 85 0.1× 235 0.8× 120 1.0× 57 0.5× 7 919
Nicolas Grammel 530 0.6× 91 0.1× 382 1.3× 301 2.5× 86 0.7× 12 928
G. Cohen 820 0.9× 84 0.1× 258 0.8× 100 0.8× 105 0.9× 21 1.3k
Elena B. Porro 1.1k 1.2× 350 0.5× 72 0.2× 281 2.3× 28 0.2× 8 1.4k
Michael G. LaCelle 716 0.8× 89 0.1× 437 1.4× 129 1.1× 136 1.2× 6 984
Lidia Araújo‐Bazán 797 0.9× 339 0.5× 237 0.8× 388 3.2× 79 0.7× 21 1.1k
Justyna Sawa‐Makarska 857 0.9× 283 0.4× 51 0.2× 73 0.6× 59 0.5× 19 1.4k
Shirley Yang 800 0.9× 241 0.4× 83 0.3× 50 0.4× 54 0.5× 14 1.2k
Andreas W. Thomae 773 0.8× 91 0.1× 270 0.9× 197 1.6× 34 0.3× 26 1.0k

Countries citing papers authored by Jeffrey H. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey H. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey H. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey H. Kim. A scholar is included among the top collaborators of Jeffrey H. 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 Jeffrey H. Kim. Jeffrey H. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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