Stuart K. Kim

19.3k total citations · 3 hit papers
99 papers, 12.6k citations indexed

About

Stuart K. Kim is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Stuart K. Kim has authored 99 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Aging, 50 papers in Molecular Biology and 18 papers in Endocrine and Autonomic Systems. Recurrent topics in Stuart K. Kim's work include Genetics, Aging, and Longevity in Model Organisms (65 papers), Circadian rhythm and melatonin (18 papers) and CRISPR and Genetic Engineering (16 papers). Stuart K. Kim is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (65 papers), Circadian rhythm and melatonin (18 papers) and CRISPR and Genetic Engineering (16 papers). Stuart K. Kim collaborates with scholars based in United States, United Kingdom and China. Stuart K. Kim's co-authors include Joshua M. Stuart, Eran Segal, Daphne Koller, John Wang, V Reinke, Jim Lund, Charles W. Whitfield, Min Jiang, Irving L. Weissman and David L. Vaux and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Stuart K. Kim

99 papers receiving 12.3k citations

Hit Papers

A Gene-Coexpression Network for Global Discovery of Con... 1990 2026 2002 2014 2003 2001 1990 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stuart K. Kim United States 53 8.2k 4.7k 1.6k 1.4k 1.2k 99 12.6k
Andrew Fraser United Kingdom 43 10.0k 1.2× 8.1k 1.7× 1.2k 0.8× 1.8k 1.3× 1.3k 1.1× 123 15.9k
Julie Ahringer United Kingdom 50 12.0k 1.5× 10.0k 2.1× 1.4k 0.9× 2.1k 1.4× 2.7k 2.3× 88 17.6k
Jan Vijg United States 67 10.6k 1.3× 3.0k 0.6× 2.2k 1.4× 3.6k 2.5× 657 0.6× 294 16.3k
Monica Driscoll United States 56 5.6k 0.7× 5.1k 1.1× 582 0.4× 2.3k 1.6× 895 0.8× 140 10.8k
Donna G. Albertson United States 62 9.4k 1.1× 2.2k 0.5× 5.9k 3.7× 731 0.5× 1.1k 0.9× 164 16.2k
David E. Hill United States 59 10.2k 1.2× 1.3k 0.3× 1.6k 1.0× 788 0.5× 1.4k 1.2× 179 14.1k
Joshua M. Kaplan United States 46 3.5k 0.4× 3.6k 0.8× 695 0.4× 771 0.5× 1.4k 1.2× 87 8.2k
Albertha J.M. Walhout United States 51 7.5k 0.9× 2.7k 0.6× 904 0.6× 535 0.4× 507 0.4× 134 9.6k
David M. Virshup United States 66 8.5k 1.0× 896 0.2× 1.3k 0.8× 1.5k 1.1× 1.8k 1.5× 179 14.2k
Andrew I. Su United States 51 8.7k 1.1× 611 0.1× 2.1k 1.3× 1.7k 1.2× 1.3k 1.1× 146 16.1k

Countries citing papers authored by Stuart K. Kim

Since Specialization
Citations

This map shows the geographic impact of Stuart K. 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 K. 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 K. Kim more than expected).

Fields of papers citing papers by Stuart K. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart K. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart K. Kim. A scholar is included among the top collaborators of Stuart K. 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 Stuart K. Kim. Stuart K. 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
1.
Kim, Stuart K., et al.. (2021). A genome-wide association study for shoulder impingement and rotator cuff disease. Journal of Shoulder and Elbow Surgery. 30(9). 2134–2145. 13 indexed citations
2.
Kim, Stuart K., Yelena V. Budovskaya, & Thomas E. Johnson. (2012). Reconciliation of daf-2 suppression by elt-3 in Caenorhabditis elegans from and. Mechanisms of Ageing and Development. 134(1-2). 64–65. 2 indexed citations
3.
Xu, Xiao & Stuart K. Kim. (2011). The early bird catches the worm: new technologies for the Caenorhabditis elegans toolkit. Nature Reviews Genetics. 12(11). 793–801. 37 indexed citations
4.
Kim, Stuart K., et al.. (2009). Properties of Balanced Permutations. Journal of Computational Biology. 16(4). 625–638. 11 indexed citations
5.
Liu, Xiao, Fuhui Long, Min Jiang, et al.. (2009). Analysis of Cell Fate from Single-Cell Gene Expression Profiles in C. elegans. Cell. 139(3). 623–633. 109 indexed citations
6.
Kim, Stuart K.. (2008). 9 Genome-wide Views of Aging Gene Networks. Cold Spring Harbor Monograph Archive. 51. 215–235. 2 indexed citations
7.
Budovskaya, Yelena V., et al.. (2008). An elt-3/elt-5/elt-6 GATA Transcription Circuit Guides Aging in C. elegans. Cell. 134(2). 291–303. 187 indexed citations
8.
Warren, Luigi, Derrick J. Rossi, Geoffrey Schiebinger, et al.. (2007). Transcriptional instability is not a universal attribute of aging. Aging Cell. 6(6). 775–782. 42 indexed citations
9.
Viswanathan, Mohan, et al.. (2005). A Role for SIR-2.1 Regulation of ER Stress Response Genes in Determining C. elegans Life Span. Developmental Cell. 9(5). 605–615. 326 indexed citations
10.
Stuart, Joshua M., Eran Segal, Daphne Koller, & Stuart K. Kim. (2003). A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules. Science. 302(5643). 249–255. 1640 indexed citations breakdown →
11.
Piano, Fabio, Aaron J. Schetter, Diane G. Morton, et al.. (2002). Gene Clustering Based on RNAi Phenotypes of Ovary-Enriched Genes in C. elegans. Current Biology. 12(22). 1959–1964. 202 indexed citations
12.
Romagnolo, Béatrice, Min Jiang, Carrie V. Breton, et al.. (2002). Downstream Targets of let-60 Ras in Caenorhabditis elegans. Developmental Biology. 247(1). 127–136. 19 indexed citations
13.
Walhout, Albertha J.M., Jérôme Reboul, Olena Shtanko, et al.. (2002). Integrating Interactome, Phenome, and Transcriptome Mapping Data for the C. elegans Germline. Current Biology. 12(22). 1952–1958. 134 indexed citations
14.
Kim, Stuart K., Jim Lund, Min Jiang, et al.. (2001). A Gene Expression Map for Caenorhabditis elegans. Science. 293(5537). 2087–2092. 522 indexed citations breakdown →
15.
Kim, Stuart K.. (2001). Functional genomics: The worm scores a knockout. Current Biology. 11(3). R85–R87. 21 indexed citations
16.
Mohler, William A., et al.. (2000). The Caenorhabditis elegans APC-related gene apr-1 is required for epithelial cell migration and Hox gene expression. Genes & Development. 14(7). 874–886. 87 indexed citations
17.
Reinke, V, Harold E. Smith, Jeremy Nance, et al.. (2000). A Global Profile of Germline Gene Expression in C. elegans. Molecular Cell. 6(3). 605–616. 495 indexed citations
18.
Kaech, Susan M., Charles W. Whitfield, & Stuart K. Kim. (1998). The LIN-2/LIN-7/LIN-10 Complex Mediates Basolateral Membrane Localization of the C. elegans EGF Receptor LET-23 in Vulval Epithelial Cells. Cell. 94(6). 761–771. 312 indexed citations
19.
Rongo, Christopher, Charles W. Whitfield, Avital A. Rodal, Stuart K. Kim, & Joshua M. Kaplan. (1998). LIN-10 Is a Shared Component of the Polarized Protein Localization Pathways in Neurons and Epithelia. Cell. 94(6). 751–759. 225 indexed citations
20.
Hajnal, Alex, Charles W. Whitfield, & Stuart K. Kim. (1997). Inhibition ofCaenorhabditis elegansvulval induction bygap-1and bylet-23receptor tyrosine kinase. Genes & Development. 11(20). 2715–2728. 80 indexed citations

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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