David W. Kane

78 total papers · 4.8k total citations
18 papers, 2.4k citations indexed

About

David W. Kane is a scholar working on Molecular Biology, Information Systems and Artificial Intelligence. According to data from OpenAlex, David W. Kane has authored 18 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in David W. Kane's work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (8 papers) and Software Engineering Techniques and Practices (4 papers). David W. Kane is often cited by papers focused on Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (8 papers) and Software Engineering Techniques and Practices (4 papers). David W. Kane collaborates with scholars based in United States, Japan and Canada. David W. Kane's co-authors include John N. Weinstein, Barry R. Zeebèrg, Margot Sunshine, William C. Reinhold, Kimberly J. Bussey, J. Carl Barrett, Joseph Riss, Anthony T. Fojo, Samir Lababidi and Weimin Feng and has published in prestigious journals such as Nature Genetics, Bioinformatics and Cancer Research.

In The Last Decade

David W. Kane

18 papers receiving 2.4k citations

Hit Papers

GoMiner: a resource for b... 2003 2026 2010 2018 2003 250 500 750

Author Peers

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

Author Last Decade Papers Cites
David W. Kane 1.8k 313 185 183 154 18 2.4k
Uğis Sarkans 1.8k 1.0× 287 0.9× 106 0.6× 251 1.4× 84 0.5× 29 2.5k
D. B. Troup 2.2k 1.2× 497 1.6× 202 1.1× 312 1.7× 225 1.5× 9 2.9k
Carl F. Schaefer 1.7k 1.0× 295 0.9× 172 0.9× 225 1.2× 192 1.2× 43 2.7k
Sutisak Kitareewan 2.4k 1.4× 219 0.7× 363 2.0× 352 1.9× 52 0.3× 21 3.3k
Seiya Imoto 1.7k 1.0× 305 1.0× 196 1.1× 259 1.4× 134 0.9× 21 2.8k
Mónica Chagoyen 1.5k 0.8× 186 0.6× 100 0.5× 151 0.8× 77 0.5× 56 2.2k
Adam Kowalczyk 1.1k 0.6× 290 0.9× 199 1.1× 344 1.9× 138 0.9× 46 2.4k
Tim Hulsen 954 0.5× 140 0.4× 118 0.6× 146 0.8× 88 0.6× 28 1.9k
Johannes Köster 1.6k 0.9× 248 0.8× 162 0.9× 307 1.7× 73 0.5× 44 2.4k
C. Evangelista 2.2k 1.2× 502 1.6× 207 1.1× 315 1.7× 227 1.5× 10 2.9k

Countries citing papers authored by David W. Kane

Since Specialization
Citations

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

Fields of papers citing papers by David W. Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Kane. 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 David W. Kane. The network helps show where David W. Kane may publish in the future.

Co-authorship network of co-authors of David W. Kane

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Kane. A scholar is included among the top collaborators of David W. Kane 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 David W. Kane. David W. Kane 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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