David W. Kane

4.8k total citations · 1 hit paper
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, Netherlands and Germany. David W. Kane's co-authors include John N. Weinstein, Barry R. Zeebèrg, Margot Sunshine, William C. Reinhold, Kimberly J. Bussey, Joseph Riss, J. Carl Barrett, May D. Wang, 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 biological interpretation of geno... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David W. Kane United States 15 1.8k 315 184 183 154 18 2.4k
Uğis Sarkans United Kingdom 18 1.9k 1.0× 289 0.9× 108 0.6× 254 1.4× 85 0.6× 29 2.5k
D. B. Troup United States 7 2.2k 1.2× 498 1.6× 203 1.1× 313 1.7× 225 1.5× 9 2.9k
Carl F. Schaefer United States 23 1.7k 1.0× 295 0.9× 172 0.9× 226 1.2× 193 1.3× 43 2.7k
Mónica Chagoyen Spain 21 1.5k 0.8× 186 0.6× 102 0.6× 151 0.8× 77 0.5× 56 2.2k
Wolfgang Ziegler Germany 27 2.4k 1.3× 210 0.7× 322 1.8× 203 1.1× 98 0.6× 93 4.4k
Alan J. Robinson United Kingdom 34 3.1k 1.7× 175 0.6× 120 0.7× 176 1.0× 40 0.3× 61 4.1k
Fabien Campagne United States 22 1.9k 1.0× 205 0.7× 110 0.6× 201 1.1× 143 0.9× 48 2.9k
Xinghua Lu United States 28 1.3k 0.7× 350 1.1× 383 2.1× 101 0.6× 205 1.3× 151 2.4k
Astrid Lægreid Norway 28 2.1k 1.2× 311 1.0× 236 1.3× 248 1.4× 129 0.8× 75 3.1k
C. Evangelista United States 8 2.2k 1.2× 503 1.6× 208 1.1× 316 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

18 of 18 papers shown
1.
Broom, Bradley M., Michaël Ryan, Robert Brown, et al.. (2017). A Galaxy Implementation of Next-Generation Clustered Heatmaps for Interactive Exploration of Molecular Profiling Data. Cancer Research. 77(21). e23–e26. 26 indexed citations
2.
Shankavaram, Uma, Sudhir Varma, David W. Kane, et al.. (2009). CellMiner: a relational database and query tool for the NCI-60 cancer cell lines. BMC Genomics. 10(1). 277–277. 278 indexed citations
3.
Kestler, Hans A., André Frotta Müller, Johann M. Kraus, et al.. (2008). VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays. BMC Bioinformatics. 9(1). 67–67. 83 indexed citations
4.
Kane, David W., et al.. (2008). Software Architecture: Organizational Principles and Patterns. Medical Entomology and Zoology. 16 indexed citations
5.
Eichler, Gabriel S., Mark Reimers, David W. Kane, & John N. Weinstein. (2007). The LeFE algorithm: embracing the complexity of gene expression in the interpretation of microarray data. Genome biology. 8(9). R187–R187. 14 indexed citations
6.
Liu, Hongfang, Barry R. Zeebèrg, Gang Qu, et al.. (2007). AffyProbeMiner: a web resource for computing or retrieving accurately redefined Affymetrix probe sets. Bioinformatics. 23(18). 2385–2390. 58 indexed citations
7.
Nishizuka, Satoshi, Daisaku Morita, Margot Sunshine, et al.. (2006). AbMiner: A bioinformatic resource on available monoclonal antibodies and corresponding gene identifiers for genomic, proteomic, and immunologic studies. BMC Bioinformatics. 7(1). 192–192. 23 indexed citations
8.
Kane, David W., et al.. (2006). Agile methods in biomedical software development: a multi-site experience report. BMC Bioinformatics. 7(1). 273–273. 38 indexed citations
9.
Ule, Jernej, Aljaž Ule, Joanna L. Spencer-Segal, et al.. (2005). Nova regulates brain-specific splicing to shape the synapse. Nature Genetics. 37(8). 844–852. 390 indexed citations
11.
Schmier, Jordana K., David W. Kane, & Michael T. Halpern. (2005). Practical applications of usability theory to electronic data collection for clinical trials. Contemporary Clinical Trials. 26(3). 376–385. 12 indexed citations
12.
Zeebèrg, Barry R., Joseph Riss, David W. Kane, et al.. (2004). Mistaken Identifiers: Gene name errors can be introduced inadvertently when using Excel in bioinformatics. BMC Bioinformatics. 5(1). 80–80. 64 indexed citations
13.
Bussey, Kimberly J., David W. Kane, Margot Sunshine, et al.. (2003). MatchMiner: a tool for batch navigation among gene and gene product identifiers. Genome biology. 4(4). R27–R27. 129 indexed citations
14.
Zeebèrg, Barry R., Weimin Feng, May D. Wang, et al.. (2003). GoMiner: a resource for biological interpretation of genomic and proteomic data. Genome biology. 4(4). R28–R28. 963 indexed citations breakdown →
15.
Kane, David W.. (2003). Introducing agile development into bioinformatics: an experience report. 27. 132–139. 17 indexed citations
17.
Feng, Weimin, Barry R. Zeebèrg, Anthony T. Fojo, et al.. (2003). Development of gene ontology tool for biological interpretation of genomic and proteomic data.. PubMed. 839–839. 13 indexed citations
18.
Kane, David W., et al.. (1997). Applying software product-line architecture. Computer. 30(8). 49–55. 57 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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