David W. Kane
- Molecular Biology top 5%
- Cancer Research top 5%
- Oncology
- Genetics top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- John N. WeinsteinBarry R. ZeebèrgMargot SunshineWilliam C. ReinholdKimberly J. BusseyJoseph RissJ. Carl BarrettMay D. Wang
- Topics
- Gene expression and cancer classification (9 papers)Bioinformatics and Genomic Networks (8 papers)Software Engineering Techniques and Practices (4 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
David W. Kane
18 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.8k
- Cancer Research 315
- Oncology 184
- Genetics 183
- Pulmonary and Respiratory Medicine 154
Countries citing papers authored by David W. Kane
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 278 | |
| 3 | 83 | |
| 4 | Software Architecture: Organizational Principles and Patterns | 16 |
| 5 | 14 | |
| 6 | 58 | |
| 7 | 23 | |
| 8 | 38 | |
| 9 | 390 | |
| 10 | 229 | |
| 11 | 12 | |
| 12 | 64 | |
| 13 | 129 | |
| 14 | GoMiner: a resource for biological interpretation of genomic and proteomic databreakdown → | 963 |
| 15 | 17 | |
| 16 | 37 | |
| 17 | Development of gene ontology tool for biological interpretation of genomic and proteomic data. | 13 |
| 18 | 57 |
About David W. Kane
David W. Kane is a scholar working on Statistics and Probability, Molecular Biology and Human-Computer Interaction, having authored 18 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (8 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (315 citations) and Aging (29 citations). David W. Kane has collaborated with scholars based in United States, Netherlands and Germany. Frequent 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. Their work appears in journals such as Nature Genetics, Bioinformatics and Cancer Research.
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.