David Cherba
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Single-cell and spatial transcriptomics 2
- Melanoma and MAPK Pathways 2
- Bioinformatics and Genomic Networks 2
-
- Veterinary Oncology Research 3
- Co-authors
- Craig P. Webb (13 shared papers)William F. Punch (3 shared papers)Phillip M. Duxbury (1 shared paper)Simon J. L. Billinge (2 shared papers)Pavol Juhás (2 shared papers)Ana C. deCarvalho (2 shared papers)Tom Mikkelsen (2 shared papers)Laila Poisson (2 shared papers)
- Journals
- Journal of Translational Medicine (4 papers)PLoS ONE (3 papers)Clinical Cancer Research (1 paper)Journal of Thoracic Oncology (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
David Cherba
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 317
- Genetics 95
- Oncology 208
- Molecular Biology 467
- Biotechnology 50
Countries citing papers authored by David Cherba
This map shows the geographic impact of David Cherba'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 Cherba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cherba more than expected).
Fields of papers citing papers by David Cherba
This network shows the impact of papers produced by David Cherba. 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 Cherba. The network helps show where David Cherba may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cherba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 185 | |
| 2 | 2006 | 160 | |
| 3 | 2014 | 125 | |
| 4 | 2010 | 111 | |
| 5 | 2009 | 99 | |
| 6 | 2012 | 57 | |
| 7 | 2013 | 50 | |
| 8 | 2015 | 47 | |
| 9 | 2014 | 26 | |
| 10 | Melanoma patient derived xenografts acquire distinct Vemurafenib resistance mechanisms. | 2015 | 26 |
| 11 | 2015 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2011 | 21 | |
| 14 | 2014 | 17 | |
| 15 | 2013 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 2012 | 12 | |
| 18 | 2006 | 7 | |
| 19 | 2014 | 6 | |
| 20 | 2005 | 5 |
About David Cherba
David Cherba is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Computational Theory and Mathematics, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Veterinary Oncology Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Single-cell and spatial transcriptomics (2 papers), X-ray Diffraction in Crystallography (2 papers), Cancer Cells and Metastasis (2 papers), Melanoma and MAPK Pathways (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Cancer Research (317 citations), Genetics (95 citations), Oncology (208 citations), Molecular Biology (467 citations) and Biotechnology (50 citations). David Cherba has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Craig P. Webb, William F. Punch, Phillip M. Duxbury, Simon J. L. Billinge, Pavol Juhás, Ana C. deCarvalho, Tom Mikkelsen, Laila Poisson, Yuri Nikolsky and Mary E. Winn. Their work appears in journals such as Journal of Translational Medicine, PLoS ONE, Clinical Cancer Research, Journal of Thoracic Oncology and BMC Systems Biology.
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.