Eric Talevich
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cutaneous Melanoma Detection and Management
Papers in
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- Melanoma and MAPK Pathways 2
- Biomedical Text Mining and Ontologies 2
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Boris C. Bastian (8 shared papers)A. Hunter Shain (6 shared papers)Thomas Botton (3 shared papers)Natarajan Kannan (8 shared papers)Iwei Yeh (8 shared papers)Jeffrey P. North (3 shared papers)Beth S. Ruben (2 shared papers)Corrado D’Arrigo (2 shared papers)
- Journals
- Modern Pathology (4 papers)BMC Evolutionary Biology (3 papers)PLoS Computational Biology (2 papers)Nature Communications (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Eric Talevich
21 papers receiving 2.9k citations
Eric Talevich's Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 621
- Oncology 940
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 282
- Parasitology 108
Countries citing papers authored by Eric Talevich
This map shows the geographic impact of Eric Talevich'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 Eric Talevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Talevich more than expected).
Fields of papers citing papers by Eric Talevich
This network shows the impact of papers produced by Eric Talevich. 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 Eric Talevich. The network helps show where Eric Talevich may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Talevich, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing Hit paper breakdown → | 2016 | 1148 |
| 2 | The Genetic Evolution of Melanoma from Precursor Lesions Hit paper breakdown → | 2015 | 698 |
| 3 | 2013 | 134 | |
| 4 | 2015 | 132 | |
| 5 | 2012 | 106 | |
| 6 | 2019 | 90 | |
| 7 | 2016 | 86 | |
| 8 | 2019 | 75 | |
| 9 | 2017 | 72 | |
| 10 | 2013 | 68 | |
| 11 | 2011 | 68 | |
| 12 | 2017 | 64 | |
| 13 | 2016 | 60 | |
| 14 | 2012 | 46 | |
| 15 | 2014 | 42 | |
| 16 | 2014 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2010 | 14 | |
| 19 | Biopython Tutorial and Cookbook | 2013 | 4 |
| 20 | 2016 | 3 |
About Eric Talevich
Eric Talevich is a scholar working on Molecular Biology, Cancer Research, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Malaria Research and Control (2 papers), Breast Lesions and Carcinomas (2 papers), Occupational and environmental lung diseases (2 papers), Toxoplasma gondii Research Studies (2 papers), Melanoma and MAPK Pathways (2 papers), Cancer and Skin Lesions (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Cancer Research (621 citations), Oncology (940 citations), Molecular Biology (1.2k citations), Pathology and Forensic Medicine (282 citations) and Parasitology (108 citations). Eric Talevich has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Boris C. Bastian, A. Hunter Shain, Thomas Botton, Natarajan Kannan, Iwei Yeh, Jeffrey P. North, Beth S. Ruben, Corrado D’Arrigo, Reinhard Dummer and Laura B. Pincus. Their work appears in journals such as Modern Pathology, BMC Evolutionary Biology, PLoS Computational Biology, Nature Communications and Journal of Proteome 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.