Eric S. Martin
Impact in
Papers in
-
- Melanoma and MAPK Pathways 5
- PI3K/AKT/mTOR signaling in cancer 4
- Fibroblast Growth Factor Research 3
- Virology 11
- HIV Research and Treatment 11
- Co-authors
- Carlo M. Croce (5 shared papers)Rossano Cesari (5 shared papers)George A. Calin (3 shared papers)Lynda Chin (3 shared papers)Ronald A. DePinho (4 shared papers)Bin Feng (3 shared papers)Anatoliy Koval (1 shared paper)Susan A. Shinton (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)Proceedings of the National Academy of Sciences (5 papers)Clinical Cancer Research (4 papers)Retrovirology (4 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Eric S. Martin
56 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 108
- Virology 213
- Genetics 379
- Cancer Research 331
- Immunology 446
- Molecular Biology 1.4k
Countries citing papers authored by Eric S. Martin
This map shows the geographic impact of Eric S. Martin'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 S. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Martin more than expected).
Fields of papers citing papers by Eric S. Martin
This network shows the impact of papers produced by Eric S. Martin. 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 S. Martin. The network helps show where Eric S. Martin may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric S. Martin, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 443 | |
| 2 | 2005 | 391 | |
| 3 | 2005 | 284 | |
| 4 | 2003 | 269 | |
| 5 | 2011 | 107 | |
| 6 | 2004 | 103 | |
| 7 | 1989 | 82 | |
| 8 | 2013 | 70 | |
| 9 | 2013 | 68 | |
| 10 | 2012 | 65 | |
| 11 | Genomic organization of the human c-kit gene: evolution of the receptor tyrosine kinase subclass III. | 1992 | 60 |
| 12 | 2007 | 54 | |
| 13 | 2013 | 52 | |
| 14 | 2010 | 50 | |
| 15 | 2009 | 49 | |
| 16 | 2016 | 49 | |
| 17 | 2003 | 45 | |
| 18 | 2014 | 39 | |
| 19 | 2014 | 38 | |
| 20 | 2013 | 31 |
About Eric S. Martin
Eric S. Martin is a scholar working on Molecular Biology, Virology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Colorectal Cancer Treatments and Studies (5 papers), Melanoma and MAPK Pathways (5 papers), Genetic factors in colorectal cancer (5 papers), Streptococcal Infections and Treatments (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Virology (213 citations), Genetics (379 citations), Cancer Research (331 citations), Immunology (446 citations) and Molecular Biology (1.4k citations). Eric S. Martin has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Carlo M. Croce, Rossano Cesari, George A. Calin, Lynda Chin, Ronald A. DePinho, Bin Feng, Anatoliy Koval, Susan A. Shinton, Giandomenico Russo and Richard R. Hardy. Their work appears in journals such as Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, Clinical Cancer Research, Retrovirology and PLoS ONE.
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.