Robert E. Martell
Impact in
Papers in
-
- Histone Deacetylase Inhibitors Research 25
- Protein Degradation and Inhibitors 15
- Metabolism, Diabetes, and Cancer 9
- Oncology 39
- PARP inhibition in cancer therapy 9
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Jeffrey M. Besterman (16 shared papers)Zuomei Li (8 shared papers)Gregory K. Reid (11 shared papers)Robert U. Simpson (5 shared papers)Marja Dubay (11 shared papers)Anas Younes (14 shared papers)Ann Kalita (3 shared papers)Claire Bonfils (6 shared papers)
- Journals
- Journal of Clinical Oncology (37 papers)Blood (10 papers)British Journal of Haematology (3 papers)Cancer Research (3 papers)Clinical Cancer Research (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robert E. Martell
98 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 102
- Genetics 261
- Oncology 647
- Pathology and Forensic Medicine 348
- Molecular Biology 1.3k
- Hematology 190
Countries citing papers authored by Robert E. Martell
This map shows the geographic impact of Robert E. Martell'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 Robert E. Martell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Martell more than expected).
Fields of papers citing papers by Robert E. Martell
This network shows the impact of papers produced by Robert E. Martell. 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 Robert E. Martell. The network helps show where Robert E. Martell may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert E. Martell, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 205 | |
| 2 | 2011 | 165 | |
| 3 | 2001 | 126 | |
| 4 | 2008 | 108 | |
| 5 | 2009 | 98 | |
| 6 | 2007 | 97 | |
| 7 | 2008 | 83 | |
| 8 | 1987 | 68 | |
| 9 | 2002 | 66 | |
| 10 | 2002 | 64 | |
| 11 | 2013 | 56 | |
| 12 | 2012 | 55 | |
| 13 | 2013 | 52 | |
| 14 | 2014 | 50 | |
| 15 | 2002 | 47 | |
| 16 | 2010 | 46 | |
| 17 | 2008 | 39 | |
| 18 | 2008 | 37 | |
| 19 | 2021 | 34 | |
| 20 | 2023 | 33 |
About Robert E. Martell
Robert E. Martell is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Hematology, having authored 98 papers that have together received 2.3k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (25 papers), Protein Degradation and Inhibitors (15 papers), Acute Myeloid Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Metabolism, Diabetes, and Cancer (9 papers), PARP inhibition in cancer therapy (9 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Lung Cancer Treatments and Mutations (7 papers). The work is most often cited by research in Genetics (261 citations), Oncology (647 citations), Pathology and Forensic Medicine (348 citations), Molecular Biology (1.3k citations) and Hematology (190 citations). Robert E. Martell has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeffrey M. Besterman, Zuomei Li, Gregory K. Reid, Robert U. Simpson, Marja Dubay, Anas Younes, Ann Kalita, Claire Bonfils, Jennifer M. Taylor and Eric Laille. Their work appears in journals such as Journal of Clinical Oncology, Blood, British Journal of Haematology, Cancer Research and Clinical 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.