R. Borson
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 4
- HER2/EGFR in Cancer Research 4
- Cancer Treatment and Pharmacology 1
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Hope S. Rugo (3 shared papers)Barbara Klencke (3 shared papers)Howard A. Burris (2 shared papers)Svetislava J. Vukelja (2 shared papers)Joyce O’Shaughnessy (2 shared papers)Steven Limentani (2 shared papers)Elizabeth Tan-Chiu (2 shared papers)Yu-Waye Chu (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (1 paper)Clinical Breast Cancer (1 paper)American Journal of Hematology (1 paper)Applied Immunohistochemistry (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
R. Borson
7 papers receiving 660 citations
R. Borson's Hit Papers
Peers
Comparison fields: 5 of 50
- Oncology 574
- Radiology, Nuclear Medicine and Imaging 425
- Genetics 58
- Hematology 40
- Cancer Research 52
Countries citing papers authored by R. Borson
This map shows the geographic impact of R. Borson'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 R. Borson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Borson more than expected).
Fields of papers citing papers by R. Borson
This network shows the impact of papers produced by R. Borson. 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 R. Borson. The network helps show where R. Borson may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Borson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Phase II Study of the Antibody Drug Conjugate Trastuzumab-DM1 for the Treatment of Human Epidermal Growth Factor Receptor 2 (HER2) –Positive Breast Cancer After Prior HER2-Directed Therapy Hit paper breakdown → | 2010 | 568 |
| 2 | 2009 | 50 | |
| 3 | 1995 | 32 | |
| 4 | 2009 | 20 | |
| 5 | 2012 | 7 | |
| 6 | Retained Hickman catheter cuff as an infection source following allogeneic bone marrow transplant. | 1994 | 4 |
| 7 | 1999 | 1 |
About R. Borson
R. Borson is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Hematology, Cancer Research and Organic Chemistry, having authored 7 papers that have together received 682 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Breast Cancer Treatment Studies (2 papers), Hemophilia Treatment and Research (1 paper), Cancer Treatment and Pharmacology (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Oncology (574 citations), Radiology, Nuclear Medicine and Imaging (425 citations), Genetics (58 citations), Hematology (40 citations) and Cancer Research (52 citations). R. Borson has collaborated with scholars based in United States and India. Frequent co-authors include Hope S. Rugo, Barbara Klencke, Howard A. Burris, Svetislava J. Vukelja, Joyce O’Shaughnessy, Steven Limentani, Elizabeth Tan-Chiu, Yu-Waye Chu, Lukas C. Amler and Richard A. Michaelson. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Breast Cancer, American Journal of Hematology and Applied Immunohistochemistry.
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.