Brian Dolinski
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Chemokine receptors and signaling
Papers in
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- Cell Adhesion Molecules Research 10
-
- DNA Repair Mechanisms 2
- Co-authors
- Diane R. Leone (9 shared papers)Paul H. Weinreb (5 shared papers)Shelia M. Violette (5 shared papers)Roy R. Lobb (6 shared papers)Kenneth J. Simon (3 shared papers)Humphrey Gardner (3 shared papers)Linda C. Burkly (2 shared papers)Dian L. Olson (2 shared papers)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Cancer Research (2 papers)Blood (2 papers)Molecular Cancer Therapeutics (1 paper)Circulation (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Brian Dolinski
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Immunology and Allergy 361
- Oncology 321
- Immunology 237
- Hematology 124
- Hepatology 86
Countries citing papers authored by Brian Dolinski
This map shows the geographic impact of Brian Dolinski'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 Brian Dolinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Dolinski more than expected).
Fields of papers citing papers by Brian Dolinski
This network shows the impact of papers produced by Brian Dolinski. 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 Brian Dolinski. The network helps show where Brian Dolinski may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Dolinski, 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 | 2007 | 161 | |
| 2 | 2010 | 134 | |
| 3 | 2007 | 131 | |
| 4 | 2004 | 127 | |
| 5 | 2008 | 124 | |
| 6 | 2005 | 81 | |
| 7 | Anti-alpha4 integrin monoclonal antibody inhibits multiple myeloma growth in a murine model. | 2005 | 51 |
| 8 | 2003 | 48 | |
| 9 | 2005 | 47 | |
| 10 | 2008 | 36 | |
| 11 | 2002 | 32 | |
| 12 | 2015 | 31 | |
| 13 | 2006 | 29 | |
| 14 | 2003 | 26 | |
| 15 | 2005 | 17 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2010 | 1 |
About Brian Dolinski
Brian Dolinski is a scholar working on Immunology and Allergy, Molecular Biology, Oncology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Platelet Disorders and Treatments (4 papers), Chemokine receptors and signaling (3 papers), Virus-based gene therapy research (2 papers), DNA Repair Mechanisms (2 papers), HER2/EGFR in Cancer Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology and Allergy (361 citations), Oncology (321 citations), Immunology (237 citations), Hematology (124 citations) and Hepatology (86 citations). Brian Dolinski has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Diane R. Leone, Paul H. Weinreb, Shelia M. Violette, Roy R. Lobb, Kenneth J. Simon, Humphrey Gardner, Linda C. Burkly, Dian L. Olson, Dean Sheppard and Paul Rayhorn. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Cancer Research, Blood, Molecular Cancer Therapeutics and Circulation.
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.