Mark D. Starr
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune cells in cancer
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
- Oncology 14
- Colorectal Cancer Treatments and Studies 5
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Andrew B. Nixon (27 shared papers)Mervin C. Yöder (3 shared papers)Susan Mineka (1 shared paper)Scott Arne Johnson (2 shared papers)Xiaodong Xie (2 shared papers)William Christopher Shelley (1 shared paper)Weiming Li (1 shared paper)Paul R. Morrison (1 shared paper)
- Journals
- Cancer Medicine (4 papers)Molecular Cancer Therapeutics (3 papers)Gynecologic Oncology (3 papers)Journal of Clinical Investigation (3 papers)Cancer Chemotherapy and Pharmacology (2 papers)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Mark D. Starr
47 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 126
- Immunology 596
- Cell Biology 435
- Immunology and Allergy 140
- Oncology 497
- Hematology 208
Countries citing papers authored by Mark D. Starr
This map shows the geographic impact of Mark D. Starr'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 Mark D. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Starr more than expected).
Fields of papers citing papers by Mark D. Starr
This network shows the impact of papers produced by Mark D. Starr. 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 Mark D. Starr. The network helps show where Mark D. Starr may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. Starr, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 390 | |
| 2 | 2003 | 271 | |
| 3 | 2020 | 203 | |
| 4 | 2001 | 147 | |
| 5 | 2018 | 127 | |
| 6 | 2013 | 101 | |
| 7 | 1977 | 92 | |
| 8 | 2013 | 86 | |
| 9 | 2016 | 80 | |
| 10 | 2013 | 61 | |
| 11 | 1991 | 47 | |
| 12 | 2020 | 39 | |
| 13 | 2014 | 39 | |
| 14 | 1984 | 38 | |
| 15 | 2022 | 36 | |
| 16 | 2011 | 35 | |
| 17 | 2014 | 31 | |
| 18 | 2019 | 28 | |
| 19 | 2014 | 27 | |
| 20 | 2013 | 25 |
About Mark D. Starr
Mark D. Starr is a scholar working on Oncology, Cell Biology, Hematology, Molecular Biology and Cancer Research, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Genetic factors in colorectal cancer (4 papers), Renal cell carcinoma treatment (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Platelet Disorders and Treatments (3 papers), Immune cells in cancer (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Immunology (596 citations), Cell Biology (435 citations), Immunology and Allergy (140 citations), Oncology (497 citations) and Hematology (208 citations). Mark D. Starr has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Andrew B. Nixon, Mervin C. Yöder, Susan Mineka, Scott Arne Johnson, Xiaodong Xie, William Christopher Shelley, Weiming Li, Paul R. Morrison, Michael J. Ferkowicz and Gerard C. Blobe. Their work appears in journals such as Cancer Medicine, Molecular Cancer Therapeutics, Gynecologic Oncology, Journal of Clinical Investigation and Cancer Chemotherapy and Pharmacology.
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.