Mark I. Greene
Impact in
- Oncology top 0.5%
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 43
- Oncology 32
- HER2/EGFR in Cancer Research 23
- CAR-T cell therapy research 6
- Co-authors
- Jeffrey A. DrebinDavid F. SternRobert A. WeinbergA.H. SehonShigeyoshi FujimotoRamachandran MuraliAlan BerezovStuart J. Decker
- Journals
- Nature Biotechnology (4 papers)Pathobiology (4 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Immunologic Research (3 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Mark I. Greene
74 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Oncology 2.8k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Immunology 1.3k
- Immunology and Allergy 227
- Molecular Biology 2.3k
Countries citing papers authored by Mark I. Greene
This map shows the geographic impact of Mark I. Greene'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 I. Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark I. Greene more than expected).
Fields of papers citing papers by Mark I. Greene
This network shows the impact of papers produced by Mark I. Greene. 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 I. Greene. The network helps show where Mark I. Greene may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark I. Greene, 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 | 2023 | 6 | |
| 2 | 2011 | 6 | |
| 3 | 2010 | 433 | |
| 4 | 2008 | 13 | |
| 5 | 2007 | 20 | |
| 6 | 2007 | 454 | |
| 7 | 2006 | 10 | |
| 8 | 2003 | 9 | |
| 9 | 2000 | 138 | |
| 10 | 2000 | 155 | |
| 11 | 1999 | 16 | |
| 12 | 1997 | 35 | |
| 13 | 1997 | 20 | |
| 14 | 1993 | 2 | |
| 15 | 1992 | 1 | |
| 16 | 1991 | 6 | |
| 17 | 1991 | 54 | |
| 18 | p185neu expression in human lung adenocarcinomas predicts shortened survival. | 1990 | 373 |
| 19 | 1990 | 11 | |
| 20 | 1989 | 17 |
About Mark I. Greene
Mark I. Greene is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Immunology, Space and Planetary Science and Molecular Biology, having authored 74 papers that have together received 5.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (43 papers), HER2/EGFR in Cancer Research (23 papers), Glycosylation and Glycoproteins Research (17 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers), Virus-based gene therapy research (6 papers), CAR-T cell therapy research (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Oncology (2.8k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Immunology (1.3k citations), Immunology and Allergy (227 citations) and Molecular Biology (2.3k citations). Mark I. Greene has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Jeffrey A. Drebin, David F. Stern, Robert A. Weinberg, A.H. Sehon, Shigeyoshi Fujimoto, Ramachandran Murali, Alan Berezov, Stuart J. Decker, Alan L. Schechter and Hongtao Zhang. Their work appears in journals such as Nature Biotechnology, Pathobiology, The Journal of Immunology, Proceedings of the National Academy of Sciences and Immunologic 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.