Omid Vafa
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Immunology top 5%
Papers in
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- Glycosylation and Glycoproteins Research 6
- Protein purification and stability 6
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- Monoclonal and Polyclonal Antibodies Research 14
- Co-authors
- Kevin F. Sullivan (4 shared papers)Geoffrey M. Wahl (3 shared papers)Mark Wade (1 shared paper)S Kern (1 shared paper)Garret M. Hampton (1 shared paper)Tej K. Pandita (1 shared paper)Richard D. Shelby (2 shared papers)Vinay Tergaonkar (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Current Biology (2 papers)BMC Biotechnology (2 papers)mAbs (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Omid Vafa
28 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 875
- Immunology 671
- Molecular Biology 2.0k
- Oncology 758
- Cancer Research 373
Countries citing papers authored by Omid Vafa
This map shows the geographic impact of Omid Vafa'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 Omid Vafa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Vafa more than expected).
Fields of papers citing papers by Omid Vafa
This network shows the impact of papers produced by Omid Vafa. 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 Omid Vafa. The network helps show where Omid Vafa may publish in the future.
Co-authors
The 25 scholars most cited alongside Omid Vafa, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | c-Myc Can Induce DNA Damage, Increase Reactive Oxygen Species, and Mitigate p53 Function Hit paper breakdown → | 2002 | 720 |
| 2 | Engineered antibody Fc variants with enhanced effector function Hit paper breakdown → | 2006 | 590 |
| 3 | 1997 | 291 | |
| 4 | 2002 | 271 | |
| 5 | 1997 | 262 | |
| 6 | 2010 | 189 | |
| 7 | 1997 | 137 | |
| 8 | 2013 | 117 | |
| 9 | 1989 | 110 | |
| 10 | 2019 | 82 | |
| 11 | 2009 | 69 | |
| 12 | 1990 | 63 | |
| 13 | 2010 | 63 | |
| 14 | 2020 | 60 | |
| 15 | 1991 | 58 | |
| 16 | 2012 | 38 | |
| 17 | 2011 | 31 | |
| 18 | 1999 | 27 | |
| 19 | 1995 | 20 | |
| 20 | 2005 | 13 |
About Omid Vafa
Omid Vafa is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cell Biology and Immunology, having authored 28 papers that have together received 3.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (6 papers), Protein purification and stability (6 papers), CAR-T cell therapy research (4 papers), Chromosomal and Genetic Variations (4 papers), Microtubule and mitosis dynamics (4 papers), Orbital Angular Momentum in Optics (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (875 citations), Immunology (671 citations), Molecular Biology (2.0k citations), Oncology (758 citations) and Cancer Research (373 citations). Omid Vafa has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Kevin F. Sullivan, Geoffrey M. Wahl, Mark Wade, S Kern, Garret M. Hampton, Tej K. Pandita, Richard D. Shelby, Vinay Tergaonkar, Inder M. Verma and Matthew P. Pando. Their work appears in journals such as Journal of Clinical Oncology, Current Biology, BMC Biotechnology, mAbs and Proceedings of the National Academy of Sciences.
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.