Marc Nasoff
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Cell death mechanisms and regulation 5
- RNA and protein synthesis mechanisms 4
-
- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Geneviève Inchauspé (4 shared papers)S L Zebedee (3 shared papers)Quinn L. Deveraux (8 shared papers)A. M. Prince (1 shared paper)Deborah Knee (7 shared papers)Masahiko Sugitani (1 shared paper)Kim Quon (2 shared papers)A. M. Prince (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)Gene (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Marc Nasoff
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Hepatology 441
- Genetics 191
- Hematology 198
- Epidemiology 350
- Molecular Biology 638
Countries citing papers authored by Marc Nasoff
This map shows the geographic impact of Marc Nasoff'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 Marc Nasoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Nasoff more than expected).
Fields of papers citing papers by Marc Nasoff
This network shows the impact of papers produced by Marc Nasoff. 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 Marc Nasoff. The network helps show where Marc Nasoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Nasoff, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 247 | |
| 2 | 2015 | 227 | |
| 3 | 2004 | 131 | |
| 4 | 1991 | 111 | |
| 5 | 2004 | 92 | |
| 6 | 2005 | 86 | |
| 7 | 1991 | 76 | |
| 8 | 2008 | 60 | |
| 9 | 1984 | 55 | |
| 10 | 2009 | 53 | |
| 11 | 1984 | 47 | |
| 12 | 2015 | 43 | |
| 13 | 1993 | 26 | |
| 14 | 1985 | 24 | |
| 15 | 1980 | 23 | |
| 16 | 2008 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2022 | 11 | |
| 19 | 2000 | 9 | |
| 20 | 2003 | 8 |
About Marc Nasoff
Marc Nasoff is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Genetics, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Immunotherapy and Immune Responses (6 papers), Glycosylation and Glycoproteins Research (5 papers), Cell death mechanisms and regulation (5 papers), Bacterial Genetics and Biotechnology (4 papers), CAR-T cell therapy research (4 papers), Hepatitis C virus research (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Hepatology (441 citations), Genetics (191 citations), Hematology (198 citations), Epidemiology (350 citations) and Molecular Biology (638 citations). Marc Nasoff has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Geneviève Inchauspé, S L Zebedee, Quinn L. Deveraux, A. M. Prince, Deborah Knee, Masahiko Sugitani, Kim Quon, A. M. Prince, Richard E. Wolf and Léon Kautz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Journal of Clinical Oncology, Gene and Cancer Cell.
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.