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)Deborah Knee (7 shared papers)A. M. Prince (1 shared paper)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)Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)Gene (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Marc Nasoff
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Hepatology 433
- Genetics 180
- Hematology 190
- Epidemiology 329
- Radiology, Nuclear Medicine and Imaging 200
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 | 232 | |
| 3 | 2004 | 131 | |
| 4 | 1991 | 111 | |
| 5 | 2004 | 91 | |
| 6 | 2005 | 87 | |
| 7 | 1991 | 76 | |
| 8 | 2008 | 60 | |
| 9 | 1984 | 56 | |
| 10 | 2009 | 54 | |
| 11 | 1984 | 47 | |
| 12 | 2015 | 43 | |
| 13 | 1993 | 26 | |
| 14 | 1985 | 24 | |
| 15 | 1980 | 23 | |
| 16 | 2008 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2022 | 12 | |
| 19 | 2000 | 9 | |
| 20 | 2021 | 9 |
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), Hepatitis C virus research (4 papers), CAR-T cell therapy research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Hepatology (433 citations), Genetics (180 citations), Hematology (190 citations), Epidemiology (329 citations) and Radiology, Nuclear Medicine and Imaging (200 citations). Marc Nasoff has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Geneviève Inchauspé, S L Zebedee, Quinn L. Deveraux, Deborah Knee, A. M. Prince, Masahiko Sugitani, Kim Quon, A. M. Prince, Richard E. Wolf and Xin Du. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology, Cancer Research, Gene and Molecular Biology of the 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.