Deborah Farson
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Genetics top 5%
- Virus-based gene therapy research
Papers in
- Genetics 7
- Virus-based gene therapy research 6
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Mina J. Bissell (4 shared papers)John R. Hassell (1 shared paper)Judith Aggeler (1 shared paper)H.Glenn Hall (1 shared paper)Lu Qin (2 shared papers)M H Finer (2 shared papers)Donna O. Bunch (1 shared paper)G. Greenburg (1 shared paper)
- Journals
- The Journal of Gene Medicine (3 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (2 papers)Human Gene Therapy (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Deborah Farson
13 papers receiving 1.4k citations
Deborah Farson's Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology and Allergy 173
- Genetics 521
- Oncology 441
- Cell Biology 211
- Molecular Biology 744
Countries citing papers authored by Deborah Farson
This map shows the geographic impact of Deborah Farson'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 Deborah Farson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Farson more than expected).
Fields of papers citing papers by Deborah Farson
This network shows the impact of papers produced by Deborah Farson. 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 Deborah Farson. The network helps show where Deborah Farson may publish in the future.
Co-authors
The 25 scholars most cited alongside Deborah Farson, 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 | Influence of a reconstituted basement membrane and its components on casein gene expression and secretion in mouse mammary epithelial cells. Hit paper breakdown → | 1987 | 520 |
| 2 | 1982 | 230 | |
| 3 | 1994 | 189 | |
| 4 | 2001 | 117 | |
| 5 | 1997 | 101 | |
| 6 | Antigen-specific cytolysis by neutrophils and NK cells expressing chimeric immune receptors bearing zeta or gamma signaling domains. | 1998 | 66 |
| 7 | 1998 | 54 | |
| 8 | 2004 | 53 | |
| 9 | 1978 | 40 | |
| 10 | 1979 | 26 | |
| 11 | 1999 | 23 | |
| 12 | 1994 | 15 | |
| 13 | 2006 | 8 | |
| 14 | 1999 | 0 |
About Deborah Farson
Deborah Farson is a scholar working on Genetics, Molecular Biology, Oncology, Immunology and Virology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), T-cell and B-cell Immunology (3 papers), HIV Research and Treatment (3 papers), Collagen: Extraction and Characterization (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology and Allergy (173 citations), Genetics (521 citations), Oncology (441 citations), Cell Biology (211 citations) and Molecular Biology (744 citations). Deborah Farson has collaborated with scholars based in United States and Italy. Frequent co-authors include Mina J. Bissell, John R. Hassell, Judith Aggeler, H.Glenn Hall, Lu Qin, M H Finer, Donna O. Bunch, G. Greenburg, Ryan McGuinness and Luigi Naldini. Their work appears in journals such as The Journal of Gene Medicine, Proceedings of the National Academy of Sciences, Blood, Human Gene Therapy and The Journal of Immunology.
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.