S. Garforth
Impact in
- Immunology top 5%
- Phagocytosis and Immune Regulation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- interferon and immune responses
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- DNA and Nucleic Acid Chemistry 7
- DNA Repair Mechanisms 4
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- HIV/AIDS drug development and treatment 8
- Co-authors
- Steven C. Almo (23 shared papers)William R. Jacobs (5 shared papers)Anthony D. Baughn (2 shared papers)James D. Love (5 shared papers)Kartik Chandran (4 shared papers)Rohit K. Jangra (4 shared papers)S.C. Almo (2 shared papers)Sergei V. Kotenko (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)PLoS ONE (3 papers)Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
S. Garforth
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Immunology 615
- Infectious Diseases 371
- Virology 75
- Oncology 251
- Molecular Biology 624
Countries citing papers authored by S. Garforth
This map shows the geographic impact of S. Garforth'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 S. Garforth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Garforth more than expected).
Fields of papers citing papers by S. Garforth
This network shows the impact of papers produced by S. Garforth. 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 S. Garforth. The network helps show where S. Garforth may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Garforth, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 222 | |
| 2 | 2020 | 218 | |
| 3 | 2014 | 193 | |
| 4 | 2015 | 133 | |
| 5 | 2018 | 126 | |
| 6 | 2017 | 103 | |
| 7 | 2014 | 81 | |
| 8 | 2007 | 80 | |
| 9 | 2009 | 58 | |
| 10 | 2020 | 37 | |
| 11 | 2019 | 34 | |
| 12 | 2017 | 31 | |
| 13 | 1999 | 30 | |
| 14 | 2013 | 30 | |
| 15 | 1997 | 29 | |
| 16 | 2020 | 24 | |
| 17 | 2022 | 22 | |
| 18 | 1999 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2021 | 20 |
About S. Garforth
S. Garforth is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Virology and Oncology, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), Immune Cell Function and Interaction (7 papers), DNA and Nucleic Acid Chemistry (7 papers), HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Immunology (615 citations), Infectious Diseases (371 citations), Virology (75 citations), Oncology (251 citations) and Molecular Biology (624 citations). S. Garforth has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Steven C. Almo, William R. Jacobs, Anthony D. Baughn, James D. Love, Kartik Chandran, Rohit K. Jangra, S.C. Almo, Sergei V. Kotenko, D.A. Calarese and Raymond B. Birge. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.