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%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- HIV/AIDS drug development and treatment 8
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
- Virology 8
- HIV Research and Treatment 7
- Co-authors
- Steven C. Almo (21 shared papers)William R. Jacobs (5 shared papers)James D. Love (4 shared papers)Rohit K. Jangra (3 shared papers)Kartik Chandran (3 shared papers)Anthony D. Baughn (2 shared papers)Sergei V. Kotenko (2 shared papers)Daniel A. Calarese (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)PLoS ONE (3 papers)Journal of Clinical Investigation (3 papers)Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
S. Garforth
46 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Immunology 662
- Infectious Diseases 522
- Virology 81
- Oncology 265
- Molecular Biology 675
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 275 | |
| 2 | 2018 | 243 | |
| 3 | 2014 | 201 | |
| 4 | 2015 | 135 | |
| 5 | 2018 | 131 | |
| 6 | 2017 | 107 | |
| 7 | 2014 | 85 | |
| 8 | 2007 | 82 | |
| 9 | 2020 | 68 | |
| 10 | 2009 | 63 | |
| 11 | 2020 | 40 | |
| 12 | 2021 | 35 | |
| 13 | 2019 | 34 | |
| 14 | 2017 | 33 | |
| 15 | 2013 | 32 | |
| 16 | 1999 | 31 | |
| 17 | 1997 | 30 | |
| 18 | 2020 | 26 | |
| 19 | 2021 | 25 | |
| 20 | 2021 | 23 |
About S. Garforth
S. Garforth is a scholar working on Infectious Diseases, Virology, Immunology, Epidemiology and Oncology, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (7 papers), DNA and Nucleic Acid Chemistry (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Immunology (662 citations), Infectious Diseases (522 citations), Virology (81 citations), Oncology (265 citations) and Molecular Biology (675 citations). S. Garforth has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Steven C. Almo, William R. Jacobs, James D. Love, Rohit K. Jangra, Kartik Chandran, Anthony D. Baughn, Sergei V. Kotenko, Daniel A. Calarese, Jon R. Sayers and Raymond B. Birge. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Journal of Clinical Investigation, Nucleic Acids Research 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.