F Gotch
- Virology top 0.5%
- HIV Research and Treatment 32
- Immunology top 1%
- Immune Cell Function and Interaction 25
- T-cell and B-cell Immunology 12
- Immunotherapy and Immune Responses 11
- Epidemiology top 5%
- Influenza Virus Research Studies 9
- Cytomegalovirus and herpesvirus research 9
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 12
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Andrew J. McMichaelGeoffrey L. SmithBernard MossJonathan B. RothbardDouglas F. NixonNesrina ImamiAlain TownsendC A Lamb
- Cited by
- VirologyImmunologyEpidemiology
- Journals
- Clinical & Experimental Immunology (12 papers)HIV Medicine (5 papers)The Journal of Experimental Medicine (4 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
F Gotch
64 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 92
- Virology 870
- Immunology 1.7k
- Epidemiology 844
- Infectious Diseases 444
- Radiology, Nuclear Medicine and Imaging 234
Countries citing papers authored by F Gotch
This map shows the geographic impact of F Gotch'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 F Gotch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Gotch more than expected).
Fields of papers citing papers by F Gotch
This network shows the impact of papers produced by F Gotch. 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 F Gotch. The network helps show where F Gotch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F Gotch, 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 | 2004 | 25 | |
| 2 | 2003 | 39 | |
| 3 | 2003 | 6 | |
| 4 | 2001 | 4 | |
| 5 | 2000 | 9 | |
| 6 | 2000 | 47 | |
| 7 | 1999 | 7 | |
| 8 | 1997 | 20 | |
| 9 | 1996 | 2 | |
| 10 | 1996 | 38 | |
| 11 | IMMUNOGENIC HIV VARIANT PEPTIDES THAT BIND TO HLA-B8 BUT FAIL TO STIMULATE CYTOTOXIC T-LYMPHOCYTE RESPONSES | 1995 | 2 |
| 12 | EPITOPE VARIATION AND T-CELL RECOGNITION | 1995 | 1 |
| 13 | 1995 | 125 | |
| 14 | 1992 | 15 | |
| 15 | 1990 | 336 | |
| 16 | 1990 | 91 | |
| 17 | 1989 | 1 | |
| 18 | 1988 | 106 | |
| 19 | 1987 | 214 | |
| 20 | 1987 | 12 |
About F Gotch
F Gotch is a scholar working on Virology, Immunology and Epidemiology, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (32 papers), Immune Cell Function and Interaction (25 papers), HIV/AIDS Research and Interventions (12 papers), T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (11 papers), Influenza Virus Research Studies (9 papers), Cytomegalovirus and herpesvirus research (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Virology (870 citations), Immunology (1.7k citations) and Epidemiology (844 citations). F Gotch has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Andrew J. McMichael, Geoffrey L. Smith, Bernard Moss, Jonathan B. Rothbard, Douglas F. Nixon, Nesrina Imami, Alain Townsend, C A Lamb, Peter Cresswell and Vincenzo Cerundolo. Their work appears in journals such as Clinical & Experimental Immunology, HIV Medicine, The Journal of Experimental Medicine, The Journal of Immunology and The Lancet.
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.