Fatim Cham
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 12
- HIV Research and Treatment 12
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- HIV/AIDS drug development and treatment 7
- HIV/AIDS Research and Interventions 5
- Co-authors
- Gerald V. Quinnan (5 shared papers)Peter Bouma (5 shared papers)Anil Choudhary (4 shared papers)Christopher C. Broder (4 shared papers)Hilton Whittle (5 shared papers)Koya Ariyoshi (3 shared papers)Dimiter S. Dimitrov (3 shared papers)Pengfei Zhang (3 shared papers)
- Journals
- Journal of Virology (2 papers)AIDS (2 papers)Virology (2 papers)AIDS Research and Human Retroviruses (2 papers)American Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesSwitzerlandGambia
In The Last Decade
Fatim Cham
20 papers receiving 622 citations
Peers
Comparison fields: 5 of 61
- Virology 353
- Infectious Diseases 178
- Immunology 195
- Medical Laboratory Technology 10
- Radiology, Nuclear Medicine and Imaging 130
Countries citing papers authored by Fatim Cham
This map shows the geographic impact of Fatim Cham'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 Fatim Cham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatim Cham more than expected).
Fields of papers citing papers by Fatim Cham
This network shows the impact of papers produced by Fatim Cham. 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 Fatim Cham. The network helps show where Fatim Cham may publish in the future.
Co-authors
The 25 scholars most cited alongside Fatim Cham, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 137 | |
| 2 | 2004 | 71 | |
| 3 | 2003 | 64 | |
| 4 | 1998 | 62 | |
| 5 | 2007 | 60 | |
| 6 | 2007 | 50 | |
| 7 | 1995 | 39 | |
| 8 | 2013 | 39 | |
| 9 | 2014 | 20 | |
| 10 | 2005 | 20 | |
| 11 | 2003 | 17 | |
| 12 | 2000 | 16 | |
| 13 | 2015 | 11 | |
| 14 | 2011 | 8 | |
| 15 | 2000 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Fatim Cham
Fatim Cham is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Epidemiology, having authored 21 papers that have together received 645 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), HIV/AIDS drug development and treatment (7 papers), HIV/AIDS Research and Interventions (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hepatitis C virus research (2 papers), Data-Driven Disease Surveillance (2 papers) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Virology (353 citations), Infectious Diseases (178 citations), Immunology (195 citations), Medical Laboratory Technology (10 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Fatim Cham has collaborated with scholars based in United States, Switzerland and Gambia. Frequent co-authors include Gerald V. Quinnan, Peter Bouma, Anil Choudhary, Christopher C. Broder, Hilton Whittle, Koya Ariyoshi, Dimiter S. Dimitrov, Pengfei Zhang, Tumani Corrah and Sehu Sabally. Their work appears in journals such as Journal of Virology, AIDS, Virology, AIDS Research and Human Retroviruses and American Journal of Clinical Pathology.
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.