Vida Chams
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 15
- HIV Research and Treatment 15
- Immunology 10
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 2
- Co-authors
- B Bizzini (8 shared papers)David Klatzmann (6 shared papers)Daniel Zagury (6 shared papers)Arsène Burny (5 shared papers)Elena Santagostino (5 shared papers)A. Gringeri (4 shared papers)Abderrahim Lachgar (3 shared papers)Jacky Bernard (3 shared papers)
In The Last Decade
Vida Chams
18 papers receiving 598 citations
Peers
Comparison fields: 5 of 72
- Virology 378
- Immunology 354
- Infectious Diseases 87
- Hepatology 25
- Epidemiology 79
Countries citing papers authored by Vida Chams
This map shows the geographic impact of Vida Chams'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 Vida Chams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vida Chams more than expected).
Fields of papers citing papers by Vida Chams
This network shows the impact of papers produced by Vida Chams. 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 Vida Chams. The network helps show where Vida Chams may publish in the future.
Co-authors
The 25 scholars most cited alongside Vida Chams, 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 | 1998 | 166 | |
| 2 | 1998 | 156 | |
| 3 | 1988 | 57 | |
| 4 | 1996 | 32 | |
| 5 | 1997 | 30 | |
| 6 | 1992 | 29 | |
| 7 | 1991 | 23 | |
| 8 | Biological properties of anti-CD4 autoantibodies purified from HIV-infected patients. | 1991 | 23 |
| 9 | 1999 | 21 | |
| 10 | 2002 | 18 | |
| 11 | Are CD4 and Fas peptide identities of gp120 relevant to the molecular basis of AIDS pathogenesis? | 1995 | 14 |
| 12 | Evidence for an antiviral effect and interferon neutralizing capacity in human sera; variability and implications for HIV infection. | 1995 | 11 |
| 13 | 1986 | 9 | |
| 14 | 1996 | 7 | |
| 15 | 2003 | 6 | |
| 16 | 1995 | 5 | |
| 17 | 1992 | 4 | |
| 18 | 1992 | 2 |
About Vida Chams
Vida Chams is a scholar working on Virology, Immunology, Epidemiology, Molecular Biology and Hepatology, having authored 18 papers that have together received 613 indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Immune Cell Function and Interaction (10 papers), Hepatitis C virus research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), T-cell and B-cell Immunology (2 papers), Lipid Membrane Structure and Behavior (2 papers), RNA Interference and Gene Delivery (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Virology (378 citations), Immunology (354 citations), Infectious Diseases (87 citations), Hepatology (25 citations) and Epidemiology (79 citations). Vida Chams has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include B Bizzini, David Klatzmann, Daniel Zagury, Arsène Burny, Elena Santagostino, A. Gringeri, Abderrahim Lachgar, Jacky Bernard, Jay Rappaport and Robert C. Gallo. Their work appears in journals such as Biomedicine & Pharmacotherapy, AIDS, Proceedings of the National Academy of Sciences, Antimicrobial Agents and Chemotherapy and European Journal of Biochemistry.
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.