G Varior-Krishnan
Impact in
- Epidemiology top 2%
- Virology and Viral Diseases
- Respiratory viral infections research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Virology and Viral Diseases 6
- Respiratory viral infections research 2
-
- Immunodeficiency and Autoimmune Disorders 2
- Immune Cell Function and Interaction 1
- Co-authors
- Denis Gerlier (6 shared papers)Denise Naniche (4 shared papers)C. Rabourdin-Combe (2 shared papers)Bernard Rossi (1 shared paper)Thorsten Wild (1 shared paper)F Cervoni (1 shared paper)Chantal Rabourdin‐Combe (4 shared papers)Alicia I. Cardoso (1 shared paper)
- Journals
- Journal of Virology (3 papers)The Journal of Experimental Medicine (1 paper)Cell Biology International (1 paper)Journal of General Virology (1 paper)Oncogene (1 paper)
- Partner nations
- FranceMoroccoSwitzerland
In The Last Decade
G Varior-Krishnan
7 papers receiving 912 citations
G Varior-Krishnan's Hit Papers
Peers
Comparison fields: 5 of 45
- Epidemiology 773
- Infectious Diseases 328
- Animal Science and Zoology 163
- Immunology 274
- Virology 41
Countries citing papers authored by G Varior-Krishnan
This map shows the geographic impact of G Varior-Krishnan'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 G Varior-Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Varior-Krishnan more than expected).
Fields of papers citing papers by G Varior-Krishnan
This network shows the impact of papers produced by G Varior-Krishnan. 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 G Varior-Krishnan. The network helps show where G Varior-Krishnan may publish in the future.
Co-authors
The 17 scholars most cited alongside G Varior-Krishnan, 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 | Human membrane cofactor protein (CD46) acts as a cellular receptor for measles virus Hit paper breakdown → | 1993 | 738 |
| 2 | 1996 | 101 | |
| 3 | 1994 | 32 | |
| 4 | 1994 | 32 | |
| 5 | 1994 | 26 | |
| 6 | 1994 | 10 | |
| 7 | 1997 | 3 |
About G Varior-Krishnan
G Varior-Krishnan is a scholar working on Epidemiology, Immunology, Cardiology and Cardiovascular Medicine, Genetics and Infectious Diseases, having authored 7 papers that have together received 942 indexed citations. Recurring topics across this work include Virology and Viral Diseases (6 papers), Viral Infections and Immunology Research (2 papers), Respiratory viral infections research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Virus-based gene therapy research (2 papers), HIV Research and Treatment (1 paper), Immune Cell Function and Interaction (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Epidemiology (773 citations), Infectious Diseases (328 citations), Animal Science and Zoology (163 citations), Immunology (274 citations) and Virology (41 citations). G Varior-Krishnan has collaborated with scholars based in France, Morocco and Switzerland. Frequent co-authors include Denis Gerlier, Denise Naniche, C. Rabourdin-Combe, Bernard Rossi, Thorsten Wild, F Cervoni, Chantal Rabourdin‐Combe, Alicia I. Cardoso, Branka Horvat and Pierre Rivailler. Their work appears in journals such as Journal of Virology, The Journal of Experimental Medicine, Cell Biology International, Journal of General Virology and Oncogene.
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.