Jean‐François Zagury
- Virology top 1%
- HIV Research and Treatment 25
- Genetics top 1%
- Genetic Associations and Epidemiology 9
- Genetic Mapping and Diversity in Plants and Animals 7
- Immunology top 5%
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 6
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- Computational Drug Discovery Methods 15
- Molecular Biology top 5%
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Olivier DelaneauJonathan MarchiniMatthieu MontèsNathalie LagardeJay RappaportCédric CoulongesHouria HendelMatthew R. Robinson
- Cited by
- VirologyGeneticsImmunology
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jean‐François Zagury
73 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Virology 691
- Genetics 1.3k
- Immunology 810
- Computational Theory and Mathematics 354
- Molecular Biology 1.3k
Countries citing papers authored by Jean‐François Zagury
This map shows the geographic impact of Jean‐François Zagury'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 Jean‐François Zagury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐François Zagury more than expected).
Fields of papers citing papers by Jean‐François Zagury
This network shows the impact of papers produced by Jean‐François Zagury. 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 Jean‐François Zagury. The network helps show where Jean‐François Zagury may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐François Zagury, 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 | 2025 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2019 | 21 | |
| 4 | 2018 | 8 | |
| 5 | 2018 | 18 | |
| 6 | 2017 | 12 | |
| 7 | 2017 | 6 | |
| 8 | 2017 | 13 | |
| 9 | 2016 | 63 | |
| 10 | 2016 | 8 | |
| 11 | 2015 | 78 | |
| 12 | 2015 | 2 | |
| 13 | 2011 | 34 | |
| 14 | A linear complexity phasing method for thousands of genomesbreakdown → | 2011 | 1014 |
| 15 | 2008 | 29 | |
| 16 | 2003 | 72 | |
| 17 | 2001 | 18 | |
| 18 | 1999 | 19 | |
| 19 | 1995 | 5 | |
| 20 | 1994 | 19 |
About Jean‐François Zagury
Jean‐François Zagury is a scholar working on Virology, Immunology and Computational Theory and Mathematics, having authored 73 papers that have together received 3.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), Computational Drug Discovery Methods (15 papers), Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (10 papers), Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Immunotherapy and Immune Responses (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Virology (691 citations), Genetics (1.3k citations) and Immunology (810 citations). Jean‐François Zagury has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Olivier Delaneau, Jonathan Marchini, Matthieu Montès, Nathalie Lagarde, Jay Rappaport, Cédric Coulonges, Houria Hendel, Matthew R. Robinson, Emmanouil T. Dermitzakis and Bryan Howie. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.
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.