Jean‐Laurent Casanova
- Immunology top 0.01%
- Epidemiology top 0.05%
- Infectious Diseases top 0.02%
- Genetics top 0.05%
- Molecular Biology top 0.5%
- Co-authors
- Laurent AbelCapucine PïcardAnne PuelEmmanuelle JouanguyStéphanie Boisson‐DupuisAlain FischerJacinta BustamanteShen‐Ying Zhang
- Topics
- Immunodeficiency and Autoimmune Disorders (297 papers)Mycobacterium research and diagnosis (117 papers)Immune Cell Function and Interaction (113 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jean‐Laurent Casanova
623 papers receiving 42.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Immunology 27.0k
- Epidemiology 12.6k
- Infectious Diseases 11.0k
- Genetics 8.8k
- Molecular Biology 8.1k
Countries citing papers authored by Jean‐Laurent Casanova
This map shows the geographic impact of Jean‐Laurent Casanova'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‐Laurent Casanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Laurent Casanova more than expected).
Fields of papers citing papers by Jean‐Laurent Casanova
This network shows the impact of papers produced by Jean‐Laurent Casanova. 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‐Laurent Casanova. The network helps show where Jean‐Laurent Casanova may publish in the future.
Co-authorship network of co-authors of Jean‐Laurent Casanova
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Laurent Casanova. A scholar is included among the top collaborators of Jean‐Laurent Casanova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Laurent Casanova. Jean‐Laurent Casanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 80 | |
| 12 | 17 | |
| 13 | 17 | |
| 14 | 71 | |
| 15 | 130 | |
| 16 | 13 | |
| 17 | Whole-genome sequencing is more powerful than whole-exome sequencing for detecting exome variantsbreakdown → | 384 |
| 18 | 124 | |
| 19 | 3 | |
| 20 | 374 |
About Jean‐Laurent Casanova
Jean‐Laurent Casanova is a scholar working on Immunology, Infectious Diseases and Epidemiology, having authored 649 papers that have together received 43.7k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (297 papers), Mycobacterium research and diagnosis (117 papers) and Immune Cell Function and Interaction (113 papers). The work is most often cited by research in Immunology (27.0k citations), Infectious Diseases (11.0k citations) and Epidemiology (12.6k citations). Jean‐Laurent Casanova has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Laurent Abel, Capucine Pïcard, Anne Puel, Emmanuelle Jouanguy, Stéphanie Boisson‐Dupuis, Alain Fischer, Jacinta Bustamante, Shen‐Ying Zhang, Frédéric Altare and Claire Fieschi. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.