Nicolas Legrand
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Virology top 2%
- HIV Research and Treatment
Papers in
- Immunology 31
- Immune Cell Function and Interaction 22
- T-cell and B-cell Immunology 22
- Immunotherapy and Immune Responses 16
- Virology 6
- HIV Research and Treatment 6
- Co-authors
- Hergen SpitsKees WeijerAntónio A. FreitasMartine PapiernikAfonso R. M. AlmeidaJames P. Di SantoNicholas D. HuntingtonNuno L. Alves
- Journals
- The Journal of Immunology (8 papers)European Journal of Immunology (4 papers)The Journal of Experimental Medicine (3 papers)Blood (3 papers)Journal of Leukocyte Biology (2 papers)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Nicolas Legrand
45 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 2.4k
- Virology 230
- Hematology 247
- Oncology 516
- Genetics 442
Countries citing papers authored by Nicolas Legrand
This map shows the geographic impact of Nicolas Legrand'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 Nicolas Legrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Legrand more than expected).
Fields of papers citing papers by Nicolas Legrand
This network shows the impact of papers produced by Nicolas Legrand. 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 Nicolas Legrand. The network helps show where Nicolas Legrand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicolas Legrand, 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 | 2022 | 5 | |
| 2 | 2020 | 9 | |
| 3 | 2015 | 5 | |
| 4 | 2014 | 4 | |
| 5 | Human type 1 innate lymphoid cells accumulate in inflamed mucosal tissues Hit paper breakdown → | 2013 | 775 |
| 6 | 2009 | 18 | |
| 7 | 2009 | 64 | |
| 8 | 2009 | 83 | |
| 9 | 2008 | 85 | |
| 10 | 2008 | 26 | |
| 11 | 2008 | 64 | |
| 12 | 2007 | 38 | |
| 13 | 2007 | 30 | |
| 14 | 2006 | 37 | |
| 15 | 2006 | 135 | |
| 16 | 2006 | 9 | |
| 17 | 2005 | 35 | |
| 18 | 2002 | 390 | |
| 19 | 2001 | 8 | |
| 20 | 2001 | 8 |
About Nicolas Legrand
Nicolas Legrand is a scholar working on Immunology, Virology, Oncology, Genetics and Immunology and Allergy, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (22 papers), Immunotherapy and Immune Responses (16 papers), CAR-T cell therapy research (10 papers), Virus-based gene therapy research (9 papers), HIV Research and Treatment (6 papers), RNA Interference and Gene Delivery (5 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Immunology (2.4k citations), Virology (230 citations), Hematology (247 citations), Oncology (516 citations) and Genetics (442 citations). Nicolas Legrand has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Hergen Spits, Kees Weijer, António A. Freitas, Martine Papiernik, Afonso R. M. Almeida, James P. Di Santo, Nicholas D. Huntington, Nuno L. Alves, Willem A. Bemelman and Charlotte P. Peters. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, The Journal of Experimental Medicine, Blood and Journal of Leukocyte Biology.
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.