Laure Bourdery
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Immune Response and Inflammation
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Immunodeficiency and Autoimmune Disorders 1
- Immune Response and Inflammation 1
- Oncology 3
- CAR-T cell therapy research 2
- Viral-associated cancers and disorders 1
- Co-authors
- Jacques Banchereau (6 shared papers)Nathalie Schmitt (5 shared papers)Hideki Ueno (5 shared papers)Rimpei Morita (3 shared papers)Salah-Eddine Bentebibel (3 shared papers)Virginia Pascual (3 shared papers)Emile Foucat (3 shared papers)Marilynn Punaro (2 shared papers)
- Journals
- Immunity (3 papers)Journal of Clinical Oncology (1 paper)Blood (1 paper)Nature Immunology (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Laure Bourdery
7 papers receiving 1.9k citations
Laure Bourdery's Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 1.4k
- Virology 147
- Transplantation 49
- Rheumatology 164
- Immunology and Allergy 47
Countries citing papers authored by Laure Bourdery
This map shows the geographic impact of Laure Bourdery'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 Laure Bourdery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laure Bourdery more than expected).
Fields of papers citing papers by Laure Bourdery
This network shows the impact of papers produced by Laure Bourdery. 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 Laure Bourdery. The network helps show where Laure Bourdery may publish in the future.
Co-authors
The 25 scholars most cited alongside Laure Bourdery, 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 Blood CXCR5+CD4+ T Cells Are Counterparts of T Follicular Cells and Contain Specific Subsets that Differentially Support Antibody Secretion Hit paper breakdown → | 2011 | 1223 |
| 2 | 2009 | 280 | |
| 3 | 2014 | 258 | |
| 4 | 2013 | 124 | |
| 5 | 2011 | 32 | |
| 6 | 2016 | 21 | |
| 7 | 2010 | 1 |
About Laure Bourdery
Laure Bourdery is a scholar working on Immunology, Oncology, Molecular Biology, Virology and Infectious Diseases, having authored 7 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers), Viral-associated cancers and disorders (1 paper), HIV Research and Treatment (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (1.4k citations), Virology (147 citations), Transplantation (49 citations), Rheumatology (164 citations) and Immunology and Allergy (47 citations). Laure Bourdery has collaborated with scholars based in United States and France. Frequent co-authors include Jacques Banchereau, Nathalie Schmitt, Hideki Ueno, Rimpei Morita, Salah-Eddine Bentebibel, Virginia Pascual, Emile Foucat, Marilynn Punaro, Mélissa Dullaers and Gérard Zurawski. Their work appears in journals such as Immunity, Journal of Clinical Oncology, Blood, Nature Immunology and PLoS Pathogens.
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.