Aurélie Bauquet
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
- Immune Response and Inflammation 1
- Oncology 4
- CAR-T cell therapy research 4
- Co-authors
- Meike Mitsdoerffer (1 shared paper)I‐Cheng Ho (1 shared paper)Arlene H. Sharpe (1 shared paper)Alison M. Paterson (1 shared paper)Hulin Jin (1 shared paper)Vijay K. Kuchroo (2 shared papers)Alice Bertaina (2 shared papers)Francesca Moretta (1 shared paper)
In The Last Decade
Aurélie Bauquet
6 papers receiving 648 citations
Aurélie Bauquet's Hit Papers
Peers
Comparison fields: 5 of 51
- Immunology 586
- Hematology 87
- Oncology 115
- Transplantation 10
- Virology 16
Countries citing papers authored by Aurélie Bauquet
This map shows the geographic impact of Aurélie Bauquet'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 Aurélie Bauquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélie Bauquet more than expected).
Fields of papers citing papers by Aurélie Bauquet
This network shows the impact of papers produced by Aurélie Bauquet. 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 Aurélie Bauquet. The network helps show where Aurélie Bauquet may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélie Bauquet, 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 | The costimulatory molecule ICOS regulates the expression of c-Maf and IL-21 in the development of follicular T helper cells and TH-17 cells Hit paper breakdown → | 2008 | 573 |
| 2 | 2013 | 74 | |
| 3 | 2013 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2012 | 1 | |
| 7 | 2024 | 0 |
About Aurélie Bauquet
Aurélie Bauquet is a scholar working on Immunology, Oncology, Hematology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 7 papers that have together received 654 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Pluripotent Stem Cells Research (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (586 citations), Hematology (87 citations), Oncology (115 citations), Transplantation (10 citations) and Virology (16 citations). Aurélie Bauquet has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Meike Mitsdoerffer, I‐Cheng Ho, Arlene H. Sharpe, Alison M. Paterson, Hulin Jin, Vijay K. Kuchroo, Alice Bertaina, Francesca Moretta, Franco Locatelli and Giuseppe Palumbo. Their work appears in journals such as Blood, Nature Immunology, The Journal of Immunology, Immunology Letters and Frontiers in Immunology.
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.