Pierre Grenot
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Immunology 11
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immunodeficiency and Autoimmune Disorders 3
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- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Bernard MALISSEN (3 shared papers)Lena Alexopoulou (1 shared paper)Marc Dalod (1 shared paper)Élisabeth Devilard (1 shared paper)Samira Tamoutounour (1 shared paper)Karine Crozat (1 shared paper)Sandrine Henri (1 shared paper)Béatrice de Bovis (1 shared paper)
In The Last Decade
Pierre Grenot
19 papers receiving 780 citations
Peers
Comparison fields: 5 of 77
- Immunology 400
- Genetics 110
- Pathology and Forensic Medicine 160
- Neurology 63
- Oncology 161
Countries citing papers authored by Pierre Grenot
This map shows the geographic impact of Pierre Grenot'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 Pierre Grenot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Grenot more than expected).
Fields of papers citing papers by Pierre Grenot
This network shows the impact of papers produced by Pierre Grenot. 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 Pierre Grenot. The network helps show where Pierre Grenot may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Grenot, 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 | 2010 | 265 | |
| 2 | 2006 | 130 | |
| 3 | 2009 | 66 | |
| 4 | 2000 | 55 | |
| 5 | 2018 | 53 | |
| 6 | 2012 | 49 | |
| 7 | 2016 | 39 | |
| 8 | 2013 | 30 | |
| 9 | 2003 | 21 | |
| 10 | 1996 | 20 | |
| 11 | 2016 | 19 | |
| 12 | T lymphocyte subsets in primary antiphospholipid syndrome. | 1994 | 13 |
| 13 | 1997 | 11 | |
| 14 | 2022 | 8 | |
| 15 | [Deficiency of the CD3-TCR signal pathway in three patients with idiopathic CD4+ lymphocytopenia]. | 1999 | 5 |
| 16 | 2006 | 4 | |
| 17 | 1999 | 4 | |
| 18 | 2008 | 1 | |
| 19 | 1997 | 1 |
About Pierre Grenot
Pierre Grenot is a scholar working on Immunology, Epidemiology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 19 papers that have together received 794 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Immunology (400 citations), Genetics (110 citations), Pathology and Forensic Medicine (160 citations), Neurology (63 citations) and Oncology (161 citations). Pierre Grenot has collaborated with scholars based in France, Germany and Morocco. Frequent co-authors include Bernard MALISSEN, Lena Alexopoulou, Marc Dalod, Élisabeth Devilard, Samira Tamoutounour, Karine Crozat, Sandrine Henri, Béatrice de Bovis, Martin Guilliams and Jean‐Marc Navarro. Their work appears in journals such as Cytometry, Blood, Scientific Reports, AIDS and The Journal of Experimental 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.