Pierre Grenot

1.3k citations
23 papers · 1.0k · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunodeficiency and Autoimmune Disorders 3
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Pierre Grenot

22 papers receiving 1.0k citations

Peers

Pierre Grenot
Comparison fields: 5 of 83
  • Immunology 582
  • Genetics 126
  • Pathology and Forensic Medicine 185
  • Oncology 211
  • Neurology 66
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Citations per field
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Citations per year

Countries citing papers authored by Pierre Grenot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pierre Grenot Line = papers co-authored together Pierre Grenot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010274
2 2016174
3 2006160
4 200970
5 200061
6 201858
7 201252
8 201643
9 201333
10 200323
11 199622
12 201620
13
T lymphocyte subsets in primary antiphospholipid syndrome.
199414
14 199711
15 20227
16 19997
17
[Deficiency of the CD3-TCR signal pathway in three patients with idiopathic CD4+ lymphocytopenia].
19997
18 20066
19 20244
20
Les principes de la cytométrie en flux
20201

About Pierre Grenot

Pierre Grenot is a scholar working on Immunology, Neurology, Genetics, Virology and Pathology and Forensic Medicine, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Immunology (582 citations), Genetics (126 citations), Pathology and Forensic Medicine (185 citations), Oncology (211 citations) and Neurology (66 citations). Pierre Grenot has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Bernard Malissen, Béatrice de Bovis, Lena Alexopoulou, Samira Tamoutounour, Martin Guilliams, Karine Crozat, Marc Dalod, Sandrine Henri, Élisabeth Devilard and Pascal Gauduchon. Their work appears in journals such as Cytometry, Blood, The Journal of Experimental Medicine, Scientific Reports and AIDS.

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.

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