Alexandre Pachot

4.8k citations
68 papers · 2.9k · h-index 29

Impact in

  • Immunology top 2%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Inflammation biomarkers and pathways
    • T-cell and B-cell Immunology
    • Intensive Care Unit Cognitive Disorders

Papers in

    • Immune Response and Inflammation 18
    • Immune Cell Function and Interaction 4
    • Galectins and Cancer Biology 3
    • T-cell and B-cell Immunology 3
    • Sepsis Diagnosis and Treatment 16

Alexandre Pachot

67 papers receiving 2.9k citations

Peers

Alexandre Pachot
Comparison fields: 5 of 108
  • Immunology 1.2k
  • Critical Care and Intensive Care Medicine 220
  • Epidemiology 972
  • Infectious Diseases 241
  • Neurology 90
Replace Markus Bosmann with:
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Citations per field
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Citations per year

Countries citing papers authored by Alexandre Pachot

Since Specialization
Citations

This map shows the geographic impact of Alexandre Pachot'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 Alexandre Pachot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Pachot more than expected).

Fields of papers citing papers by Alexandre Pachot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre Pachot. 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 Alexandre Pachot. The network helps show where Alexandre Pachot may publish in the future.

Co-authors

The 25 scholars most cited alongside Alexandre Pachot, 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 Alexandre Pachot Line = papers co-authored together Alexandre Pachot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014282
2 2008249
3 2014181
4 2004153
5 2007125
6 2006124
7 2008111
8 202094
9 200893
10 201483
11 200478
12 200478
13 200569
14 200669
15 201360
16 201457
17 201855
18 201053
19 200053
20 200346

About Alexandre Pachot

Alexandre Pachot is a scholar working on Immunology, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 68 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (18 papers), Sepsis Diagnosis and Treatment (16 papers), S100 Proteins and Annexins (6 papers), Immune Cell Function and Interaction (4 papers), Galectins and Cancer Biology (3 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (1.2k citations), Critical Care and Intensive Care Medicine (220 citations), Epidemiology (972 citations), Infectious Diseases (241 citations) and Neurology (90 citations). Alexandre Pachot has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Guillaume Monneret, Fabienne Venet, Alain Lepape, Jacques Bienvenu, Bruno Mougin, Anne‐Lise Debard, Marie-Angélique Cazalis, Pierre Miossec, Julien Textoris and Julien Bohé. Their work appears in journals such as PLoS ONE, Critical Care, Critical Care Medicine, Frontiers in Immunology and The Journal of 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.

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