Maxime Petit

1.3k citations
20 papers · 719 · h-index 12

Impact in

  • Immunology top 10%
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • Eosinophilic Esophagitis

Papers in

    • IL-33, ST2, and ILC Pathways 7
    • Immune Cell Function and Interaction 6
    • Immune cells in cancer 2
    • Single-cell and spatial transcriptomics 2

Maxime Petit

18 papers receiving 712 citations

Peers

Maxime Petit
Comparison fields: 5 of 74
  • Immunology 379
  • Surgery 200
  • Molecular Biology 255
  • Developmental Neuroscience 10
  • Cell Biology 38
Replace Kui Su with:
Kui Su China
Mario Hermann Switzerland
Zhongying Liu China
Sabine Taschner‐Mandl Austria
Lenka Maliskova United States
Alexander M. Tsankov United States
Oscar Persson Sweden
Yaobo Xu United Kingdom
Maxime Petit relative to Kui Su China Kui Su's profile →
Citations per field
00.5×
Kui Su · 1×
Citations per year

Countries citing papers authored by Maxime Petit

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012192
2 2019120
3 201666
4 202259
5 201658
6 201543
7 201438
8 201929
9 201327
10 201822
11 201420
12 202016
13 201911
14
[A case of aphasia with speech disorders by infarction of the left caudate nucleus and putamen].
19876
15 20144
16
Robot Learning Rules of Games by Extraction of Intrinsic Properties
20154
17 20243
18 20241
19 20250
20 20150

About Maxime Petit

Maxime Petit is a scholar working on Immunology, Molecular Biology, Surgery, Social Psychology and Neurology, having authored 20 papers that have together received 719 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (7 papers), Immune Cell Function and Interaction (6 papers), Social Robot Interaction and HRI (3 papers), Single-cell and spatial transcriptomics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Robotics and Automated Systems (2 papers), Eosinophilic Esophagitis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (379 citations), Surgery (200 citations), Molecular Biology (255 citations), Developmental Neuroscience (10 citations) and Cell Biology (38 citations). Maxime Petit has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Rachel Golub, Sylvestre Chea, Ana Cumano, Thibaut Perchet, Peter Ford Dominey, Christian A. J. Vosshenrich, James P. Di Santo, Pierre Savatier, Yann Tapponnier and M. Godet. Their work appears in journals such as Cell Reports, Stem Cell Research, Frontiers in Immunology, International Journal of Molecular Sciences and Immunity.

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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