Fabien Garçon

1.8k citations
21 papers · 821 · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • Glycosylation and Glycoproteins Research 3

Fabien Garçon

20 papers receiving 815 citations

Peers

Fabien Garçon
Comparison fields: 5 of 59
  • Immunology 540
  • Genetics 186
  • Oncology 227
  • Molecular Biology 395
  • Hematology 62
Replace Matthew H. Cato with:
Matthew H. Cato United States
Antonella Vallario Italy
David J. Rawlings United States
Nadja Zaborsky Austria
Evelina Martinenaite Denmark
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Thomas Wossning Germany
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Citations per field
00.5×1.5×1.9×
Matthew H. Cato · 1×
Citations per year

Countries citing papers authored by Fabien Garçon

Since Specialization
Citations

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

Fields of papers citing papers by Fabien Garçon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006168
2 2010158
3 2007126
4 2004103
5 200966
6 200333
7 201231
8 202029
9 200722
10 200420
11 201617
12 202215
13 200412
14 20189
15 20197
16 20071
17 20231
18 20241
19 20191
20 20211

About Fabien Garçon

Fabien Garçon is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 821 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Immunology (540 citations), Genetics (186 citations), Oncology (227 citations), Molecular Biology (395 citations) and Hematology (62 citations). Fabien Garçon has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Klaus Okkenhaug, Daniel T. Patton, Bart Vanhaesebroeck, Antonio Bilancio, Wendy C. Rowan, Faruk Ramadani, Anne E. Corcoran, Daniel J. Bolland, Jacques A. Nunès and Takehiko Sasaki. Their work appears in journals such as The Journal of Immunology, Cancer Research, Frontiers in Immunology, Science Signaling and Proceedings of the National Academy of Sciences.

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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