Gaëtan Chicanne

3.2k citations
57 papers · 2.4k indexed · h-index 28
  • Hematology top 2%
    • Platelet Disorders and Treatments 17
    • Cellular transport and secretion 23
  • Physiology top 2%
    • PI3K/AKT/mTOR signaling in cancer 11
    • Lipid Membrane Structure and Behavior 6
    • Metabolism, Diabetes, and Cancer 5
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 4
    • Autophagy in Disease and Therapy 6
    • Pancreatic function and diabetes 5

Gaëtan Chicanne

56 papers receiving 2.4k citations

Peers

Gaëtan Chicanne
Comparison fields: 5 of 100
  • Hematology 546
  • Cell Biology 743
  • Physiology 131
  • Molecular Biology 1.4k
  • Genetics 212
Replace Frédérique Gaits‐Iacovoni with:
Frédérique Gaits‐Iacovoni France
Sylvie Giuriato France
Mar Fernandez‐Borja Netherlands
Saskia M. Brachmann United States
Giovanni D’Angelo Italy
Mario Gonzalez–Gronow United States
Evan Ingley Australia
Corinne Wendling France
Mikhail A. Nikiforov United States
Ryutaro Shirakawa Japan
Gaëtan Chicanne relative to Frédérique Gaits‐Iacovoni France Frédérique Gaits‐Iacovoni's profile →
Citations per field
00.5×1.5×2.3×
Frédérique Gaits‐Iacovoni · 1×
Citations per year

Countries citing papers authored by Gaëtan Chicanne

Since Specialization
Citations

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

Fields of papers citing papers by Gaëtan Chicanne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20232
3 20238
4 20232
5 20226
6 202119
7 20200
8 202024
9 202011
10 20195
11 201827
12 201722
13 201635
14 20164
15 201572
16 201326
17 201191
18 201121
19 200715
20 2006143

About Gaëtan Chicanne

Gaëtan Chicanne is a scholar working on Hematology, Cell Biology and Physiology, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (23 papers), Platelet Disorders and Treatments (17 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Lipid Membrane Structure and Behavior (6 papers), Autophagy in Disease and Therapy (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (546 citations), Cell Biology (743 citations) and Physiology (131 citations). Gaëtan Chicanne has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bernard Payrastre, Frédérique Gaits‐Iacovoni, Marie‐Pierre Gratacap, Cécile Demur, Hélène Tronchère, Bruno Antonny, V. Delfosse, William Bourguet, Dominique Douguet and Guillaume Drin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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