Jean‐Michel Gibert

932 citations
32 papers · 671 indexed · h-index 17

Jean‐Michel Gibert

30 papers receiving 660 citations

Peers

Jean‐Michel Gibert
Comparison fields: 5 of 64
  • Aging 36
  • Cellular and Molecular Neuroscience 216
  • Ecology, Evolution, Behavior and Systematics 175
  • Genetics 227
  • Insect Science 85
Replace Antonio C.A. Meireles-Filho with:
Antonio C.A. Meireles-Filho Switzerland
Frédérique Peronnet France
Deniz Erezyilmaz United States
Kristen A. Panfilio Germany
Shu‐Dan Yeh United States
Héloïse D. Dufour France
Gregory K. Davis United States
Paul Z. Liu United States
Corinna Hopfen Austria
Taro Nakamura Japan
Jean‐Michel Gibert relative to Antonio C.A. Meireles-Filho Switzerland Antonio C.A. Meireles-Filho's profile →
Citations per field
00.5×1.5×1.9×
Antonio C.A. Meireles-Filho · 1×
Citations per year

Countries citing papers authored by Jean‐Michel Gibert

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Michel Gibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Gibert. 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 Jean‐Michel Gibert. The network helps show where Jean‐Michel Gibert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20220
4 20216
5 20202
6 20185
7 201817
8 20179
9 201720
10 201643
11 201218
12 201110
13 201120
14 2007110
15 200332
16 20025
17 200244
18 200115
19 19997
20 19987

About Jean‐Michel Gibert

Jean‐Michel Gibert is a scholar working on Aging, Cellular and Molecular Neuroscience and Genetics, having authored 32 papers that have together received 671 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Animal Behavior and Reproduction (6 papers), Invertebrate Immune Response Mechanisms (6 papers), Genomics and Chromatin Dynamics (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Crustacean biology and ecology (5 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Aging (36 citations), Cellular and Molecular Neuroscience (216 citations) and Ecology, Evolution, Behavior and Systematics (175 citations). Jean‐Michel Gibert has collaborated with scholars based in France, United Kingdom and Austria. Frequent co-authors include Frédérique Peronnet, Christian Schlötterer, Emmanuèle Mouchel‐Vielh, Patricia Simpson, Jean S. Deutsch, S. De Castro, Éric Quéinnec, François Karch, Sylvain Marcellini and Daniela Pistillo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genetics.

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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