Jean‐René Martin
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Genetics top 5%
- Electrical and Electronic Engineering top 10%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Yesser Hadj BelgacemMartin HeisenbergÉliane SouteyrandJean‐Pierre CloarecRoman ErnstM. F. LawrenceI. LawrenceThomas Raabe
- Topics
- Neurobiology and Insect Physiology Research (29 papers)Animal Behavior and Reproduction (11 papers)Insect and Arachnid Ecology and Behavior (11 papers)
- Partner nations
- FranceUnited StatesUkraine
In The Last Decade
Jean‐René Martin
59 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 127
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 836
- Genetics 609
- Electrical and Electronic Engineering 424
- Ecology, Evolution, Behavior and Systematics 415
Countries citing papers authored by Jean‐René Martin
This map shows the geographic impact of Jean‐René Martin'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‐René Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐René Martin more than expected).
Fields of papers citing papers by Jean‐René Martin
This network shows the impact of papers produced by Jean‐René Martin. 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‐René Martin. The network helps show where Jean‐René Martin may publish in the future.
Co-authorship network of co-authors of Jean‐René Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐René Martin. A scholar is included among the top collaborators of Jean‐René Martin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐René Martin. Jean‐René Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 18 | |
| 4 | 11 | |
| 5 | 23 | |
| 6 | 10 | |
| 7 | 30 | |
| 8 | 16 | |
| 9 | 60 | |
| 10 | 0 | |
| 11 | 40 | |
| 12 | 81 | |
| 13 | 67 | |
| 14 | 132 | |
| 15 | 174 | |
| 16 | 57 | |
| 17 | 46 | |
| 18 | 15 | |
| 19 | 156 | |
| 20 | 1 |
About Jean‐René Martin
Jean‐René Martin is a scholar working on Cellular and Molecular Neuroscience, Bioengineering and Sensory Systems, having authored 60 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (29 papers), Animal Behavior and Reproduction (11 papers) and Insect and Arachnid Ecology and Behavior (11 papers). The work is most often cited by research in Aging (167 citations), Cellular and Molecular Neuroscience (1.4k citations) and Bioengineering (332 citations). Jean‐René Martin has collaborated with scholars based in France, United States and Ukraine. Frequent co-authors include Yesser Hadj Belgacem, Martin Heisenberg, Éliane Souteyrand, Jean‐Pierre Cloarec, Roman Ernst, M. F. Lawrence, I. Lawrence, Thomas Raabe, P. Cléchet and Carey Wilson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.