Laurent Ségalat
- Molecular Biology top 5%
- Aging top 0.1%
- Endocrine and Autonomic Systems top 1%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Co-authors
- Joshua M. KaplanJean GiacomottoKathrin GieselerStephen NurrishMarie‐Christine MariolMaïté Carre-PierratEdwige MartinMaëlle Jospin
- Topics
- Genetics, Aging, and Longevity in Model Organisms (50 papers)Muscle Physiology and Disorders (26 papers)Circadian rhythm and melatonin (8 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Laurent Ségalat
58 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.5k
- Aging 1.3k
- Endocrine and Autonomic Systems 445
- Cellular and Molecular Neuroscience 428
- Physiology 374
Countries citing papers authored by Laurent Ségalat
This map shows the geographic impact of Laurent Ségalat'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 Laurent Ségalat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Ségalat more than expected).
Fields of papers citing papers by Laurent Ségalat
This network shows the impact of papers produced by Laurent Ségalat. 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 Laurent Ségalat. The network helps show where Laurent Ségalat may publish in the future.
Co-authorship network of co-authors of Laurent Ségalat
This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Ségalat. A scholar is included among the top collaborators of Laurent Ségalat 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 Laurent Ségalat. Laurent Ségalat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 83 | |
| 3 | 21 | |
| 4 | 87 | |
| 5 | 24 | |
| 6 | 12 | |
| 7 | 40 | |
| 8 | 65 | |
| 9 | 15 | |
| 10 | Patterns of selection against transposons inferred from the distribution of Tc1, Tc3 and Tc5 insertions in the mut-7 line of the nematode Caenorhabditis elegans. | 1 |
| 11 | 4 | |
| 12 | 32 | |
| 13 | Caenorhabditis elegans : Un organisme modèle en biologie | 2 |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 26 | |
| 17 | 48 | |
| 18 | 48 | |
| 19 | 31 | |
| 20 | 106 |
About Laurent Ségalat
Laurent Ségalat is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (50 papers), Muscle Physiology and Disorders (26 papers) and Circadian rhythm and melatonin (8 papers). The work is most often cited by research in Aging (1.3k citations), Endocrine and Autonomic Systems (445 citations) and Cellular and Molecular Neuroscience (428 citations). Laurent Ségalat has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Joshua M. Kaplan, Jean Giacomotto, Kathrin Gieseler, Stephen Nurrish, Marie‐Christine Mariol, Maïté Carre-Pierrat, Edwige Martin, Maëlle Jospin, Bruno Allard and Christopher J. Franks. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.