Benoît Nabholz
Impact in
- Genetics top 0.5%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Ecological Modeling top 2%
- Species Distribution and Climate Change
Papers in
- Genetics 43
- Genetic diversity and population structure 35
- Lepidoptera: Biology and Taxonomy 7
- Evolution and Genetic Dynamics 6
- Co-authors
- Nicolas GaltierSylvain GléminGregory D. D. HurstRémi AllioHans EllegrenJonathan RomiguierStefano DonegàFrédéric Delsuc
In The Last Decade
Benoît Nabholz
52 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Genetics 2.4k
- Ecological Modeling 299
- Ecology, Evolution, Behavior and Systematics 893
- Ecology 1.2k
- Paleontology 329
Countries citing papers authored by Benoît Nabholz
This map shows the geographic impact of Benoît Nabholz'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 Benoît Nabholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Nabholz more than expected).
Fields of papers citing papers by Benoît Nabholz
This network shows the impact of papers produced by Benoît Nabholz. 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 Benoît Nabholz. The network helps show where Benoît Nabholz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benoît Nabholz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 48 | |
| 9 | 2021 | 16 | |
| 10 | MitoFinder: Efficient automated large‐scale extraction of mitogenomic data in target enrichment phylogenomics Hit paper breakdown → | 2020 | 273 |
| 11 | 2016 | 60 | |
| 12 | 2013 | 24 | |
| 13 | 2013 | 124 | |
| 14 | 2013 | 52 | |
| 15 | 2012 | 67 | |
| 16 | 2011 | 5 | |
| 17 | 2011 | 77 | |
| 18 | 2010 | 36 | |
| 19 | Mitochondrial DNA as a marker of molecular diversity: a reappraisal Hit paper breakdown → | 2009 | 836 |
| 20 | 2008 | 24 |
About Benoît Nabholz
Benoît Nabholz is a scholar working on Genetics, Ecological Modeling, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 56 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (35 papers), Genomics and Phylogenetic Studies (33 papers), Mitochondrial Function and Pathology (7 papers), Lepidoptera: Biology and Taxonomy (7 papers), RNA and protein synthesis mechanisms (7 papers), Evolution and Genetic Dynamics (6 papers), Plant and animal studies (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). The work is most often cited by research in Genetics (2.4k citations), Ecological Modeling (299 citations), Ecology, Evolution, Behavior and Systematics (893 citations), Ecology (1.2k citations) and Paleontology (329 citations). Benoît Nabholz has collaborated with scholars based in France, Spain and Sweden. Frequent co-authors include Nicolas Galtier, Sylvain Glémin, Gregory D. D. Hurst, Nicolas Galtier, Rémi Allio, Hans Ellegren, Jonathan Romiguier, Stefano Donegà, Frédéric Delsuc and Francisco Prosdocimi. Their work appears in journals such as Molecular Biology and Evolution, Genome Biology and Evolution, Molecular Ecology, Systematic Entomology and Genome biology.
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.