Nicolas Lugon‐Moulin
- Genetics top 2%
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Plant Science top 5%
- Molecular Biology
- Co-authors
- François BallouxH. BrünnerJacques HausserJérôme GoudetLuca RossiJean HausserFlorian MartinMarc R. Krauss
- Topics
- Genetic diversity and population structure (10 papers)Genetic and phenotypic traits in livestock (6 papers)Bat Biology and Ecology Studies (6 papers)
- Partner nations
- SwitzerlandIndiaUnited States
In The Last Decade
Nicolas Lugon‐Moulin
19 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 1.1k
- Ecology 515
- Ecology, Evolution, Behavior and Systematics 402
- Plant Science 387
- Molecular Biology 276
Countries citing papers authored by Nicolas Lugon‐Moulin
This map shows the geographic impact of Nicolas Lugon‐Moulin'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 Nicolas Lugon‐Moulin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Lugon‐Moulin more than expected).
Fields of papers citing papers by Nicolas Lugon‐Moulin
This network shows the impact of papers produced by Nicolas Lugon‐Moulin. 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 Nicolas Lugon‐Moulin. The network helps show where Nicolas Lugon‐Moulin may publish in the future.
Co-authorship network of co-authors of Nicolas Lugon‐Moulin
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Lugon‐Moulin. A scholar is included among the top collaborators of Nicolas Lugon‐Moulin 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 Nicolas Lugon‐Moulin. Nicolas Lugon‐Moulin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 16 | |
| 3 | 11 | |
| 4 | 55 | |
| 5 | 38 | |
| 6 | 32 | |
| 7 | 96 | |
| 8 | 70 | |
| 9 | 8 | |
| 10 | 32 | |
| 11 | The estimation of population differentiation with microsatellite markersbreakdown → | 935 |
| 12 | 54 | |
| 13 | 59 | |
| 14 | 251 | |
| 15 | 28 | |
| 16 | 20 | |
| 17 | 21 | |
| 18 | 50 | |
| 19 | 64 |
About Nicolas Lugon‐Moulin
Nicolas Lugon‐Moulin is a scholar working on Pollution, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (10 papers), Genetic and phenotypic traits in livestock (6 papers) and Bat Biology and Ecology Studies (6 papers). The work is most often cited by research in Genetics (1.1k citations), Nature and Landscape Conservation (257 citations) and Ecology, Evolution, Behavior and Systematics (402 citations). Nicolas Lugon‐Moulin has collaborated with scholars based in Switzerland, India and United States. Frequent co-authors include François Balloux, H. Brünner, Jacques Hausser, Jérôme Goudet, Luca Rossi, Jean Hausser, Florian Martin, Marc R. Krauss, Catherine Keller and L. P. Ryan. Their work appears in journals such as Evolution, Chemosphere and Molecular Ecology.
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.