Nicolas C. Rochette
- Genetics top 2%
- Molecular Biology
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Plant Science top 10%
- Co-authors
- Julian CatchenAngel G. Rivera‐ColónManolo GouyShane C. Campbell‐StatonCéline Brochier‐ArmanetInbar MaayanRena M. SchweizerKristin M. Winchell
- Topics
- Genomics and Phylogenetic Studies (7 papers)Genetic diversity and population structure (3 papers)RNA and protein synthesis mechanisms (2 papers)
- Cited by
- Ecological ModelingGeneticsEcology
- Partner nations
- United StatesFranceMorocco
In The Last Decade
Nicolas C. Rochette
9 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Genetics 809
- Molecular Biology 525
- Ecology 468
- Ecology, Evolution, Behavior and Systematics 312
- Plant Science 235
Countries citing papers authored by Nicolas C. Rochette
This map shows the geographic impact of Nicolas C. Rochette'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 C. Rochette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas C. Rochette more than expected).
Fields of papers citing papers by Nicolas C. Rochette
This network shows the impact of papers produced by Nicolas C. Rochette. 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 C. Rochette. The network helps show where Nicolas C. Rochette may publish in the future.
Co-authorship network of co-authors of Nicolas C. Rochette
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas C. Rochette. A scholar is included among the top collaborators of Nicolas C. Rochette 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 C. Rochette. Nicolas C. Rochette 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 | 40 | |
| 3 | 1 | |
| 4 | 113 | |
| 5 | 30 | |
| 6 | Stacks 2: Analytical methods for paired‐end sequencing improve RADseq‐based population genomicsbreakdown → | 738 |
| 7 | Deriving genotypes from RAD-seq short-read data using Stacksbreakdown → | 335 |
| 8 | 51 | |
| 9 | 115 |
About Nicolas C. Rochette
Nicolas C. Rochette is a scholar working on Ecological Modeling, Ecology and Genetics, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genetic diversity and population structure (3 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Ecological Modeling (146 citations), Genetics (809 citations) and Ecology (468 citations). Nicolas C. Rochette has collaborated with scholars based in United States, France and Morocco. Frequent co-authors include Julian Catchen, Angel G. Rivera‐Colón, Manolo Gouy, Shane C. Campbell‐Staton, Céline Brochier‐Armanet, Inbar Maayan, Rena M. Schweizer, Kristin M. Winchell, Fanny Pouyet and Nicolas Galtier. Their work appears in journals such as Nature Protocols, Molecular Ecology and Molecular Biology and Evolution.
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.