Nicolas C. Rochette

2.5k total citations · 2 hit papers
9 papers, 1.4k citations indexed

About

Nicolas C. Rochette is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Nicolas C. Rochette has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Genetics. Recurrent topics in Nicolas C. Rochette's work include Genomics and Phylogenetic Studies (7 papers), Genetic diversity and population structure (3 papers) and RNA and protein synthesis mechanisms (2 papers). Nicolas C. Rochette is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Genetic diversity and population structure (3 papers) and RNA and protein synthesis mechanisms (2 papers). Nicolas C. Rochette collaborates with scholars based in United States, France and Germany. Nicolas C. Rochette's co-authors include Julian Catchen, Angel G. Rivera‐Colón, Manolo Gouy, Shane C. Campbell‐Staton, Céline Brochier‐Armanet, Inbar Maayan, Kristin M. Winchell, Rena M. Schweizer, Thomas Bigot and Fanny Pouyet and has published in prestigious journals such as Nature Protocols, Molecular Ecology and Molecular Biology and Evolution.

In The Last Decade

Nicolas C. Rochette

9 papers receiving 1.4k citations

Hit Papers

Stacks 2: Analytical meth... 2017 2026 2020 2023 2019 2017 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas C. Rochette United States 8 809 525 468 312 235 9 1.4k
Emiliano Trucchi Italy 21 718 0.9× 360 0.7× 459 1.0× 389 1.2× 259 1.1× 57 1.4k
Vincent Dubut France 18 946 1.2× 565 1.1× 518 1.1× 309 1.0× 251 1.1× 38 1.6k
Jordan D. Satler United States 10 789 1.0× 434 0.8× 396 0.8× 503 1.6× 213 0.9× 17 1.5k
Claire Mérot Canada 19 1.0k 1.3× 537 1.0× 327 0.7× 398 1.3× 288 1.2× 36 1.5k
Mark Ravinet Norway 19 1.2k 1.5× 436 0.8× 511 1.1× 404 1.3× 223 0.9× 48 1.8k
Paulette Bloomer South Africa 26 783 1.0× 369 0.7× 813 1.7× 397 1.3× 247 1.1× 87 1.9k
Tara A. Pelletier United States 12 630 0.8× 361 0.7× 412 0.9× 446 1.4× 156 0.7× 23 1.3k
Milan Malinsky Switzerland 12 1.2k 1.4× 670 1.3× 438 0.9× 442 1.4× 330 1.4× 22 1.9k
Julian R. Dupuis United States 15 709 0.9× 342 0.7× 420 0.9× 405 1.3× 207 0.9× 53 1.2k
Robert DeSalle United States 16 566 0.7× 560 1.1× 448 1.0× 387 1.2× 213 0.9× 27 1.4k

Countries citing papers authored by Nicolas C. Rochette

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

9 of 9 papers shown
1.
Rochette, Nicolas C., et al.. (2023). On the causes, consequences, and avoidance of PCR duplicates: Towards a theory of library complexity. Molecular Ecology Resources. 23(6). 1299–1318. 20 indexed citations
2.
Cerca, José, et al.. (2021). Removing the bad apples: A simple bioinformatic method to improve loci‐recovery in de novo RADseq data for non‐model organisms. Methods in Ecology and Evolution. 12(5). 805–817. 40 indexed citations
4.
Rivera‐Colón, Angel G., Nicolas C. Rochette, & Julian Catchen. (2020). Simulation with RADinitio improves RADseq experimental design and sheds light on sources of missing data. Molecular Ecology Resources. 21(2). 363–378. 30 indexed citations
5.
Campbell‐Staton, Shane C., Kristin M. Winchell, Nicolas C. Rochette, et al.. (2020). Parallel selection on thermal physiology facilitates repeated adaptation of city lizards to urban heat islands. Nature Ecology & Evolution. 4(4). 652–658. 113 indexed citations
6.
Rochette, Nicolas C., Angel G. Rivera‐Colón, & Julian Catchen. (2019). Stacks 2: Analytical methods for paired‐end sequencing improve RADseq‐based population genomics. Molecular Ecology. 28(21). 4737–4754. 738 indexed citations breakdown →
7.
Rochette, Nicolas C. & Julian Catchen. (2017). Deriving genotypes from RAD-seq short-read data using Stacks. Nature Protocols. 12(12). 2640–2659. 335 indexed citations breakdown →
8.
Rochette, Nicolas C., Céline Brochier‐Armanet, & Manolo Gouy. (2014). Phylogenomic Test of the Hypotheses for the Evolutionary Origin of Eukaryotes. Molecular Biology and Evolution. 31(4). 832–845. 51 indexed citations
9.
Guéguen, Laurent, Sylvain Gaillard, Bastien Boussau, et al.. (2013). Bio++: Efficient Extensible Libraries and Tools for Computational Molecular Evolution. Molecular Biology and Evolution. 30(8). 1745–1750. 115 indexed citations

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.

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