Nathaniel Valière

1.7k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Nathaniel Valière is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Nathaniel Valière has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Ecology and 2 papers in Molecular Biology. Recurrent topics in Nathaniel Valière's work include Genetic diversity and population structure (4 papers), Wildlife Ecology and Conservation (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Nathaniel Valière is often cited by papers focused on Genetic diversity and population structure (4 papers), Wildlife Ecology and Conservation (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Nathaniel Valière collaborates with scholars based in France and Switzerland. Nathaniel Valière's co-authors include Pierre Taberlet, Éric Petit, Dominique Pontier, Dominique Mouchiroud, Benoît Lequette, Luca Fumagalli, Ludovic Gielly, Marie‐Lazarine Poulle, Jean‐Marc Weber and Raphaël Arlettaz and has published in prestigious journals such as Conservation Biology, Molecular Ecology and Animal Conservation.

In The Last Decade

Nathaniel Valière

8 papers receiving 1.3k citations

Hit Papers

gimlet: a computer program for analysing genetic individu... 2002 2026 2010 2018 2002 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
Nathaniel Valière France 7 1.1k 945 239 159 136 8 1.4k
Steven R. Fain United States 17 727 0.7× 582 0.6× 290 1.2× 128 0.8× 102 0.8× 31 1.1k
Eli Knispel Rueness Norway 18 696 0.6× 538 0.6× 210 0.9× 155 1.0× 92 0.7× 26 1.1k
Günther B. Hartl Germany 23 914 0.8× 868 0.9× 158 0.7× 159 1.0× 64 0.5× 49 1.3k
Anne Ropiquet France 18 742 0.7× 906 1.0× 560 2.3× 248 1.6× 94 0.7× 28 1.6k
Vadim E. Sidorovich Belarus 21 1.2k 1.2× 814 0.9× 134 0.6× 148 0.9× 159 1.2× 34 1.6k
Marty Kardos United States 19 657 0.6× 1.5k 1.5× 382 1.6× 265 1.7× 259 1.9× 37 1.8k
Nadia Mucci Italy 21 921 0.9× 870 0.9× 312 1.3× 159 1.0× 132 1.0× 65 1.4k
Jennifer A. Fike United States 18 725 0.7× 620 0.7× 306 1.3× 152 1.0× 153 1.1× 59 1.1k
Michael Burden United Kingdom 4 635 0.6× 887 0.9× 199 0.8× 209 1.3× 332 2.4× 21 1.3k
Margaret E. Montgomery Australia 13 407 0.4× 731 0.8× 124 0.5× 255 1.6× 256 1.9× 15 1.1k

Countries citing papers authored by Nathaniel Valière

Since Specialization
Citations

This map shows the geographic impact of Nathaniel Valière'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 Nathaniel Valière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Valière more than expected).

Fields of papers citing papers by Nathaniel Valière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel Valière. 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 Nathaniel Valière. The network helps show where Nathaniel Valière may publish in the future.

Co-authorship network of co-authors of Nathaniel Valière

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel Valière. A scholar is included among the top collaborators of Nathaniel Valière 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 Nathaniel Valière. Nathaniel Valière is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Petit, Éric & Nathaniel Valière. (2006). Estimating Population Size with Noninvasive Capture‐Mark‐Recapture Data. Conservation Biology. 20(4). 1062–1073. 108 indexed citations
2.
Valière, Nathaniel, Christophe Bonenfant, Carole Toïgo, et al.. (2006). Importance of a pilot study for non-invasive genetic sampling: genotyping errors and population size estimation in red deer. Conservation Genetics. 8(1). 69–78. 68 indexed citations
3.
Valière, Nathaniel, Luca Fumagalli, Ludovic Gielly, et al.. (2003). Long‐distance wolf recolonization of France and Switzerland inferred from non‐invasive genetic sampling over a period of 10 years. Animal Conservation. 6(1). 83–92. 157 indexed citations
4.
Valière, Nathaniel. (2002). gimlet: a computer program for analysing genetic individual identification data. Molecular Ecology Notes. 2(3). 377–379. 122 indexed citations
5.
Valière, Nathaniel. (2002). gimlet: a computer program for analysing genetic individual identification data. Molecular Ecology Notes. 2(3). 377–379. 728 indexed citations breakdown →
6.
Valière, Nathaniel, et al.. (2002). gemini: software for testing the effects of genotyping errors and multitubes approach for individual identification. Molecular Ecology Notes. 2(1). 83–86. 127 indexed citations
7.
Valière, Nathaniel & Pierre Taberlet. (2000). Urine collected in the field as a source of DNA for species and individual identification. Molecular Ecology. 9(12). 2150–2152. 74 indexed citations
8.
Valière, Nathaniel & Pierre Taberlet. (2000). Urine collected in the field as a source of DNA for species and individual identification. Molecular Ecology. 9(12). 2150–2152. 5 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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