Pierre Taberlet
Impact in
- Ecological Modeling top 0.02%
- Species Distribution and Climate Change
- Ecology top 0.01%
- Environmental DNA in Biodiversity Studies
- Wildlife Ecology and Conservation
- Microbial Community Ecology and Physiology
Papers in
- Co-authors
- François Pompanon (34 shared papers)Ludovic Gielly (57 shared papers)Éric Coissac (82 shared papers)Gordon Luikart (26 shared papers)Jean Bouvet (8 shared papers)Guy Pautou (1 shared paper)Eva Bellemain (23 shared papers)Christian Brochmann (20 shared papers)
- Journals
- Molecular Ecology (57 papers)Environmental DNA (17 papers)Molecular Ecology Resources (17 papers)PLoS ONE (14 papers)Scientific Reports (8 papers)
- Partner nations
- FranceNorwaySwitzerland
In The Last Decade
Pierre Taberlet
312 papers receiving 48.6k citations
Pierre Taberlet's Hit Papers
Peers
Comparison fields: 5 of 190
- Ecological Modeling 5.5k
- Ecology 27.5k
- Genetics 18.9k
- Ecology, Evolution, Behavior and Systematics 11.6k
- Nature and Landscape Conservation 5.5k
Countries citing papers authored by Pierre Taberlet
This map shows the geographic impact of Pierre Taberlet'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 Pierre Taberlet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Taberlet more than expected).
Fields of papers citing papers by Pierre Taberlet
This network shows the impact of papers produced by Pierre Taberlet. 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 Pierre Taberlet. The network helps show where Pierre Taberlet may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Taberlet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 321 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Universal primers for amplification of three non-coding regions of chloroplast DNA Hit paper breakdown → | 1991 | 5048 |
| 2 | Comparative phylogeography and postglacial colonization routes in Europe Hit paper breakdown → | 1998 | 2649 |
| 3 | Landscape genetics: combining landscape ecology and population genetics Hit paper breakdown → | 2003 | 1944 |
| 4 | Towards next‐generation biodiversity assessment using DNA metabarcoding Hit paper breakdown → | 2012 | 1378 |
| 5 | Species detection using environmental DNA from water samples Hit paper breakdown → | 2008 | 1324 |
| 6 | Reliable genotyping of samples with very low DNA quantities using PCR Hit paper breakdown → | 1996 | 1266 |
| 7 | How to track and assess genotyping errors in population genetics studies Hit paper breakdown → | 2004 | 1203 |
| 8 | Estimating the probability of identity among genotypes in natural populations: cautions and guidelines Hit paper breakdown → | 2001 | 1173 |
| 9 | The power and promise of population genomics: from genotyping to genome typing Hit paper breakdown → | 2003 | 1101 |
| 10 | Who is eating what: diet assessment using next generation sequencing Hit paper breakdown → | 2011 | 1005 |
| 11 | Genotyping errors: causes, consequences and solutions Hit paper breakdown → | 2005 | 961 |
| 12 | Power and limitations of the chloroplast trnL (UAA) intron for plant DNA barcoding Hit paper breakdown → | 2006 | 924 |
| 13 | ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases Hit paper breakdown → | 2010 | 908 |
| 14 | Noninvasive genetic sampling: look before you leap Hit paper breakdown → | 1999 | 876 |
| 15 | 2015 | 860 | |
| 16 | DNA barcoding for ecologists Hit paper breakdown → | 2008 | 848 |
| 17 | Critical considerations for the application of environmental Hit paper breakdown → | 2016 | 793 |
| 18 | Environmental DNA Hit paper breakdown → | 2018 | 719 |
| 19 | Non-invasive genetic sampling and individual identification Hit paper breakdown → | 1999 | 663 |
| 20 | Replication levels, false presences and the estimation of the presence/absence from Hit paper breakdown → | 2014 | 546 |
About Pierre Taberlet
Pierre Taberlet is a scholar working on Ecology, Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling, having authored 321 papers that have together received 51.9k indexed citations. Recurring topics across this work include Environmental DNA in Biodiversity Studies (123 papers), Genetic diversity and population structure (122 papers), Wildlife Ecology and Conservation (68 papers), Genetic and phenotypic traits in livestock (57 papers), Identification and Quantification in Food (54 papers), Microbial Community Ecology and Physiology (52 papers), Genomics and Phylogenetic Studies (45 papers) and Species Distribution and Climate Change (45 papers). The work is most often cited by research in Ecological Modeling (5.5k citations), Ecology (27.5k citations), Genetics (18.9k citations), Ecology, Evolution, Behavior and Systematics (11.6k citations) and Nature and Landscape Conservation (5.5k citations). Pierre Taberlet has collaborated with scholars based in France, Norway and Switzerland. Frequent co-authors include François Pompanon, Ludovic Gielly, Éric Coissac, Gordon Luikart, Jean Bouvet, Guy Pautou, Eva Bellemain, Christian Brochmann, Luca Fumagalli and Aurélie Bonin. Their work appears in journals such as Molecular Ecology, Environmental DNA, Molecular Ecology Resources, PLoS ONE and Scientific Reports.
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.