Philippe Mennecier
Impact in
- Archeology top 2%
- Forensic Anthropology and Bioarchaeology Studies
- Paleopathology and ancient diseases
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology
Papers in
- Genetics 4
- Forensic and Genetic Research 3
- Genetic diversity and population structure 2
- Genetic and phenotypic traits in livestock 1
-
- Natural Language Processing Techniques 1
- Co-authors
- Göran Possnert (1 shared paper)M. Chech (1 shared paper)Maria Teschler‐Nicola (1 shared paper)David Serre (1 shared paper)Svante Pääbo (1 shared paper)Maja Paunović (1 shared paper)Michael Hofreiter (1 shared paper)André Langaney (1 shared paper)
- Journals
- Scientific Reports (2 papers)PLoS Biology (1 paper)Journal of Cardiovascular Pharmacology (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)American Journal of Physical Anthropology (1 paper)
- Partner nations
- FranceUzbekistanSweden
In The Last Decade
Philippe Mennecier
9 papers receiving 335 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Archeology 157
- Anthropology 143
- Paleontology 106
- Genetics 182
- Archeology 5
Countries citing papers authored by Philippe Mennecier
This map shows the geographic impact of Philippe Mennecier'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 Philippe Mennecier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Mennecier more than expected).
Fields of papers citing papers by Philippe Mennecier
This network shows the impact of papers produced by Philippe Mennecier. 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 Philippe Mennecier. The network helps show where Philippe Mennecier may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Mennecier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | No Evidence of Neandertal mtDNA Contribution to Early Modern Humans Hit paper breakdown → | 2004 | 245 |
| 2 | 2017 | 24 | |
| 3 | 2010 | 23 | |
| 4 | 2016 | 18 | |
| 5 | 2018 | 16 | |
| 6 | 2017 | 10 | |
| 7 | 1993 | 8 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2005 | 0 |
About Philippe Mennecier
Philippe Mennecier is a scholar working on Genetics, Artificial Intelligence, Experimental and Cognitive Psychology, Cultural Studies and Archeology, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include Forensic and Genetic Research (3 papers), Evolutionary Psychology and Human Behavior (2 papers), Language and cultural evolution (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers), Genetic diversity and population structure (2 papers), Animal Vocal Communication and Behavior (1 paper), Natural Language Processing Techniques (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Archeology (157 citations), Anthropology (143 citations), Paleontology (106 citations), Genetics (182 citations) and Archeology (5 citations). Philippe Mennecier has collaborated with scholars based in France, Uzbekistan and Sweden. Frequent co-authors include Göran Possnert, M. Chech, Maria Teschler‐Nicola, David Serre, Svante Pääbo, Maja Paunović, Michael Hofreiter, André Langaney, Évelyne Heyer and Franz Manni. Their work appears in journals such as Scientific Reports, PLoS Biology, Journal of Cardiovascular Pharmacology, Proceedings of the Royal Society B Biological Sciences and American Journal of Physical Anthropology.
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.