Simon Aeschbacher
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Forensic and Genetic Research
- Archeology top 5%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
- Genetics 9
- Genetic diversity and population structure 8
- Evolution and Genetic Dynamics 4
- Forensic and Genetic Research 3
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- Genomics and Phylogenetic Studies 3
- Co-authors
- Graham Coop (2 shared papers)Ivan Jurić (1 shared paper)Reinhard Bürger (2 shared papers)Mark Beaumont (2 shared papers)Andreas Futschik (2 shared papers)Laurent Excoffier (1 shared paper)Fanny Pouyet (1 shared paper)John H. Willis (1 shared paper)
- Journals
- Genetics (2 papers)Molecular Ecology (2 papers)PLoS Genetics (2 papers)Current Biology (1 paper)Forensic Science International Genetics (1 paper)
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Simon Aeschbacher
12 papers receiving 551 citations
Simon Aeschbacher's Hit Papers
Peers
Comparison fields: 5 of 68
- Genetics 430
- Archeology 54
- Anthropology 51
- Paleontology 26
- Ecology, Evolution, Behavior and Systematics 64
Countries citing papers authored by Simon Aeschbacher
This map shows the geographic impact of Simon Aeschbacher'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 Simon Aeschbacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Aeschbacher more than expected).
Fields of papers citing papers by Simon Aeschbacher
This network shows the impact of papers produced by Simon Aeschbacher. 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 Simon Aeschbacher. The network helps show where Simon Aeschbacher may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Aeschbacher, 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 | The Strength of Selection against Neanderthal Introgression Hit paper breakdown → | 2016 | 183 |
| 2 | 2018 | 88 | |
| 3 | 2017 | 83 | |
| 4 | 2012 | 64 | |
| 5 | 2016 | 54 | |
| 6 | 2014 | 39 | |
| 7 | 2023 | 18 | |
| 8 | 2013 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 |
About Simon Aeschbacher
Simon Aeschbacher is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Plant Science and Paleontology, having authored 12 papers that have together received 557 indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Evolution and Genetic Dynamics (4 papers), Forensic and Genetic Research (3 papers), Genomics and Phylogenetic Studies (3 papers), Chromosomal and Genetic Variations (2 papers), Bayesian Methods and Mixture Models (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Genetics (430 citations), Archeology (54 citations), Anthropology (51 citations), Paleontology (26 citations) and Ecology, Evolution, Behavior and Systematics (64 citations). Simon Aeschbacher has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Graham Coop, Ivan Jurić, Reinhard Bürger, Mark Beaumont, Andreas Futschik, Laurent Excoffier, Fanny Pouyet, John H. Willis, Sam Yeaman and Konrad Lohse. Their work appears in journals such as Genetics, Molecular Ecology, PLoS Genetics, Current Biology and Forensic Science International Genetics.
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.