Marc Pybus
Impact in
- Genetics top 2%
- Genetic diversity and population structure
- Forensic and Genetic Research
- Paleontology top 5%
Papers in
- Genetics 16
- Genetic Associations and Epidemiology 5
- Genetic diversity and population structure 4
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- Renal Diseases and Glomerulopathies 3
- Co-authors
- Jaume Bertranpetit (12 shared papers)Hafid Laayouni (6 shared papers)Pierre Luisi (5 shared papers)Giovanni Marco Dall’Olio (3 shared papers)Johannes Engelken (3 shared papers)Ferrán Casals (3 shared papers)David Comas (4 shared papers)Elisabet Ars (9 shared papers)
- Journals
- Nephrology Dialysis Transplantation (3 papers)Current Biology (3 papers)Immunity (2 papers)Bioinformatics (2 papers)Clinical Kidney Journal (2 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Marc Pybus
39 papers receiving 2.3k citations
Marc Pybus's Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 944
- Paleontology 176
- Developmental Biology 43
- Immunology and Allergy 99
- Social Psychology 340
Countries citing papers authored by Marc Pybus
This map shows the geographic impact of Marc Pybus'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 Marc Pybus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Pybus more than expected).
Fields of papers citing papers by Marc Pybus
This network shows the impact of papers produced by Marc Pybus. 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 Marc Pybus. The network helps show where Marc Pybus may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Pybus, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Great ape genetic diversity and population history Hit paper breakdown → | 2013 | 628 |
| 2 | 2017 | 230 | |
| 3 | 2017 | 157 | |
| 4 | 2012 | 133 | |
| 5 | 2020 | 119 | |
| 6 | 2013 | 113 | |
| 7 | 2016 | 111 | |
| 8 | 2018 | 81 | |
| 9 | 2021 | 75 | |
| 10 | 2021 | 73 | |
| 11 | 2015 | 66 | |
| 12 | 2014 | 63 | |
| 13 | 2016 | 54 | |
| 14 | 2017 | 54 | |
| 15 | 2015 | 50 | |
| 16 | 2017 | 48 | |
| 17 | 2015 | 42 | |
| 18 | 2014 | 34 | |
| 19 | 2022 | 28 | |
| 20 | 2011 | 20 |
About Marc Pybus
Marc Pybus is a scholar working on Genetics, Nephrology, Immunology, Social Psychology and Reproductive Medicine, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (5 papers), Genetic Associations and Epidemiology (5 papers), Immune Cell Function and Interaction (5 papers), Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (4 papers), Renal Diseases and Glomerulopathies (3 papers), Chromosomal and Genetic Variations (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Genetics (944 citations), Paleontology (176 citations), Developmental Biology (43 citations), Immunology and Allergy (99 citations) and Social Psychology (340 citations). Marc Pybus has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Jaume Bertranpetit, Hafid Laayouni, Pierre Luisi, Giovanni Marco Dall’Olio, Johannes Engelken, Ferrán Casals, David Comas, Elisabet Ars, Roser Torrá and Carles Lalueza‐Fox. Their work appears in journals such as Nephrology Dialysis Transplantation, Current Biology, Immunity, Bioinformatics and Clinical Kidney Journal.
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.