Eric Scott
Impact in
- Paleontology top 5%
- Evolution and Paleontology Studies
- Anthropology top 2%
- Pleistocene-Era Hominins and Archaeology
Papers in
- Paleontology 17
- Evolution and Paleontology Studies 17
- Anthropology 13
- Pleistocene-Era Hominins and Archaeology 13
- Co-authors
- Joseph G. Gleeson (2 shared papers)Gary W. Mathern (1 shared paper)Jennifer L. Silhavy (1 shared paper)Tracy Dixon‐Salazar (1 shared paper)Stacey B. Gabriel (1 shared paper)Sangwoo Kim (1 shared paper)Vineet Bafna (1 shared paper)Vincent Funari (1 shared paper)
- Journals
- Quaternary International (4 papers)PeerJ (4 papers)Nature Genetics (2 papers)Quaternary Research (2 papers)Journal of Vertebrate Paleontology (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Eric Scott
25 papers receiving 1.1k citations
Eric Scott's Hit Papers
Peers
Comparison fields: 5 of 103
- Paleontology 282
- Anthropology 202
- Genetics 462
- Equine 19
- Ecology 233
Countries citing papers authored by Eric Scott
This map shows the geographic impact of Eric Scott'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 Eric Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Scott more than expected).
Fields of papers citing papers by Eric Scott
This network shows the impact of papers produced by Eric Scott. 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 Eric Scott. The network helps show where Eric Scott may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Scott, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | De novo somatic mutations in components of the PI3K-AKT3-mTOR pathway cause hemimegalencephaly Hit paper breakdown → | 2012 | 463 |
| 2 | 2016 | 198 | |
| 3 | 2005 | 126 | |
| 4 | 2017 | 55 | |
| 5 | 2004 | 52 | |
| 6 | 2019 | 43 | |
| 7 | 2009 | 33 | |
| 8 | 2022 | 19 | |
| 9 | 2013 | 19 | |
| 10 | 2002 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2016 | 11 | |
| 14 | 2014 | 11 | |
| 15 | 2009 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2006 | 5 | |
| 20 | 2016 | 5 |
About Eric Scott
Eric Scott is a scholar working on Paleontology, Anthropology, Ecology, Atmospheric Science and Ecology, Evolution, Behavior and Systematics, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (17 papers), Pleistocene-Era Hominins and Archaeology (13 papers), Geology and Paleoclimatology Research (8 papers), Wildlife Ecology and Conservation (7 papers), Bat Biology and Ecology Studies (5 papers), Isotope Analysis in Ecology (3 papers), Genomics and Rare Diseases (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Paleontology (282 citations), Anthropology (202 citations), Genetics (462 citations), Equine (19 citations) and Ecology (233 citations). Eric Scott has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Joseph G. Gleeson, Gary W. Mathern, Jennifer L. Silhavy, Tracy Dixon‐Salazar, Stacey B. Gabriel, Sangwoo Kim, Vineet Bafna, Vincent Funari, Jeong Ho Lee and My N. Huynh. Their work appears in journals such as Quaternary International, PeerJ, Nature Genetics, Quaternary Research and Journal of Vertebrate Paleontology.
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.