Kevin Gori
Impact in
- Paleontology top 5%
- Archaeology and ancient environmental studies
- Evolution and Paleontology Studies
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology
Papers in
-
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 1
- Genetics 3
- Forensic and Genetic Research 1
- Co-authors
- Martin Carr (1 shared paper)Paul Mellars (1 shared paper)Martin Richards (1 shared paper)Pedro Soares (1 shared paper)Christophe Dessimoz (4 shared papers)Adrian Baez‐Ortega (1 shared paper)Clément-Marie Train (1 shared paper)Nives Škunca (1 shared paper)
- Journals
- Molecular Biology and Evolution (2 papers)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Royal Society Open Science (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Kevin Gori
7 papers receiving 445 citations
Peers
Comparison fields: 5 of 79
- Paleontology 120
- Anthropology 137
- Archeology 110
- Archeology 11
- Genetics 99
Countries citing papers authored by Kevin Gori
This map shows the geographic impact of Kevin Gori'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 Kevin Gori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Gori more than expected).
Fields of papers citing papers by Kevin Gori
This network shows the impact of papers produced by Kevin Gori. 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 Kevin Gori. The network helps show where Kevin Gori may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Gori, 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 | 2013 | 196 | |
| 2 | 2014 | 150 | |
| 3 | 2016 | 40 | |
| 4 | 2017 | 29 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2024 | 1 |
About Kevin Gori
Kevin Gori is a scholar working on Molecular Biology, Genetics, Small Animals, Pulmonary and Respiratory Medicine and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 456 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Forensic and Genetic Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper), Plant nutrient uptake and metabolism (1 paper), Diptera species taxonomy and behavior (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Paleontology (120 citations), Anthropology (137 citations), Archeology (110 citations), Archeology (11 citations) and Genetics (99 citations). Kevin Gori has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Martin Carr, Paul Mellars, Martin Richards, Pedro Soares, Christophe Dessimoz, Adrian Baez‐Ortega, Clément-Marie Train, Nives Škunca, Natasha Glover and Bartłomiej Tomiczek. Their work appears in journals such as Molecular Biology and Evolution, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Royal Society Open Science and Briefings in Bioinformatics.
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.