George D. Amato
Impact in
- Paleontology top 1%
- Evolution and Paleontology Studies
- Paleontology and Evolutionary Biology
-
- Turtle Biology and Conservation
- Ichthyology and Marine Biology
Papers in
- Co-authors
- Rob DeSalle (20 shared papers)John Gatesy (9 shared papers)Sergios‐Orestis Kolokotronis (9 shared papers)Michael A. Russello (9 shared papers)Jacob H. Lowenstein (2 shared papers)Evon R. Hekkala (9 shared papers)Eugênia Naro‐Maciel (6 shared papers)Robert DeSalle (2 shared papers)
- Journals
- Molecular Phylogenetics and Evolution (10 papers)PLoS ONE (10 papers)Molecular Ecology (6 papers)Conservation Genetics (5 papers)Conservation Biology (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
George D. Amato
101 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 125
- Paleontology 758
- Nature and Landscape Conservation 1.1k
- Ecological Modeling 265
- Ecology 1.5k
- Genetics 1.2k
Countries citing papers authored by George D. Amato
This map shows the geographic impact of George D. Amato'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 George D. Amato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George D. Amato more than expected).
Fields of papers citing papers by George D. Amato
This network shows the impact of papers produced by George D. Amato. 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 George D. Amato. The network helps show where George D. Amato may publish in the future.
Co-authors
The 25 scholars most cited alongside George D. Amato, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 340 | |
| 2 | 2003 | 180 | |
| 3 | 2000 | 172 | |
| 4 | 2009 | 154 | |
| 5 | 2012 | 144 | |
| 6 | 2011 | 136 | |
| 7 | 2011 | 134 | |
| 8 | 1997 | 133 | |
| 9 | 2009 | 120 | |
| 10 | 2008 | 101 | |
| 11 | 2010 | 84 | |
| 12 | 2008 | 80 | |
| 13 | 1999 | 78 | |
| 14 | 2011 | 75 | |
| 15 | 2016 | 74 | |
| 16 | 2003 | 72 | |
| 17 | 2013 | 65 | |
| 18 | 2016 | 57 | |
| 19 | 2003 | 56 | |
| 20 | 2017 | 56 |
About George D. Amato
George D. Amato is a scholar working on Genetics, Ecology, Nature and Landscape Conservation, Paleontology and Ecological Modeling, having authored 103 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genetic diversity and population structure (43 papers), Wildlife Ecology and Conservation (24 papers), Identification and Quantification in Food (22 papers), Genomics and Phylogenetic Studies (18 papers), Evolution and Paleontology Studies (14 papers), Turtle Biology and Conservation (11 papers), Amphibian and Reptile Biology (10 papers) and Paleontology and Evolutionary Biology (10 papers). The work is most often cited by research in Paleontology (758 citations), Nature and Landscape Conservation (1.1k citations), Ecological Modeling (265 citations), Ecology (1.5k citations) and Genetics (1.2k citations). George D. Amato has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rob DeSalle, John Gatesy, Sergios‐Orestis Kolokotronis, Michael A. Russello, Jacob H. Lowenstein, Evon R. Hekkala, Eugênia Naro‐Maciel, Robert DeSalle, Minh Đức Lê and Paul Z. Goldstein. Their work appears in journals such as Molecular Phylogenetics and Evolution, PLoS ONE, Molecular Ecology, Conservation Genetics and Conservation Biology.
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.