María Eugenia D’Amato
- Genetics top 5%
- Molecular Biology
- Ecology top 10%
- Global and Planetary Change top 10%
- Aquatic Science top 5%
- Co-authors
- Sean DavisonDaniel CorachFilip VolckaertGary R. CarvalhoB.C.W. Van der WaalMaria M. EsterhuyseRuhan SlabbertMongi Benjeddou
- Topics
- Forensic and Genetic Research (28 papers)Genetic diversity and population structure (21 papers)Molecular Biology Techniques and Applications (16 papers)
- Cited by
- Aquatic ScienceGeneticsArcheology
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsThe American Journal of Human Genetics
- Partner nations
- South AfricaUnited KingdomArgentina
In The Last Decade
María Eugenia D’Amato
55 papers receiving 768 citations
Peers
Comparison fields: 5 of 94
- Genetics 473
- Molecular Biology 343
- Ecology 219
- Global and Planetary Change 137
- Aquatic Science 127
Countries citing papers authored by María Eugenia D’Amato
This map shows the geographic impact of María Eugenia 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 María Eugenia 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 María Eugenia D’Amato more than expected).
Fields of papers citing papers by María Eugenia D’Amato
This network shows the impact of papers produced by María Eugenia 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 María Eugenia D’Amato. The network helps show where María Eugenia D’Amato may publish in the future.
Co-authorship network of co-authors of María Eugenia D’Amato
This figure shows the co-authorship network connecting the top 25 collaborators of María Eugenia D’Amato. A scholar is included among the top collaborators of María Eugenia D’Amato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María Eugenia D’Amato. María Eugenia D’Amato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 22 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 41 | |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 44 | |
| 18 | 9 | |
| 19 | 20 | |
| 20 | 4 |
About María Eugenia D’Amato
María Eugenia D’Amato is a scholar working on Genetics, Archeology and Aquatic Science, having authored 57 papers that have together received 820 indexed citations. Recurring topics across this work include Forensic and Genetic Research (28 papers), Genetic diversity and population structure (21 papers) and Molecular Biology Techniques and Applications (16 papers). The work is most often cited by research in Aquatic Science (127 citations), Genetics (473 citations) and Archeology (11 citations). María Eugenia D’Amato has collaborated with scholars based in South Africa, United Kingdom and Argentina. Frequent co-authors include Sean Davison, Daniel Corach, Filip Volckaert, Gary R. Carvalho, B.C.W. Van der Waal, Maria M. Esterhuyse, Ruhan Slabbert, Mongi Benjeddou, Rouvay Roodt‐Wilding and Aletta E. Bester‐van der Merwe. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The American Journal of Human 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.