Verónica Gomes
Impact in
- Genetics top 5%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Race, Genetics, and Society
- Genetic Associations and Epidemiology
- Archeology top 2%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
- Genetics 31
- Forensic and Genetic Research 31
- Genetic diversity and population structure 15
- Race, Genetics, and Society 9
- Genetic Associations and Epidemiology 4
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- Forensic Anthropology and Bioarchaeology Studies 8
- Co-authors
- António Amorim (26 shared papers)Leonor Gusmão (30 shared papers)Ãngel Carracedo (8 shared papers)Maria João Prata (13 shared papers)Cı́ntia Alves (6 shared papers)Paula Sánchez‐Diz (5 shared papers)Nádia Pinto (3 shared papers)Iva Gomes (3 shared papers)
In The Last Decade
Verónica Gomes
34 papers receiving 648 citations
Peers
Comparison fields: 5 of 79
- Genetics 519
- Archeology 114
- Paleontology 30
- Molecular Biology 153
- General Health Professions 51
Countries citing papers authored by Verónica Gomes
This map shows the geographic impact of Verónica Gomes'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 Verónica Gomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica Gomes more than expected).
Fields of papers citing papers by Verónica Gomes
This network shows the impact of papers produced by Verónica Gomes. 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 Verónica Gomes. The network helps show where Verónica Gomes may publish in the future.
Co-authors
The 25 scholars most cited alongside Verónica Gomes, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2009 | 55 | |
| 3 | 2011 | 52 | |
| 4 | 2010 | 48 | |
| 5 | 2008 | 41 | |
| 6 | 2020 | 36 | |
| 7 | 2007 | 35 | |
| 8 | 2015 | 30 | |
| 9 | 2013 | 28 | |
| 10 | 2014 | 23 | |
| 11 | 2008 | 20 | |
| 12 | 2009 | 19 | |
| 13 | 2011 | 19 | |
| 14 | 2015 | 19 | |
| 15 | 2010 | 18 | |
| 16 | 2008 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2009 | 17 | |
| 20 | 2021 | 13 |
About Verónica Gomes
Verónica Gomes is a scholar working on Genetics, Archeology, Molecular Biology, General Health Professions and Genetics, having authored 35 papers that have together received 657 indexed citations. Recurring topics across this work include Forensic and Genetic Research (31 papers), Genetic diversity and population structure (15 papers), Race, Genetics, and Society (9 papers), Forensic Anthropology and Bioarchaeology Studies (8 papers), Identification and Quantification in Food (4 papers), Genetic Associations and Epidemiology (4 papers), Romani and Gypsy Studies (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Genetics (519 citations), Archeology (114 citations), Paleontology (30 citations), Molecular Biology (153 citations) and General Health Professions (51 citations). Verónica Gomes has collaborated with scholars based in Portugal, Spain and Brazil. Frequent co-authors include António Amorim, Leonor Gusmão, Ãngel Carracedo, Maria João Prata, Cı́ntia Alves, Paula Sánchez‐Diz, Nádia Pinto, Iva Gomes, Francesc Calafell and José M Larruga. Their work appears in journals such as Forensic Science International Genetics, American Journal of Physical Anthropology, Scientific Reports, Human Genetics and PLoS ONE.
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.