Nádia Pinto
Impact in
- Genetics top 5%
- Forensic and Genetic Research
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
- Race, Genetics, and Society
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
- Genetics 42
- Forensic and Genetic Research 33
- Genetic Associations and Epidemiology 16
- Genetic diversity and population structure 8
- Genetic Mapping and Diversity in Plants and Animals 8
- Evolution and Genetic Dynamics 6
- Genetic and phenotypic traits in livestock 5
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- Molecular Biology Techniques and Applications 14
- Identification and Quantification in Food 5
- Co-authors
- António Amorim (39 shared papers)Leonor Gusmão (28 shared papers)Ãngel Carracedo (3 shared papers)Rui Pereira (3 shared papers)Christopher Phillips (1 shared paper)Sidney Emanuel Batista dos Santos (1 shared paper)Carla Santos (1 shared paper)Roberto Hornero (8 shared papers)
In The Last Decade
Nádia Pinto
51 papers receiving 844 citations
Peers
Comparison fields: 5 of 108
- Genetics 561
- Cognitive Neuroscience 108
- Molecular Biology 351
- Archeology 50
- Ecology 79
Countries citing papers authored by Nádia Pinto
This map shows the geographic impact of Nádia Pinto'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 Nádia Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nádia Pinto more than expected).
Fields of papers citing papers by Nádia Pinto
This network shows the impact of papers produced by Nádia Pinto. 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 Nádia Pinto. The network helps show where Nádia Pinto may publish in the future.
Co-authors
The 25 scholars most cited alongside Nádia Pinto, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 186 | |
| 2 | 2016 | 66 | |
| 3 | 2010 | 62 | |
| 4 | 2017 | 57 | |
| 5 | 2010 | 57 | |
| 6 | 2019 | 54 | |
| 7 | 2019 | 50 | |
| 8 | 2020 | 35 | |
| 9 | 2012 | 27 | |
| 10 | 2012 | 22 | |
| 11 | 2011 | 21 | |
| 12 | 2013 | 21 | |
| 13 | 2008 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2010 | 15 | |
| 16 | 2013 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2013 | 10 |
About Nádia Pinto
Nádia Pinto is a scholar working on Genetics, Molecular Biology, Cognitive Neuroscience, Physiology and Ecology, having authored 58 papers that have together received 868 indexed citations. Recurring topics across this work include Forensic and Genetic Research (33 papers), Genetic Associations and Epidemiology (16 papers), Molecular Biology Techniques and Applications (14 papers), Genetic diversity and population structure (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Evolution and Genetic Dynamics (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Identification and Quantification in Food (5 papers). The work is most often cited by research in Genetics (561 citations), Cognitive Neuroscience (108 citations), Molecular Biology (351 citations), Archeology (50 citations) and Ecology (79 citations). Nádia Pinto has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include António Amorim, Leonor Gusmão, Ãngel Carracedo, Rui Pereira, Christopher Phillips, Sidney Emanuel Batista dos Santos, Carla Santos, Roberto Hornero, Jesús Poza and Carlos Gómez. Their work appears in journals such as Forensic Science International Genetics, Genes, Scientific Reports, International Journal of Legal Medicine and Journal of Alzheimer s Disease.
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.