Daniela R. Lacerda

About

Daniela R. Lacerda is a scholar working on Genetics, Molecular Biology and Cultural Studies. According to data from OpenAlex, Daniela R. Lacerda has authored 14 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Cultural Studies. Recurrent topics in Daniela R. Lacerda’s work include Genetic diversity and population structure (8 papers), Forensic and Genetic Research (8 papers) and Race, Genetics, and Society (4 papers). Daniela R. Lacerda is often cited by papers focused on Genetic diversity and population structure (8 papers), Forensic and Genetic Research (8 papers) and Race, Genetics, and Society (4 papers). Daniela R. Lacerda collaborates with scholars based in Brazil, Peru and Bolivia. Daniela R. Lacerda's co-authors include Maria Bernadete Lovato, Fabrício R. Santos, Eloisa H. R. Sari, José R. Sandoval, Ricardo Fujita, Pedro Paulo Vieira, Óscar Acosta, Susana Revollo, Renata Acácio Ribeiro and Anderson V. Chaves and has published in prestigious journals such as PLoS ONE, Molecular Ecology and BMC Genomics.

In The Last Decade

Co-authorship network of co-authors of Daniela R. Lacerda i

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Fields of papers citing papers by Daniela R. Lacerda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela R. Lacerda. 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 Daniela R. Lacerda. The network helps show where Daniela R. Lacerda may publish in the future.

Countries citing papers authored by Daniela R. Lacerda

Since Specialization

Citations

This map shows the geographic impact of Daniela R. Lacerda'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 Daniela R. Lacerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela R. Lacerda more than expected).

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.

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