Daniela R. Lacerda

28 total papers · 3.6k total citations
16 papers, 399 citations indexed

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 16 papers receiving a total of 399 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 Forensic and Genetic Research (8 papers), Genetic diversity and population structure (8 papers) and Race, Genetics, and Society (4 papers). Daniela R. Lacerda is often cited by papers focused on Forensic and Genetic Research (8 papers), Genetic diversity and population structure (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, José R. Sandoval, Eloisa H. R. Sari, Ricardo Fujita, Pedro Paulo Vieira, Anderson V. Chaves, Susana Revollo, Óscar Acosta and Renata Acácio Ribeiro and has published in prestigious journals such as PLoS ONE, Molecular Ecology and BMC Genomics.

In The Last Decade

Daniela R. Lacerda

16 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniela R. Lacerda	234	104	96	95	52	16	399
Bouchra Douaihy	141 0.6×	131 1.3×	52 0.5×	103 1.1×	18 0.3×	16	344
Simona Grusea	237 1.0×	24 0.2×	98 1.0×	23 0.2×	32 0.6×	16	353
Jean‐Christophe Pintaud	151 0.6×	213 2.0×	80 0.8×	117 1.2×	41 0.8×	14	381
Yong Wang	311 1.3×	34 0.3×	144 1.5×	42 0.4×	49 0.9×	10	434
Ricardo Kanitz	256 1.1×	17 0.2×	104 1.1×	25 0.3×	76 1.5×	14	411
Alexander Gamisch	136 0.6×	111 1.1×	128 1.3×	294 3.1×	43 0.8×	25	437
Jennifer A. Chappill	129 0.6×	137 1.3×	81 0.8×	167 1.8×	67 1.3×	15	368
Özge Balkız	195 0.8×	31 0.3×	35 0.4×	53 0.6×	35 0.7×	15	398
Madlen Stange	180 0.8×	31 0.3×	87 0.9×	77 0.8×	83 1.6×	12	349
Santiago Espinel	118 0.5×	214 2.1×	90 0.9×	85 0.9×	18 0.3×	13	409

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela R. Lacerda. A scholar is included among the top collaborators of Daniela R. Lacerda 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 Daniela R. Lacerda. Daniela R. Lacerda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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