Danielle G. Passos-Silva

23 total papers · 1.5k total citations
18 papers, 795 citations indexed

About

Danielle G. Passos-Silva is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Danielle G. Passos-Silva has authored 18 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Danielle G. Passos-Silva's work include Trypanosoma species research and implications (9 papers), Research on Leishmaniasis Studies (5 papers) and Renin-Angiotensin System Studies (4 papers). Danielle G. Passos-Silva is often cited by papers focused on Trypanosoma species research and implications (9 papers), Research on Leishmaniasis Studies (5 papers) and Renin-Angiotensin System Studies (4 papers). Danielle G. Passos-Silva collaborates with scholars based in Brazil, Denmark and United Kingdom. Danielle G. Passos-Silva's co-authors include Robson A.S. Santos, Thiago Verano‐Braga, Carlos Renato Machado, Enrique Brandan, Daniel Campos Villela, Carolina Furtado, Matheus Andrade Rajão, Santuza Maria Ribeiro Teixeira, Glória Regina Franco and Andréa Mara Macedo and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Molecular Microbiology.

In The Last Decade

Danielle G. Passos-Silva

18 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle G. Passos-Silva 347 341 241 193 123 18 795
Tim Van Assche 255 0.7× 172 0.5× 215 0.9× 198 1.0× 39 0.3× 28 972
Fabíola Mestriner 224 0.6× 271 0.8× 121 0.5× 164 0.8× 106 0.9× 28 721
Dazhi Zhao 244 0.7× 520 1.5× 121 0.5× 265 1.4× 23 0.2× 21 867
Nicole H. Rogers 275 0.8× 314 0.9× 77 0.3× 37 0.2× 155 1.3× 15 1000
Olivier Briand 391 1.1× 170 0.5× 52 0.2× 126 0.7× 127 1.0× 27 936
Megan L. Kelly 667 1.9× 72 0.2× 105 0.4× 123 0.6× 73 0.6× 23 1.0k
Aurélie Claës 337 1.0× 104 0.3× 43 0.2× 315 1.6× 222 1.8× 22 846
Daniela Cosentino‐Gomes 347 1.0× 124 0.4× 45 0.2× 83 0.4× 40 0.3× 23 794
Anita A. Pinar 415 1.2× 190 0.6× 92 0.4× 88 0.5× 58 0.5× 17 923
P. Graß 216 0.6× 240 0.7× 45 0.2× 101 0.5× 257 2.1× 33 919

Countries citing papers authored by Danielle G. Passos-Silva

Since Specialization
Citations

This map shows the geographic impact of Danielle G. Passos-Silva'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 Danielle G. Passos-Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle G. Passos-Silva more than expected).

Fields of papers citing papers by Danielle G. Passos-Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle G. Passos-Silva. 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 Danielle G. Passos-Silva. The network helps show where Danielle G. Passos-Silva may publish in the future.

Co-authorship network of co-authors of Danielle G. Passos-Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle G. Passos-Silva. A scholar is included among the top collaborators of Danielle G. Passos-Silva 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 Danielle G. Passos-Silva. Danielle G. Passos-Silva 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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