Danielle L. da Silva

878 total citations
23 papers, 663 citations indexed

About

Danielle L. da Silva is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Danielle L. da Silva has authored 23 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Danielle L. da Silva's work include Antifungal resistance and susceptibility (11 papers), Fungal Infections and Studies (6 papers) and Chemical Synthesis and Analysis (2 papers). Danielle L. da Silva is often cited by papers focused on Antifungal resistance and susceptibility (11 papers), Fungal Infections and Studies (6 papers) and Chemical Synthesis and Analysis (2 papers). Danielle L. da Silva collaborates with scholars based in Brazil, United States and Indonesia. Danielle L. da Silva's co-authors include Maria Aparecida de Resende, Ângelo de Fátima, Luzia V. Modolo, Adão A. Sabino, Cleide Viviane Buzanello Martins, Daniel Assis Santos, Susana Johann, Marcos Pinotti, Betânia Maria Soares and Ludmila Matos Baltazar and has published in prestigious journals such as The Science of The Total Environment, Journal of Investigative Dermatology and RSC Advances.

In The Last Decade

Danielle L. da Silva

22 papers receiving 651 citations

Peers

Danielle L. da Silva
Comparison fields: 5 of 105
  • Infectious Diseases 198
  • Molecular Biology 137
  • Molecular Medicine 126
  • Organic Chemistry 118
  • Epidemiology 112
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Poonpilas Hongmanee Thailand
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Soumya Ramu Australia View profile →
Citations per field, relative to Danielle L. da Silva
Danielle L. da Silva · 1×
Citations per year, relative to Danielle L. da Silva
Danielle L. da Silva · 1×

Countries citing papers authored by Danielle L. da Silva

Since Specialization
Citations

This map shows the geographic impact of Danielle L. da 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 L. da 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 L. da Silva more than expected).

Fields of papers citing papers by Danielle L. da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle L. da Silva

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 3
5 5
6 106
7 20
8 10
9 2
10 28
11 14
12 20
13
O maior desastre ambiental brasileiro: de Mariana (MG) a Regência (ES)
3
14 25
15 21
16 24
17 12
18 23
19 65
20 237

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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