Daniela de Melo Resende

971 citations
27 papers · 571 indexed · h-index 13

Daniela de Melo Resende

27 papers receiving 559 citations

Peers

Daniela de Melo Resende
Comparison fields: 5 of 66
  • Public Health, Environmental and Occupational Health 434
  • Epidemiology 300
  • Molecular Biology 151
  • Parasitology 105
  • Immunology 89
Replace J. S. Keithly with:
J. S. Keithly United States
Mariana Santos Cardoso Brazil
Sergio C.F. Mendonça Brazil
Cristina Poveda United States
Faria Hossain Bangladesh
Franck Dumetz Belgium
Olı́via Roos Rodrigues Portugal
Ingrid Menz Brazil
Christian Muñoz Chile
Wanderson D. DaRocha Brazil
Daniela de Melo Resende relative to J. S. Keithly United States J. S. Keithly's profile →
Citations per field
00.5×7.4×
J. S. Keithly · 1×
Citations per year

Countries citing papers authored by Daniela de Melo Resende

Since Specialization
Citations

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

Fields of papers citing papers by Daniela de Melo Resende

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela de Melo Resende. 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 de Melo Resende. The network helps show where Daniela de Melo Resende may publish in the future.

Co-authorship network of co-authors of Daniela de Melo Resende

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela de Melo Resende. A scholar is included among the top collaborators of Daniela de Melo Resende 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 de Melo Resende. Daniela de Melo Resende 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
#WorkIndexed citations
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10 19
11 16
12 3
13 64
14 11
15 20
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17 45
18 30
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20 57

About Daniela de Melo Resende

Daniela de Melo Resende is a scholar working on Public Health, Environmental and Occupational Health, Parasitology and Epidemiology, having authored 27 papers that have together received 571 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (20 papers), Trypanosoma species research and implications (15 papers) and vaccines and immunoinformatics approaches (6 papers). The work is most often cited by research in Parasitology (105 citations), Public Health, Environmental and Occupational Health (434 citations) and Epidemiology (300 citations). Daniela de Melo Resende has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Jerônimo C. Ruiz, Alexandre Barbosa Reis, Rory Cristiane Fortes de Brito, Bruno Mendes Roatt, Ricardo T. Gazzinelli, Ana Paula Fernandes, Rodrigo Dian de Oliveira Aguiar‐Soares, Míriam Maria Silva Costa, Eduardo Antônio Ferraz Coelho and Levi Eduardo Soares Reis. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Immunology.

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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