Prina Donga

462 total citations
34 papers, 323 citations indexed

About

Prina Donga is a scholar working on Infectious Diseases, Emergency Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Prina Donga has authored 34 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 17 papers in Emergency Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Prina Donga's work include HIV-related health complications and treatments (17 papers), HIV/AIDS Research and Interventions (15 papers) and HIV/AIDS drug development and treatment (15 papers). Prina Donga is often cited by papers focused on HIV-related health complications and treatments (17 papers), HIV/AIDS Research and Interventions (15 papers) and HIV/AIDS drug development and treatment (15 papers). Prina Donga collaborates with scholars based in United States, Belgium and Canada. Prina Donga's co-authors include Marie‐Hélène Lafeuille, Carmine Rossi, Bruno Émond, Grace A. McComsey, David Anderson, Jay Lin, Rachel Rogers, Melissa Lingohr-Smith, Patrick Lefèbvre and Aurélie Côté‐Sergent and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Prina Donga

34 papers receiving 320 citations

Peers

Prina Donga
Comparison fields: 5 of 56
  • Infectious Diseases 150
  • Emergency Medicine 111
  • Epidemiology 70
  • Virology 60
  • Oncology 44
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Regina Kuhmmer Brazil
Rosmeri Kuhmmer Lazzaretti Brazil
Susan Louw South Africa
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Mabel Toribio United States View profile →
Citations per field, relative to Prina Donga
Prina Donga · 1×
Citations per year, relative to Prina Donga
Prina Donga · 1×

Countries citing papers authored by Prina Donga

Since Specialization
Citations

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

Fields of papers citing papers by Prina Donga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prina Donga. 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 Prina Donga. The network helps show where Prina Donga may publish in the future.

Co-authorship network of co-authors of Prina Donga

This figure shows the co-authorship network connecting the top 25 collaborators of Prina Donga. A scholar is included among the top collaborators of Prina Donga 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 Prina Donga. Prina Donga 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 14
2 3
3 5
4 27
5 12
6 8
7 48
8 1
9 8
10 3
11 18
12 10
13 9
14 22
15 4
16 23
17 7
18 3
19 3
20
The burden of multiple sclerosis in China: A literature review
3

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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