Dionicia Gamboa

5.9k citations
109 papers · 2.9k · h-index 29

Impact in

Papers in

Dionicia Gamboa

102 papers receiving 2.9k citations

Peers

Dionicia Gamboa
Comparison fields: 5 of 113
  • Public Health, Environmental and Occupational Health 2.5k
  • Parasitology 343
  • Modeling and Simulation 69
  • Endocrinology 73
  • Virology 54
Replace Christopher J. Drakeley with:
Christopher J. Drakeley United Kingdom
Cristian Koepfli United States
Matthew J. Grigg Australia
Mahamadou A. Théra Mali
Ranjan Ramasamy Sri Lanka
Jeeraphat Sirichaisinthop Thailand
Sócrates Herrera Colombia
Leanne J. Robinson Australia
Stephan Karl Australia
Kevin K. A. Tetteh United Kingdom
Dionicia Gamboa relative to Christopher J. Drakeley United Kingdom Christopher J. Drakeley's profile →
Citations per field
00.5×3.1×
Christopher J. Drakeley · 1×
Citations per year

Countries citing papers authored by Dionicia Gamboa

Since Specialization
Citations

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

Fields of papers citing papers by Dionicia Gamboa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dionicia Gamboa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dionicia Gamboa Line = papers co-authored together Dionicia Gamboa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010355
2 2005156
3 2011112
4 2012103
5 201384
6 201777
7 201574
8 201971
9 201571
10 201069
11 201665
12 201064
13 201553
14 201153
15 201752
16 201447
17 201546
18 201741
19 201641
20 201737

About Dionicia Gamboa

Dionicia Gamboa is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Ecology, Parasitology and Epidemiology, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Malaria Research and Control (98 papers), Mosquito-borne diseases and control (52 papers), Parasite Biology and Host Interactions (9 papers), Trypanosoma species research and implications (7 papers), Vector-borne infectious diseases (6 papers), Insect Pest Control Strategies (5 papers), Complement system in diseases (5 papers) and Research on Leishmaniasis Studies (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (2.5k citations), Parasitology (343 citations), Modeling and Simulation (69 citations), Endocrinology (73 citations) and Virology (54 citations). Dionicia Gamboa has collaborated with scholars based in Peru, United States and Belgium. Frequent co-authors include Joseph M. Vinetz, Alejandro Llanos‐Cuentas, Katherine Torres, Jorge Bendezú, Hugo Rodríguez, Gabriel Carrasco‐Escobar, Jan E. Conn, Marta Moreno, Annette Erhart and Ángel Rosas-Aguirre. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, PLoS ONE and Scientific Reports.

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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