Freddy Alava

1.0k citations
21 papers · 616 · h-index 12

Impact in

Papers in

Freddy Alava

19 papers receiving 600 citations

Peers

Freddy Alava
Comparison fields: 5 of 79
  • Public Health, Environmental and Occupational Health 490
  • Parasitology 95
  • Modeling and Simulation 57
  • Infectious Diseases 90
  • Endocrinology 24
Replace Vanessa Machault with:
Vanessa Machault France
Christopher Schwabe United States
Emily Lyons United Kingdom
Duoquan Wang China
Chrispin Owaga Kenya
Bernard Walter Lawson Ghana
Rose Nani Mudin Malaysia
Tamaki Kobayashi United States
Joseph G. Nzovu Kenya
Harry Hamapumbu United States
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Citations per field
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Citations per year

Countries citing papers authored by Freddy Alava

Since Specialization
Citations

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

Fields of papers citing papers by Freddy Alava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Freddy Alava, 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 Freddy Alava Line = papers co-authored together Freddy Alava links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005155
2 201969
3 201854
4 201553
5 202150
6 201544
7 201741
8 201832
9 201929
10 201726
11 201922
12 202017
13 20208
14 20206
15 20183
16 20232
17 20232
18 20212
19 20241
20
Early detection of malaria resurgence in the Peruvian Amazon Region using serological markers
20140

About Freddy Alava

Freddy Alava is a scholar working on Public Health, Environmental and Occupational Health, Ecology, Modeling and Simulation, Infectious Diseases and Parasitology, having authored 21 papers that have together received 616 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (19 papers), Malaria Research and Control (16 papers), Parasite Biology and Host Interactions (7 papers), COVID-19 epidemiological studies (4 papers), Fish biology, ecology, and behavior (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Insect symbiosis and bacterial influences (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (490 citations), Parasitology (95 citations), Modeling and Simulation (57 citations), Infectious Diseases (90 citations) and Endocrinology (24 citations). Freddy Alava has collaborated with scholars based in Peru, United States and United Kingdom. Frequent co-authors include Dionicia Gamboa, Joseph M. Vinetz, Sara A. Bickersmith, Jan E. Conn, Gabriel Carrasco‐Escobar, Marlon P. Saavedra, Marta Moreno, Hugo Rodríguez, Jean N. Hernandez and Eugenia Alvarez. Their work appears in journals such as Malaria Journal, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, PLoS ONE and Genes.

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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