Joséfina Coloma
- Infectious Diseases top 2%
- Viral Infections and Vectors 24
- SARS-CoV-2 and COVID-19 Research 8
- SARS-CoV-2 detection and testing 6
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- Mosquito-borne diseases and control 50
- Malaria Research and Control 22
- Zoonotic diseases and public health 8
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 13
- Virology top 10%
- Insect Science top 10%
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- Dengue and Mosquito Control Research 11
- Co-authors
- Eva HarrisLeah C. KatzelnickAubree GordonWilliam AvilésÁngel BalmasedaP. Robert BeattyDiana FloresGlenda Castro
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesEcuadorMexico
In The Last Decade
Joséfina Coloma
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Infectious Diseases 914
- Public Health, Environmental and Occupational Health 1.3k
- Modeling and Simulation 194
- Virology 43
- Insect Science 94
Countries citing papers authored by Joséfina Coloma
This map shows the geographic impact of Joséfina Coloma'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 Joséfina Coloma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joséfina Coloma more than expected).
Fields of papers citing papers by Joséfina Coloma
This network shows the impact of papers produced by Joséfina Coloma. 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 Joséfina Coloma. The network helps show where Joséfina Coloma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joséfina Coloma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 2 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 40 | |
| 17 | 2017 | 10 | |
| 18 | 2017 | 11 | |
| 19 | 2017 | 139 | |
| 20 | 2000 | 33 |
About Joséfina Coloma
Joséfina Coloma is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (50 papers), Viral Infections and Vectors (24 papers), Malaria Research and Control (22 papers), COVID-19 epidemiological studies (13 papers), Dengue and Mosquito Control Research (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Zoonotic diseases and public health (8 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Infectious Diseases (914 citations), Public Health, Environmental and Occupational Health (1.3k citations) and Modeling and Simulation (194 citations). Joséfina Coloma has collaborated with scholars based in United States, Ecuador and Mexico. Frequent co-authors include Eva Harris, Leah C. Katzelnick, Aubree Gordon, William Avilés, Ángel Balmaseda, P. Robert Beatty, Diana Flores, Glenda Castro, James H. McKerrow and Scott Balsitis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.