Yeny Tinoco
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
- Parasitology top 10%
Papers in ⓘ
- Epidemiology 13
- Influenza Virus Research Studies 13
- Respiratory viral infections research 10
-
- Viral Infections and Vectors 3
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Armando E. González (3 shared papers)Candice Romero (9 shared papers)Robert H. Gilman (3 shared papers)Giselle Soto (6 shared papers)Holger Mayta (1 shared paper)Eduardo Azziz‐Baumgartner (5 shared papers)Héctor H. Garcı́a (1 shared paper)Charles R. Sterling (1 shared paper)
- Journals
- Emerging infectious diseases (4 papers)Clinical Infectious Diseases (2 papers)Vaccine (2 papers)Influenza and Other Respiratory Viruses (2 papers)Vaccine X (1 paper)
- Partner nations
- PeruUnited StatesKenya
In The Last Decade
Yeny Tinoco
17 papers receiving 289 citations
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 37
- Parasitology 47
- Infectious Diseases 113
- Agronomy and Crop Science 60
- Epidemiology 171
Countries citing papers authored by Yeny Tinoco
This map shows the geographic impact of Yeny Tinoco'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 Yeny Tinoco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeny Tinoco more than expected).
Fields of papers citing papers by Yeny Tinoco
This network shows the impact of papers produced by Yeny Tinoco. 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 Yeny Tinoco. The network helps show where Yeny Tinoco may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeny Tinoco, 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 | 2007 | 61 | |
| 2 | 2016 | 53 | |
| 3 | 2009 | 40 | |
| 4 | 2019 | 20 | |
| 5 | 2023 | 18 | |
| 6 | 2012 | 16 | |
| 7 | 2015 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2015 | 13 | |
| 11 | 2015 | 13 | |
| 12 | 2014 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 |
About Yeny Tinoco
Yeny Tinoco is a scholar working on Epidemiology, Infectious Diseases, Health, Agronomy and Crop Science and Surgery, having authored 17 papers that have together received 297 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (10 papers), Vaccine Coverage and Hesitancy (5 papers), Animal Disease Management and Epidemiology (3 papers), Viral Infections and Vectors (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Smoking Behavior and Cessation (1 paper) and Parasitic infections in humans and animals (1 paper). The work is most often cited by research in Modeling and Simulation (37 citations), Parasitology (47 citations), Infectious Diseases (113 citations), Agronomy and Crop Science (60 citations) and Epidemiology (171 citations). Yeny Tinoco has collaborated with scholars based in Peru, United States and Kenya. Frequent co-authors include Armando E. González, Candice Romero, Robert H. Gilman, Giselle Soto, Holger Mayta, Eduardo Azziz‐Baumgartner, Héctor H. Garcı́a, Charles R. Sterling, Simon Pollett and Daniel G. Bausch. Their work appears in journals such as Emerging infectious diseases, Clinical Infectious Diseases, Vaccine, Influenza and Other Respiratory Viruses and Vaccine X.
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.