Yeny Tinoco
Impact in
- Parasitology top 10%
- Parasitic Infections and Diagnostics
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 12
- Respiratory viral infections research 4
- Data-Driven Disease Surveillance 1
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- Viral Infections and Vectors 3
- Viral gastroenteritis research and epidemiology 2
- Viral Infections and Outbreaks Research 1
- Co-authors
- Armando E. González (3 shared papers)Candice Romero (9 shared papers)Robert H. Gilman (3 shared papers)Holger Mayta (1 shared paper)Charles R. Sterling (1 shared paper)Eduardo Azziz‐Baumgartner (5 shared papers)Héctor H. Garcı́a (1 shared paper)Giselle Soto (6 shared papers)
- Journals
- Emerging infectious diseases (4 papers)Clinical Infectious Diseases (2 papers)Influenza and Other Respiratory Viruses (2 papers)Vaccine (2 papers)Bulletin of the World Health Organization (1 paper)
- Partner nations
- PeruUnited StatesKenya
In The Last Decade
Yeny Tinoco
17 papers receiving 316 citations
Peers
Comparison fields: 5 of 56
- Parasitology 50
- Infectious Diseases 105
- Agronomy and Crop Science 58
- Epidemiology 164
- Modeling and Simulation 23
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 | 74 | |
| 2 | 2016 | 55 | |
| 3 | 2009 | 42 | |
| 4 | 2019 | 21 | |
| 5 | 2023 | 19 | |
| 6 | 2015 | 17 | |
| 7 | 2012 | 17 | |
| 8 | 2015 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2014 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2014 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 |
About Yeny Tinoco
Yeny Tinoco is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Surgery and Pathology and Forensic Medicine, having authored 17 papers that have together received 328 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (4 papers), Viral Infections and Vectors (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Disease Management and Epidemiology (2 papers), Hepatitis Viruses Studies and Epidemiology (1 paper), Data-Driven Disease Surveillance (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Parasitology (50 citations), Infectious Diseases (105 citations), Agronomy and Crop Science (58 citations), Epidemiology (164 citations) and Modeling and Simulation (23 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, Holger Mayta, Charles R. Sterling, Eduardo Azziz‐Baumgartner, Héctor H. Garcı́a, Giselle Soto, Daniel G. Bausch and Simon Pollett. Their work appears in journals such as Emerging infectious diseases, Clinical Infectious Diseases, Influenza and Other Respiratory Viruses, Vaccine and Bulletin of the World Health Organization.
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.