Ying-Ting Wang
Impact in
- Infectious Diseases top 10%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Vectors 4
- COVID-19 Clinical Research Studies 2
-
- Mosquito-borne diseases and control 7
- Malaria Research and Control 2
- Co-authors
- Ling-Ling Chueh (4 shared papers)Sujan Shresta (9 shared papers)José Ángel Regla-Nava (5 shared papers)Kenneth Kim (4 shared papers)Karla M. Viramontes (5 shared papers)Annie Elong Ngono (2 shared papers)Michael Diamond (1 shared paper)Sara Landeras-Bueno (2 shared papers)
- Journals
- Nature Communications (3 papers)The Journal of Immunology (2 papers)Veterinary Research (2 papers)Cell Reports (2 papers)Current Biology (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Ying-Ting Wang
17 papers receiving 338 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 221
- Animal Science and Zoology 83
- Public Health, Environmental and Occupational Health 138
- Modeling and Simulation 15
- Genetics 61
Countries citing papers authored by Ying-Ting Wang
This map shows the geographic impact of Ying-Ting Wang'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 Ying-Ting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Ting Wang more than expected).
Fields of papers citing papers by Ying-Ting Wang
This network shows the impact of papers produced by Ying-Ting Wang. 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 Ying-Ting Wang. The network helps show where Ying-Ting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying-Ting Wang, 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 | 2018 | 78 | |
| 2 | 2013 | 45 | |
| 3 | 2022 | 32 | |
| 4 | 2020 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2020 | 28 | |
| 7 | 2019 | 21 | |
| 8 | 2014 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2013 | 12 | |
| 11 | 2014 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2020 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2025 | 3 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 |
About Ying-Ting Wang
Ying-Ting Wang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Animal Science and Zoology, Epidemiology and Molecular Biology, having authored 17 papers that have together received 341 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Animal Virus Infections Studies (4 papers), Virology and Viral Diseases (4 papers), Viral Infections and Vectors (4 papers), Virus-based gene therapy research (3 papers), Malaria Research and Control (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (221 citations), Animal Science and Zoology (83 citations), Public Health, Environmental and Occupational Health (138 citations), Modeling and Simulation (15 citations) and Genetics (61 citations). Ying-Ting Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ling-Ling Chueh, Sujan Shresta, José Ángel Regla-Nava, Kenneth Kim, Karla M. Viramontes, Annie Elong Ngono, Michael Diamond, Sara Landeras-Bueno, Chen‐Hui Chen and Kenneth D. Poss. Their work appears in journals such as Nature Communications, The Journal of Immunology, Veterinary Research, Cell Reports and Current Biology.
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.