Jia-Te Wei
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
-
- Viral Infections and Vectors
Papers in
-
- COVID-19 Clinical Research Studies 2
- Viral Infections and Vectors 2
-
- COVID-19 epidemiological studies 3
- Co-authors
- Lin Zhao (7 shared papers)Chongqi Jia (2 shared papers)Xin Yin (2 shared papers)Qi Liu (2 shared papers)Libo Tan (1 shared paper)Wu‐Chun Cao (8 shared papers)Wu-Chun Cao (1 shared paper)Na Jia (4 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (2 papers)Journal of Diabetes (1 paper)Journal of Global Health (1 paper)BMC Infectious Diseases (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- ChinaBelarusUnited States
In The Last Decade
Jia-Te Wei
12 papers receiving 283 citations
Peers
Comparison fields: 5 of 60
- Parasitology 84
- Infectious Diseases 103
- Modeling and Simulation 20
- Insect Science 24
- Ecology, Evolution, Behavior and Systematics 38
Countries citing papers authored by Jia-Te Wei
This map shows the geographic impact of Jia-Te Wei'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 Jia-Te Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia-Te Wei more than expected).
Fields of papers citing papers by Jia-Te Wei
This network shows the impact of papers produced by Jia-Te Wei. 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 Jia-Te Wei. The network helps show where Jia-Te Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia-Te Wei, 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 | 2020 | 112 | |
| 2 | 2018 | 53 | |
| 3 | 2020 | 39 | |
| 4 | 2017 | 18 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 1 |
About Jia-Te Wei
Jia-Te Wei is a scholar working on Infectious Diseases, Modeling and Simulation, Parasitology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 285 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Bartonella species infections research (2 papers), Mosquito-borne diseases and control (2 papers), COVID-19 Clinical Research Studies (2 papers), Viral Infections and Vectors (2 papers), Sodium Intake and Health (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Parasitology (84 citations), Infectious Diseases (103 citations), Modeling and Simulation (20 citations), Insect Science (24 citations) and Ecology, Evolution, Behavior and Systematics (38 citations). Jia-Te Wei has collaborated with scholars based in China, Belarus and United States. Frequent co-authors include Lin Zhao, Chongqi Jia, Xin Yin, Qi Liu, Libo Tan, Wu‐Chun Cao, Wu-Chun Cao, Na Jia, Xiaoming Cui and Shixue Li. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Diabetes, Journal of Global Health, BMC Infectious Diseases and PLoS neglected tropical diseases.
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.