Tian-Le Che
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
Papers in
-
- Viral Infections and Vectors 6
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Li‐Qun Fang (15 shared papers)Wei Liu (14 shared papers)Haiyang Zhang (8 shared papers)Yang Yang (5 shared papers)Qiang Xu (8 shared papers)Chen‐Long Lv (10 shared papers)Bao‐Gui Jiang (8 shared papers)Simon I Hay (6 shared papers)
- Journals
- The Lancet Regional Health - Western Pacific (3 papers)Infectious Diseases of Poverty (2 papers)BMC Infectious Diseases (2 papers)Epidemiology and Infection (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesBelarus
In The Last Decade
Tian-Le Che
16 papers receiving 230 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 58
- Infectious Diseases 119
- Parasitology 30
- Nutrition and Dietetics 33
- Virology 7
Countries citing papers authored by Tian-Le Che
This map shows the geographic impact of Tian-Le Che'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 Tian-Le Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian-Le Che more than expected).
Fields of papers citing papers by Tian-Le Che
This network shows the impact of papers produced by Tian-Le Che. 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 Tian-Le Che. The network helps show where Tian-Le Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Tian-Le Che, 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 | 2021 | 85 | |
| 2 | 2021 | 35 | |
| 3 | 2020 | 22 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 0 |
About Tian-Le Che
Tian-Le Che is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology and Modeling and Simulation, having authored 17 papers that have together received 234 indexed citations. Recurring topics across this work include Viral Infections and Vectors (6 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 epidemiological studies (3 papers), Vector-borne infectious diseases (3 papers), Poxvirus research and outbreaks (2 papers), Zoonotic diseases and public health (2 papers), Bacillus and Francisella bacterial research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Infectious Diseases (119 citations), Parasitology (30 citations), Nutrition and Dietetics (33 citations) and Virology (7 citations). Tian-Le Che has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Li‐Qun Fang, Wei Liu, Haiyang Zhang, Yang Yang, Qiang Xu, Chen‐Long Lv, Bao‐Gui Jiang, Simon I Hay, Jinjin Chen and Anran Zhang. Their work appears in journals such as The Lancet Regional Health - Western Pacific, Infectious Diseases of Poverty, BMC Infectious Diseases, Epidemiology and Infection and Nature Communications.
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.