Ting Le
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Pathology and Forensic Medicine top 10%
- Tea Polyphenols and Effects
Papers in
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Heyuan Jiang (6 shared papers)Wei Wang (4 shared papers)Jinjin Xue (4 shared papers)Jianyong Zhang (4 shared papers)Weiwei Wang (3 shared papers)Jun‐Feng Yin (3 shared papers)Xin Yin (3 shared papers)Guijie Zhang (1 shared paper)
In The Last Decade
Ting Le
21 papers receiving 343 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 65
- Pathology and Forensic Medicine 99
- Food Science 76
- Cell Biology 50
- Infectious Diseases 42
Countries citing papers authored by Ting Le
This map shows the geographic impact of Ting Le'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 Ting Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Le more than expected).
Fields of papers citing papers by Ting Le
This network shows the impact of papers produced by Ting Le. 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 Ting Le. The network helps show where Ting Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2022 | 57 | |
| 3 | 2022 | 54 | |
| 4 | 2021 | 46 | |
| 5 | 2023 | 35 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 21 | |
| 8 | 2018 | 12 | |
| 9 | 2021 | 8 | |
| 10 | 2018 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2020 | 3 | |
| 16 | Differential Effects of Specific Negative Emotions on Individual Risk Preference Behaviors under Social Accidents: An Analysis from the Perspective of Affective Computing Theory | 2015 | 2 |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 1 |
About Ting Le
Ting Le is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 348 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Tea Polyphenols and Effects (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (3 papers), Viral Infections and Immunology Research (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Animal Disease Management and Epidemiology (2 papers) and Food Quality and Safety Studies (2 papers). The work is most often cited by research in Biochemistry (65 citations), Pathology and Forensic Medicine (99 citations), Food Science (76 citations), Cell Biology (50 citations) and Infectious Diseases (42 citations). Ting Le has collaborated with scholars based in China, Russia and Germany. Frequent co-authors include Heyuan Jiang, Wei Wang, Jinjin Xue, Jianyong Zhang, Weiwei Wang, Jun‐Feng Yin, Xin Yin, Guijie Zhang, Chao Sun and Panpan Liu. Their work appears in journals such as Foods, Frontiers in Bioscience-Landmark, International Immunopharmacology, Antioxidants and Digestive Diseases and Sciences.
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.