Rui-Ting Li
Impact in
- Sensory Systems top 10%
- Insect Science top 10%
Papers in
-
- Viral Infections and Vectors 5
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 3
-
- Mosquito-borne diseases and control 9
- Co-authors
- Cheng‐Feng Qin (15 shared papers)Ling‐Qiao Huang (3 shared papers)Chen‐Zhu Wang (3 shared papers)Jun-Feng Dong (2 shared papers)Yong‐Qiang Deng (7 shared papers)Yan‐Peng Xu (3 shared papers)Jia Zhou (5 shared papers)Qing Ye (3 shared papers)
- Journals
- Nature Communications (3 papers)Journal of Virology (3 papers)Cognitive Neuropsychiatry (2 papers)Insect Biochemistry and Molecular Biology (2 papers)Chinese Journal of Natural Medicines (1 paper)
- Partner nations
- ChinaUnited StatesKazakhstan
In The Last Decade
Rui-Ting Li
32 papers receiving 601 citations
Peers
Comparison fields: 5 of 100
- Sensory Systems 38
- Insect Science 87
- Infectious Diseases 107
- Cellular and Molecular Neuroscience 80
- Cancer Research 47
Countries citing papers authored by Rui-Ting Li
This map shows the geographic impact of Rui-Ting Li'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 Rui-Ting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui-Ting Li more than expected).
Fields of papers citing papers by Rui-Ting Li
This network shows the impact of papers produced by Rui-Ting Li. 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 Rui-Ting Li. The network helps show where Rui-Ting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui-Ting Li, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 125 | |
| 2 | 2020 | 71 | |
| 3 | 2020 | 67 | |
| 4 | 2021 | 51 | |
| 5 | 2022 | 43 | |
| 6 | 2018 | 29 | |
| 7 | 2021 | 27 | |
| 8 | 2017 | 23 | |
| 9 | 2017 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2023 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2025 | 7 | |
| 20 | 2022 | 6 |
About Rui-Ting Li
Rui-Ting Li is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Epidemiology and Insect Science, having authored 35 papers that have together received 605 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (5 papers), Neurobiology and Insect Physiology Research (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Hibiscus Plant Research Studies (2 papers), Plant and animal studies (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Sensory Systems (38 citations), Insect Science (87 citations), Infectious Diseases (107 citations), Cellular and Molecular Neuroscience (80 citations) and Cancer Research (47 citations). Rui-Ting Li has collaborated with scholars based in China, United States and Kazakhstan. Frequent co-authors include Cheng‐Feng Qin, Ling‐Qiao Huang, Chen‐Zhu Wang, Jun-Feng Dong, Yong‐Qiang Deng, Yan‐Peng Xu, Jia Zhou, Qing Ye, Xu Li and Yuting Zhang. Their work appears in journals such as Nature Communications, Journal of Virology, Cognitive Neuropsychiatry, Insect Biochemistry and Molecular Biology and Chinese Journal of Natural Medicines.
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.