Ruxia Ding
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
-
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 3
- Viral gastroenteritis research and epidemiology 2
- Viral Infections and Outbreaks Research 1
-
- Animal Virus Infections Studies 5
- Co-authors
- Jianhui Nie (6 shared papers)Qianqian Li (6 shared papers)Weijin Huang (6 shared papers)Youchun Wang (5 shared papers)Shuo Liu (5 shared papers)Jiajing Wu (6 shared papers)Yue Zhang (4 shared papers)Haixin Wang (5 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Signal Transduction and Targeted Therapy (1 paper)Archives of Virology (1 paper)Emerging Microbes & Infections (1 paper)Communications Biology (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Ruxia Ding
7 papers receiving 154 citations
Peers
Comparison fields: 5 of 36
- Infectious Diseases 140
- Animal Science and Zoology 21
- Modeling and Simulation 5
- Neurology 15
- Health 8
Countries citing papers authored by Ruxia Ding
This map shows the geographic impact of Ruxia Ding'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 Ruxia Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruxia Ding more than expected).
Fields of papers citing papers by Ruxia Ding
This network shows the impact of papers produced by Ruxia Ding. 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 Ruxia Ding. The network helps show where Ruxia Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruxia Ding, 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 | 61 | |
| 2 | 2021 | 43 | |
| 3 | 2021 | 23 | |
| 4 | 2021 | 13 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 3 | |
| 7 | 2020 | 2 |
About Ruxia Ding
Ruxia Ding is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Public Health, Environmental and Occupational Health and Organic Chemistry, having authored 7 papers that have together received 158 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Animal Virus Infections Studies (5 papers), COVID-19 Clinical Research Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Outbreaks Research (1 paper), Diabetes and associated disorders (1 paper), Virus-based gene therapy research (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Infectious Diseases (140 citations), Animal Science and Zoology (21 citations), Modeling and Simulation (5 citations), Neurology (15 citations) and Health (8 citations). Ruxia Ding has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jianhui Nie, Qianqian Li, Weijin Huang, Youchun Wang, Shuo Liu, Jiajing Wu, Yue Zhang, Haixin Wang, Yuanling Yu and Yue Zhang. Their work appears in journals such as Frontiers in Immunology, Signal Transduction and Targeted Therapy, Archives of Virology, Emerging Microbes & Infections and Communications 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.