Ruxia Ding
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 detection and testing 3
- Viral gastroenteritis research and epidemiology 2
-
- Animal Virus Infections Studies 6
- Co-authors
- Jianhui Nie (7 shared papers)Haixin Wang (6 shared papers)Jiajing Wu (6 shared papers)Qianqian Li (6 shared papers)Youchun Wang (5 shared papers)Shuo Liu (5 shared papers)Yue Zhang (4 shared papers)Weijin Huang (6 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (3 papers)Frontiers in Immunology (2 papers)Emerging Microbes & Infections (2 papers)Archives of Virology (1 paper)Communications Biology (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ruxia Ding
11 papers receiving 577 citations
Ruxia Ding's Hit Papers
Peers
Comparison fields: 5 of 58
- Infectious Diseases 499
- Animal Science and Zoology 86
- Modeling and Simulation 20
- Health 26
- Immunology 59
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 | SARS-CoV-2 501Y.V2 variants lack higher infectivity but do have immune escape Hit paper breakdown → | 2021 | 284 |
| 2 | 2021 | 93 | |
| 3 | 2021 | 74 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 3 | |
| 11 | 2022 | 3 |
About Ruxia Ding
Ruxia Ding is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Public Health, Environmental and Occupational Health and Insect Science, having authored 11 papers that have together received 585 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (7 papers), Animal Virus Infections Studies (6 papers), SARS-CoV-2 detection and testing (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Diabetes and associated disorders (1 paper), Mosquito-borne diseases and control (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Infectious Diseases (499 citations), Animal Science and Zoology (86 citations), Modeling and Simulation (20 citations), Health (26 citations) and Immunology (59 citations). Ruxia Ding has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jianhui Nie, Haixin Wang, Jiajing Wu, Qianqian Li, Youchun Wang, Shuo Liu, Yue Zhang, Weijin Huang, Yuanling Yu and Xin Wang. Their work appears in journals such as Signal Transduction and Targeted Therapy, Frontiers in Immunology, Emerging Microbes & Infections, Archives of Virology 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.