Jinya Ding
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 2
- Antimicrobial Resistance in Staphylococcus 1
-
- Liver Disease Diagnosis and Treatment 1
- Co-authors
- Qianchuan Huang (3 shared papers)Dong Men (1 shared paper)Ying Liu (1 shared paper)Xiaohua Chen (1 shared paper)Bo Yang (1 shared paper)Feng Li (1 shared paper)Yurou Chen (1 shared paper)Yong Feng (1 shared paper)
- Journals
- Journal of Microbiological Methods (1 paper)Clinical Infectious Diseases (1 paper)Frontiers in Public Health (1 paper)Frontiers in Oncology (1 paper)Journal of Medical Virology (1 paper)
- Partner nations
- China
In The Last Decade
Jinya Ding
9 papers receiving 853 citations
Jinya Ding's Hit Papers
Peers
Comparison fields: 5 of 90
- Infectious Diseases 560
- Neurology 261
- Molecular Medicine 37
- Biological Psychiatry 13
- Critical Care and Intensive Care Medicine 24
Countries citing papers authored by Jinya Ding
This map shows the geographic impact of Jinya 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 Jinya Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinya Ding more than expected).
Fields of papers citing papers by Jinya Ding
This network shows the impact of papers produced by Jinya 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 Jinya Ding. The network helps show where Jinya Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinya 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 | Detectable Serum Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load (RNAemia) Is Closely Correlated With Drastically Elevated Interleukin 6 Level in Critically Ill Patients With Coronavirus Disease 2019 Hit paper breakdown → | 2020 | 700 |
| 2 | 2015 | 62 | |
| 3 | 2015 | 36 | |
| 4 | 2016 | 32 | |
| 5 | 2017 | 23 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2023 | 1 |
About Jinya Ding
Jinya Ding is a scholar working on Infectious Diseases, Epidemiology, Cancer Research, Molecular Biology and Neurology, having authored 9 papers that have together received 865 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Systemic Lupus Erythematosus Research (1 paper), Liver Diseases and Immunity (1 paper), Streptococcal Infections and Treatments (1 paper), Vibrio bacteria research studies (1 paper), Multiple Myeloma Research and Treatments (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Infectious Diseases (560 citations), Neurology (261 citations), Molecular Medicine (37 citations), Biological Psychiatry (13 citations) and Critical Care and Intensive Care Medicine (24 citations). Jinya Ding has collaborated with scholars based in China. Frequent co-authors include Qianchuan Huang, Dong Men, Ying Liu, Xiaohua Chen, Bo Yang, Feng Li, Yurou Chen, Yong Feng, Jie Xiong and Bin Yang. Their work appears in journals such as Journal of Microbiological Methods, Clinical Infectious Diseases, Frontiers in Public Health, Frontiers in Oncology and Journal of Medical Virology.
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.