Ling Ding
Impact in
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Epidemiology 15
- Cytomegalovirus and herpesvirus research 8
- Herpesvirus Infections and Treatments 3
- Oncology 11
- Viral-associated cancers and disorders 10
- Co-authors
- Qiliang Cai (12 shared papers)Fang Wei (11 shared papers)Caixia Zhu (7 shared papers)Yuyan Wang (4 shared papers)Qing Zhu (5 shared papers)Zhenghong Yuan (4 shared papers)Xin‐Fu Zhou (2 shared papers)Bo Xiao (2 shared papers)
- Journals
- Journal of Medical Virology (3 papers)PLoS Pathogens (2 papers)Frontiers in Neurology (2 papers)Environmental Research (1 paper)Clinica Chimica Acta (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Ding
45 papers receiving 503 citations
Peers
Comparison fields: 5 of 92
- Infectious Diseases 85
- Neurology 28
- Biological Psychiatry 8
- Developmental Neuroscience 13
- Cancer Research 44
Countries citing papers authored by Ling Ding
This map shows the geographic impact of Ling 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 Ling Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ding more than expected).
Fields of papers citing papers by Ling Ding
This network shows the impact of papers produced by Ling 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 Ling Ding. The network helps show where Ling Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 34 | |
| 2 | 2007 | 32 | |
| 3 | 2019 | 32 | |
| 4 | 2024 | 29 | |
| 5 | 2018 | 27 | |
| 6 | 2024 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 2022 | 17 | |
| 11 | 2018 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2015 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2007 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2024 | 12 | |
| 20 | 2022 | 11 |
About Ling Ding
Ling Ding is a scholar working on Epidemiology, Oncology, Infectious Diseases, Molecular Biology and Immunology, having authored 49 papers that have together received 510 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), Cytomegalovirus and herpesvirus research (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), RNA modifications and cancer (3 papers), Alzheimer's disease research and treatments (3 papers), Cancer-related molecular mechanisms research (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Infectious Diseases (85 citations), Neurology (28 citations), Biological Psychiatry (8 citations), Developmental Neuroscience (13 citations) and Cancer Research (44 citations). Ling Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiliang Cai, Fang Wei, Caixia Zhu, Yuyan Wang, Qing Zhu, Zhenghong Yuan, Xin‐Fu Zhou, Bo Xiao, Chong Wang and Feng Gu. Their work appears in journals such as Journal of Medical Virology, PLoS Pathogens, Frontiers in Neurology, Environmental Research and Clinica Chimica Acta.
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.