Li Dong
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 13
- SARS-CoV-2 and COVID-19 Research 5
- Epidemiology 19
- Cervical Cancer and HPV Research 10
- Hepatitis B Virus Studies 4
- Co-authors
- Xun LiHui ChenYan LiZuojiong GongLuwen WangShaonan YanXiaoping YinBu‐Lang Gao
- Journals
- Clinical Infectious Diseases (2 papers)International Journal of Cancer (2 papers)Journal of Medical Virology (2 papers)Gynecologic Oncology (2 papers)Frontiers in Cardiovascular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Li Dong
42 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.1k
- Neurology 374
- Nephrology 114
- Obstetrics and Gynecology 124
- Hematology 140
Countries citing papers authored by Li Dong
This map shows the geographic impact of Li Dong'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 Li Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Dong more than expected).
Fields of papers citing papers by Li Dong
This network shows the impact of papers produced by Li Dong. 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 Li Dong. The network helps show where Li Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Dong, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 60 | |
| 8 | Relationship Between the ABO Blood Group and the Coronavirus Disease 2019 (COVID-19) Susceptibility Hit paper breakdown → | 2020 | 355 |
| 9 | Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2 Hit paper breakdown → | 2020 | 372 |
| 10 | 2020 | 313 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 29 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 55 | |
| 17 | 2018 | 9 | |
| 18 | 2017 | 25 | |
| 19 | 2011 | 16 | |
| 20 | Transscleral diode laser cyclophotocoagulation for treatment of refractory glaucoma | 2006 | 0 |
About Li Dong
Li Dong is a scholar working on Infectious Diseases, Epidemiology, Complementary and alternative medicine, Periodontics and Neurology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), Cervical Cancer and HPV Research (10 papers), Long-Term Effects of COVID-19 (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Hepatitis B Virus Studies (4 papers), Genital Health and Disease (4 papers), Esophageal Cancer Research and Treatment (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Neurology (374 citations), Nephrology (114 citations), Obstetrics and Gynecology (124 citations) and Hematology (140 citations). Li Dong has collaborated with scholars based in China, United States and France. Frequent co-authors include Xun Li, Hui Chen, Yan Li, Zuojiong Gong, Luwen Wang, Shaonan Yan, Xiaoping Yin, Bu‐Lang Gao, Xi Ma and Weimin An. Their work appears in journals such as Clinical Infectious Diseases, International Journal of Cancer, Journal of Medical Virology, Gynecologic Oncology and Frontiers in Cardiovascular Medicine.
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.