Danping Liu
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 5
- Hepatitis B Virus Studies 4
- Mycobacterium research and diagnosis 2
-
- HIV/AIDS Research and Interventions 2
- COVID-19 Clinical Research Studies 2
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Dan Huang (5 shared papers)Jun Chen (11 shared papers)Hongzhou Lu (5 shared papers)Yinzhong Shen (8 shared papers)Li Liu (4 shared papers)Lu Xia (1 shared paper)Dandan Zhang (1 shared paper)Zhiping Qian (1 shared paper)
- Journals
- International Journal of Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)Frontiers in Public Health (1 paper)Journal of Gastroenterology and Hepatology (1 paper)Dermatologic Therapy (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Danping Liu
15 papers receiving 669 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 432
- Neurology 158
- Ophthalmology 45
- Hepatology 33
- Epidemiology 118
Countries citing papers authored by Danping Liu
This map shows the geographic impact of Danping Liu'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 Danping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danping Liu more than expected).
Fields of papers citing papers by Danping Liu
This network shows the impact of papers produced by Danping Liu. 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 Danping Liu. The network helps show where Danping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danping Liu, 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 | 2020 | 489 | |
| 2 | 2017 | 43 | |
| 3 | 2021 | 33 | |
| 4 | 2016 | 31 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2020 | 0 |
About Danping Liu
Danping Liu is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Immunology and Dermatology, having authored 20 papers that have together received 686 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Hepatitis B Virus Studies (4 papers), Mycobacterium research and diagnosis (2 papers), HIV/AIDS Research and Interventions (2 papers), COVID-19 Clinical Research Studies (2 papers), Hepatitis C virus research (2 papers), Allergic Rhinitis and Sensitization (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (432 citations), Neurology (158 citations), Ophthalmology (45 citations), Hepatology (33 citations) and Epidemiology (118 citations). Danping Liu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Dan Huang, Jun Chen, Hongzhou Lu, Yinzhong Shen, Li Liu, Lu Xia, Dandan Zhang, Zhiping Qian, Shuli Song and Yun Ling. Their work appears in journals such as International Journal of Infectious Diseases, Open Forum Infectious Diseases, Frontiers in Public Health, Journal of Gastroenterology and Hepatology and Dermatologic Therapy.
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.