Xiao‐Ping Dong
Impact in
- Molecular Biology top 2%
- Prion Diseases and Protein Misfolding
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- Prion Diseases and Protein Misfolding 177
-
- Traditional Chinese Medicine Analysis 19
- Co-authors
- Qi Shi (144 shared papers)Jun Han (68 shared papers)Baoyun Zhang (71 shared papers)Chan Tian (62 shared papers)Cao Chen (57 shared papers)Cao Chen (41 shared papers)Kang Xiao (78 shared papers)Herbert Pfister (5 shared papers)
- Journals
- Molecular Neurobiology (23 papers)Prion (20 papers)ACS Chemical Neuroscience (9 papers)International Journal of Molecular Medicine (8 papers)PLoS ONE (8 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiao‐Ping Dong
301 papers receiving 6k citations
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.4k
- Infectious Diseases 704
- Complementary and alternative medicine 338
- Epidemiology 879
- Neurology 127
Countries citing papers authored by Xiao‐Ping Dong
This map shows the geographic impact of Xiao‐Ping 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 Xiao‐Ping Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Ping Dong more than expected).
Fields of papers citing papers by Xiao‐Ping Dong
This network shows the impact of papers produced by Xiao‐Ping 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 Xiao‐Ping Dong. The network helps show where Xiao‐Ping Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Ping 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
Showing the 20 most-cited of 306 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 418 | |
| 2 | Stability of SARS coronavirus in human specimens and environment and its sensitivity to heating and UV irradiation. | 2003 | 300 |
| 3 | 2006 | 239 | |
| 4 | 2007 | 168 | |
| 5 | 2007 | 134 | |
| 6 | 1994 | 123 | |
| 7 | 2016 | 114 | |
| 8 | 2013 | 93 | |
| 9 | 2003 | 85 | |
| 10 | 1999 | 84 | |
| 11 | 2010 | 82 | |
| 12 | 2009 | 63 | |
| 13 | 2007 | 61 | |
| 14 | 2010 | 61 | |
| 15 | 2010 | 61 | |
| 16 | 2011 | 57 | |
| 17 | 2012 | 57 | |
| 18 | 2015 | 57 | |
| 19 | 2007 | 56 | |
| 20 | 2015 | 53 |
About Xiao‐Ping Dong
Xiao‐Ping Dong is a scholar working on Molecular Biology, Complementary and alternative medicine, Epidemiology, Infectious Diseases and Modeling and Simulation, having authored 306 papers that have together received 6.2k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (177 papers), Traditional Chinese Medicine Analysis (19 papers), Cervical Cancer and HPV Research (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Influenza Virus Research Studies (8 papers), Phytochemistry and Biological Activities (7 papers), Viral Infections and Outbreaks Research (7 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Infectious Diseases (704 citations), Complementary and alternative medicine (338 citations), Epidemiology (879 citations) and Neurology (127 citations). Xiao‐Ping Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qi Shi, Jun Han, Baoyun Zhang, Chan Tian, Cao Chen, Cao Chen, Kang Xiao, Herbert Pfister, Dan Yan and Xiaohe Xiao. Their work appears in journals such as Molecular Neurobiology, Prion, ACS Chemical Neuroscience, International Journal of Molecular Medicine and PLoS ONE.
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.