Ping Yu
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
- Co-authors
- Zhengdong Zhang (1 shared paper)Zhu Jiang (1 shared paper)Yingjun Han (1 shared paper)Zhanguo Li (2 shared papers)Jianping Guo (2 shared papers)Shiyao Wang (2 shared papers)Yanying Liu (3 shared papers)Rong Mu (2 shared papers)
- Journals
- Clinical Rheumatology (2 papers)Infection Genetics and Evolution (2 papers)Virus Research (2 papers)BMC Pregnancy and Childbirth (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Ping Yu
40 papers receiving 976 citations
Peers
Comparison fields: 5 of 119
- Modeling and Simulation 135
- Infectious Diseases 308
- Genetics 146
- General Dentistry 16
- Neurology 66
Countries citing papers authored by Ping Yu
This map shows the geographic impact of Ping Yu'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 Ping Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Yu more than expected).
Fields of papers citing papers by Ping Yu
This network shows the impact of papers produced by Ping Yu. 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 Ping Yu. The network helps show where Ping Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Yu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 479 | |
| 2 | 2010 | 181 | |
| 3 | 2019 | 36 | |
| 4 | 2017 | 27 | |
| 5 | 2010 | 26 | |
| 6 | 2002 | 23 | |
| 7 | 2002 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2010 | 18 | |
| 10 | 2023 | 16 | |
| 11 | 2024 | 15 | |
| 12 | 2007 | 14 | |
| 13 | [Detection of insertion/deletion polymorphism of angiotensin converting enzyme gene in preeclampsia]. | 1999 | 13 |
| 14 | 2015 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2007 | 7 | |
| 20 | 2004 | 7 |
About Ping Yu
Ping Yu is a scholar working on Surgery, Genetics, Infectious Diseases, Molecular Biology and Epidemiology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Xenotransplantation and immune response (8 papers), Virus-based gene therapy research (6 papers), Animal Genetics and Reproduction (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), COVID-19 epidemiological studies (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Modeling and Simulation (135 citations), Infectious Diseases (308 citations), Genetics (146 citations), General Dentistry (16 citations) and Neurology (66 citations). Ping Yu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Zhengdong Zhang, Zhu Jiang, Yingjun Han, Zhanguo Li, Jianping Guo, Shiyao Wang, Yanying Liu, Rong Mu, Hu Li and Xiaoping Zhang. Their work appears in journals such as Clinical Rheumatology, Infection Genetics and Evolution, Virus Research, BMC Pregnancy and Childbirth and International Journal of Infectious Diseases.
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.