Ping Yu
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
Ping Yu
39 papers receiving 960 citations
Peers
Comparison fields: 5 of 123
- Modeling and Simulation 162
- Infectious Diseases 374
- Genetics 152
- General Dentistry 20
- Neurology 91
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 1 | |
| 8 | Preliminary Analysis of Secreted Proteins of Phytophthora infestans Under Nitrogen Starvation Condition Based on Label Free Quantitative Proteomics | 2019 | 0 |
| 9 | 2019 | 37 | |
| 10 | 2017 | 25 | |
| 11 | [Analysis of evolution features of whole genome of influenza virus H3N2 in Qingdao between year 2007 and 2011]. | 2013 | 1 |
| 12 | 2013 | 1 | |
| 13 | 2010 | 1 | |
| 14 | Foreign Direct Investment and Economic Growth in China: Evidence from a Two-Sector Model | 2010 | 2 |
| 15 | Effect of elevator ride on human′s heart rate | 2008 | 1 |
| 16 | 2006 | 6 | |
| 17 | 2006 | 3 | |
| 18 | 2006 | 3 | |
| 19 | 2002 | 23 | |
| 20 | 2002 | 21 |
About Ping Yu
Ping Yu is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Modeling and Simulation, Nephrology and Genetics, having authored 44 papers that have together received 995 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), Influenza Virus Research Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), Respiratory viral infections research (3 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). The work is most often cited by research in Modeling and Simulation (162 citations), Infectious Diseases (374 citations), Genetics (152 citations), General Dentistry (20 citations) and Neurology (91 citations). Ping Yu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Yingjun Han, Zhengdong Zhang, Zhu Jiang, Yanying Liu, Shiyao Wang, Jianping Guo, Zhanguo Li, Rong Mu, Xiaoping Zhang and Dapeng Wang. Their work appears in journals such as Virus Research, Clinical Rheumatology, Infection Genetics and Evolution, Frontiers in Psychiatry and Evaluation and Program Planning.
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.