Ping Yu
Impact in
- Microbiology top 1%
- Reproductive tract infections research
- Immunology top 10%
- Immune Cell Function and Interaction
- Reproductive System and Pregnancy
- T-cell and B-cell Immunology
Papers in
- Immunology 17
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 8
- Reproductive System and Pregnancy 5
- Epidemiology 11
- Urinary Tract Infections Management 5
- Autophagy in Disease and Therapy 3
- Co-authors
- Huizhou Fan (1 shared paper)Guangming Zhong (4 shared papers)Yingqian Zhang (3 shared papers)Jie Wang (2 shared papers)Chunxue Lu (1 shared paper)Lei Lei (1 shared paper)Haican Liu (1 shared paper)Xiuqin Zhao (1 shared paper)
- Journals
- Human Immunology (3 papers)Biochemical and Biophysical Research Communications (2 papers)Immunology Letters (2 papers)Cell Stress and Chaperones (1 paper)Pathogens and Disease (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ping Yu
39 papers receiving 653 citations
Peers
Comparison fields: 5 of 77
- Microbiology 323
- Immunology 222
- Epidemiology 230
- Physiology 17
- Infectious Diseases 62
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 132 | |
| 2 | 2010 | 114 | |
| 3 | 2009 | 51 | |
| 4 | 2015 | 45 | |
| 5 | 2015 | 44 | |
| 6 | 2021 | 30 | |
| 7 | 2016 | 22 | |
| 8 | 2011 | 20 | |
| 9 | 2009 | 19 | |
| 10 | 2012 | 17 | |
| 11 | 2009 | 16 | |
| 12 | 2011 | 15 | |
| 13 | 2010 | 13 | |
| 14 | 2014 | 10 | |
| 15 | 2012 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2016 | 8 |
About Ping Yu
Ping Yu is a scholar working on Immunology, Epidemiology, Microbiology, Molecular Biology and Surgery, having authored 39 papers that have together received 659 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Reproductive tract infections research (10 papers), T-cell and B-cell Immunology (8 papers), Reproductive System and Pregnancy (5 papers), Urinary Tract Infections Management (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Autophagy in Disease and Therapy (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Microbiology (323 citations), Immunology (222 citations), Epidemiology (230 citations), Physiology (17 citations) and Infectious Diseases (62 citations). Ping Yu has collaborated with scholars based in China, United States and France. Frequent co-authors include Huizhou Fan, Guangming Zhong, Yingqian Zhang, Jie Wang, Chunxue Lu, Lei Lei, Haican Liu, Xiuqin Zhao, Jianlin Chen and Kanglin Wan. Their work appears in journals such as Human Immunology, Biochemical and Biophysical Research Communications, Immunology Letters, Cell Stress and Chaperones and Pathogens and Disease.
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.