Ping Yu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Biological Psychiatry top 10%
Papers in
-
- RNA modifications and cancer 4
- Plant Gene Expression Analysis 3
- Oncology 16
- HER2/EGFR in Cancer Research 4
- Colorectal Cancer Treatments and Studies 4
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Huimin Fan (10 shared papers)Peng Guo (1 shared paper)Xiaohui Zhou (5 shared papers)Liang Zheng (5 shared papers)Xinyu Ge (4 shared papers)Rulin Zhuang (4 shared papers)Zhongmin Liu (8 shared papers)Ke Li (2 shared papers)
- Journals
- BMC Cancer (5 papers)Cancer Medicine (5 papers)PLoS ONE (4 papers)Evaluation and Program Planning (4 papers)Molecules (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ping Yu
102 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 289
- Biological Psychiatry 39
- Oncology 317
- Molecular Biology 711
- Physiology 184
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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 154 | |
| 2 | 2019 | 149 | |
| 3 | 2012 | 147 | |
| 4 | 2004 | 106 | |
| 5 | 2013 | 86 | |
| 6 | 2018 | 69 | |
| 7 | 2006 | 53 | |
| 8 | 2017 | 53 | |
| 9 | 2020 | 51 | |
| 10 | 2022 | 50 | |
| 11 | 2012 | 48 | |
| 12 | 2012 | 42 | |
| 13 | 2009 | 40 | |
| 14 | 2013 | 39 | |
| 15 | 2018 | 39 | |
| 16 | 2013 | 37 | |
| 17 | 2019 | 36 | |
| 18 | 2006 | 34 | |
| 19 | 2017 | 33 | |
| 20 | 2020 | 32 |
About Ping Yu
Ping Yu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Organic Chemistry, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Gastric Cancer Management and Outcomes (4 papers), RNA modifications and cancer (4 papers), Hepatitis B Virus Studies (3 papers), Plant Gene Expression Analysis (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Cancer Research (289 citations), Biological Psychiatry (39 citations), Oncology (317 citations), Molecular Biology (711 citations) and Physiology (184 citations). Ping Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huimin Fan, Peng Guo, Xiaohui Zhou, Liang Zheng, Xinyu Ge, Rulin Zhuang, Zhongmin Liu, Ke Li, Yuzhen Zhang and Tracy Roberts. Their work appears in journals such as BMC Cancer, Cancer Medicine, PLoS ONE, Evaluation and Program Planning and Molecules.
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.