Ping Wang
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in
-
- RNA modifications and cancer 30
- Circular RNAs in diseases 26
- RNA Research and Splicing 14
-
- Cancer-related molecular mechanisms research 59
- MicroRNA in disease regulation 29
- Co-authors
- Yixue Xue (35 shared papers)Yunhui Liu (26 shared papers)Jun Ma (15 shared papers)Zhen Li (13 shared papers)Zhiqing Li (10 shared papers)Jian Zheng (9 shared papers)Yilong Yao (11 shared papers)Yunhui Liu (9 shared papers)
- Journals
- Oncotarget (16 papers)Frontiers in Oncology (9 papers)BMC Cancer (7 papers)Aging (6 papers)Scientific Reports (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ping Wang
182 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 2.4k
- Molecular Biology 2.7k
- Oncology 572
- Neurology 156
- Pulmonary and Respiratory Medicine 540
Countries citing papers authored by Ping Wang
This map shows the geographic impact of Ping Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wang more than expected).
Fields of papers citing papers by Ping Wang
This network shows the impact of papers produced by Ping Wang. 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 Wang. The network helps show where Ping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Wang, 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 308 | |
| 2 | 2016 | 206 | |
| 3 | 2014 | 183 | |
| 4 | 2014 | 182 | |
| 5 | 2017 | 161 | |
| 6 | 2015 | 151 | |
| 7 | 2015 | 133 | |
| 8 | 2018 | 121 | |
| 9 | 2015 | 114 | |
| 10 | 2014 | 83 | |
| 11 | 2017 | 81 | |
| 12 | 2016 | 79 | |
| 13 | 2015 | 76 | |
| 14 | 2016 | 67 | |
| 15 | 2015 | 65 | |
| 16 | 2020 | 63 | |
| 17 | 2016 | 60 | |
| 18 | 2018 | 59 | |
| 19 | 2014 | 58 | |
| 20 | 2014 | 57 |
About Ping Wang
Ping Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 186 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (59 papers), RNA modifications and cancer (30 papers), MicroRNA in disease regulation (29 papers), Circular RNAs in diseases (26 papers), Lung Cancer Research Studies (16 papers), RNA Research and Splicing (14 papers), Esophageal Cancer Research and Treatment (12 papers) and Lung Cancer Treatments and Mutations (10 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (2.7k citations), Oncology (572 citations), Neurology (156 citations) and Pulmonary and Respiratory Medicine (540 citations). Ping Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yixue Xue, Yunhui Liu, Jun Ma, Zhen Li, Zhiqing Li, Jian Zheng, Yilong Yao, Yunhui Liu, Zhiyong Yuan and Zhenhua Wang. Their work appears in journals such as Oncotarget, Frontiers in Oncology, BMC Cancer, Aging and Scientific Reports.
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.