Ping Wan
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Genomics and Phylogenetic Studies 3
- Muscle Physiology and Disorders 3
- Developmental Biology and Gene Regulation 3
- RNA Research and Splicing 3
- Metabolomics and Mass Spectrometry Studies 3
- Genomics and Chromatin Dynamics 2
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- Cellular Mechanics and Interactions 5
- Co-authors
- Jiong Chen (11 shared papers)Jun Luo (7 shared papers)Yuan Guo (4 shared papers)Aiping Bai (4 shared papers)Yuping Ren (3 shared papers)Gong She Yang (1 shared paper)Yougen Wu (1 shared paper)Jingshu Wang (1 shared paper)
- Journals
- Development (3 papers)Frontiers in Psychiatry (3 papers)Cell Death and Disease (2 papers)PROTEOMICS (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Wan
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Physiology 49
- Cancer Research 126
- Molecular Biology 530
- Cell Biology 123
- Immunology 116
Countries citing papers authored by Ping Wan
This map shows the geographic impact of Ping Wan'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 Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wan more than expected).
Fields of papers citing papers by Ping Wan
This network shows the impact of papers produced by Ping Wan. 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 Wan. The network helps show where Ping Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Wan, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 125 | |
| 2 | 2007 | 117 | |
| 3 | 2004 | 79 | |
| 4 | 2016 | 71 | |
| 5 | 2016 | 64 | |
| 6 | 2006 | 58 | |
| 7 | 2011 | 50 | |
| 8 | 2005 | 44 | |
| 9 | 2019 | 39 | |
| 10 | 2019 | 38 | |
| 11 | 2012 | 36 | |
| 12 | 2016 | 34 | |
| 13 | 2014 | 33 | |
| 14 | 2012 | 33 | |
| 15 | 2019 | 32 | |
| 16 | 2012 | 32 | |
| 17 | 2015 | 28 | |
| 18 | 2018 | 27 | |
| 19 | 2013 | 27 | |
| 20 | 2019 | 26 |
About Ping Wan
Ping Wan is a scholar working on Molecular Biology, Cell Biology, Physiology, Cancer Research and Immunology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Genomics and Phylogenetic Studies (3 papers), Muscle Physiology and Disorders (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA Research and Splicing (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Functional Brain Connectivity Studies (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Physiology (49 citations), Cancer Research (126 citations), Molecular Biology (530 citations), Cell Biology (123 citations) and Immunology (116 citations). Ping Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiong Chen, Jun Luo, Yuan Guo, Aiping Bai, Yuping Ren, Gong She Yang, Yougen Wu, Jingshu Wang, Jing Wu and Lili Lu. Their work appears in journals such as Development, Frontiers in Psychiatry, Cell Death and Disease, PROTEOMICS 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.