Ping Wan
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Developmental Biology and Gene Regulation 3
- RNA Research and Splicing 3
- Muscle Physiology and Disorders 3
- Machine Learning in Bioinformatics 3
- Genomics and Phylogenetic Studies 3
- Metabolomics and Mass Spectrometry Studies 2
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- Cellular Mechanics and Interactions 5
- Cellular transport and secretion 2
- Co-authors
- Jiong Chen (11 shared papers)Jun Luo (7 shared papers)Aiping Bai (4 shared papers)Yuan Guo (4 shared papers)Yuping Ren (3 shared papers)Jingshu Wang (1 shared paper)Gong Yang (1 shared paper)Jing Wu (2 shared papers)
- Journals
- Frontiers in Psychiatry (3 papers)Development (3 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Neuroscience Bulletin (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Wan
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Physiology 49
- Cancer Research 126
- Cell Biology 121
- Molecular Biology 481
- Pharmacology 47
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 121 | |
| 2 | 2007 | 116 | |
| 3 | 2016 | 71 | |
| 4 | 2016 | 64 | |
| 5 | 2006 | 57 | |
| 6 | 2011 | 50 | |
| 7 | 2005 | 44 | |
| 8 | 2012 | 35 | |
| 9 | 2019 | 34 | |
| 10 | 2016 | 34 | |
| 11 | 2012 | 33 | |
| 12 | 2012 | 33 | |
| 13 | 2019 | 32 | |
| 14 | 2014 | 32 | |
| 15 | 2015 | 27 | |
| 16 | 2018 | 27 | |
| 17 | 2013 | 26 | |
| 18 | 2011 | 26 | |
| 19 | 2019 | 24 | |
| 20 | 2013 | 23 |
About Ping Wan
Ping Wan is a scholar working on Molecular Biology, Cell Biology, Surgery, Immunology and Oncology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Developmental Biology and Gene Regulation (3 papers), RNA Research and Splicing (3 papers), Muscle Physiology and Disorders (3 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers), Cellular transport and secretion (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Physiology (49 citations), Cancer Research (126 citations), Cell Biology (121 citations), Molecular Biology (481 citations) and Pharmacology (47 citations). Ping Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiong Chen, Jun Luo, Aiping Bai, Yuan Guo, Yuping Ren, Jingshu Wang, Gong Yang, Jing Wu, Lili Lu and Yougen Wu. Their work appears in journals such as Frontiers in Psychiatry, Development, Scientific Reports, PLoS ONE and Neuroscience Bulletin.
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.