Ping Wan
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
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- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 3
- Machine Learning in Bioinformatics 3
- Developmental Biology and Gene Regulation 3
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- Cellular Mechanics and Interactions 5
- Cellular transport and secretion 4
- 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)Jing Wu (2 shared papers)Gong Yang (1 shared paper)Dandan Chu (4 shared papers)
- Journals
- Frontiers in Psychiatry (3 papers)Development (3 papers)Scientific Reports (2 papers)Journal of Biological Chemistry (2 papers)Neuroscience Bulletin (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Wan
46 papers receiving 998 citations
Peers
Comparison fields: 5 of 116
- Physiology 51
- Cancer Research 145
- Cell Biology 132
- Molecular Biology 512
- Pharmacology 50
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 | 2007 | 114 | |
| 2 | 2017 | 112 | |
| 3 | 2016 | 68 | |
| 4 | 2016 | 62 | |
| 5 | 2006 | 56 | |
| 6 | 2011 | 50 | |
| 7 | 2005 | 43 | |
| 8 | 2012 | 35 | |
| 9 | 2019 | 33 | |
| 10 | 2014 | 32 | |
| 11 | 2016 | 32 | |
| 12 | 2012 | 31 | |
| 13 | 2019 | 31 | |
| 14 | 2012 | 29 | |
| 15 | 2015 | 27 | |
| 16 | 2013 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2011 | 25 | |
| 19 | 2019 | 24 | |
| 20 | 2013 | 23 |
About Ping Wan
Ping Wan is a scholar working on Molecular Biology, Cell Biology, Surgery, Immunology and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Cellular transport and secretion (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Machine Learning in Bioinformatics (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Physiology (51 citations), Cancer Research (145 citations), Cell Biology (132 citations), Molecular Biology (512 citations) and Pharmacology (50 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, Jing Wu, Gong Yang, Dandan Chu, Lili Lu and Jingshu Wang. Their work appears in journals such as Frontiers in Psychiatry, Development, Scientific Reports, Journal of Biological Chemistry 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.