Ping Wan
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
- Cell Biology 11
- Cellular Mechanics and Interactions 6
- Cellular transport and secretion 5
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- Developmental Biology and Gene Regulation 5
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Jiong Chen (11 shared papers)Aiping Bai (4 shared papers)Yuan Guo (4 shared papers)Yuping Ren (3 shared papers)Yougen Wu (1 shared paper)Gong She Yang (1 shared paper)Lili Lu (1 shared paper)Jingshu Wang (1 shared paper)
- Journals
- Frontiers in Psychiatry (3 papers)Development (3 papers)Cell Death and Disease (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ping Wan
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Physiology 39
- Cell Biology 97
- Genetics 185
- Molecular Biology 364
- Cancer Research 65
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 | 78 | |
| 4 | 2016 | 72 | |
| 5 | 2016 | 65 | |
| 6 | 2006 | 58 | |
| 7 | 2011 | 50 | |
| 8 | 2005 | 43 | |
| 9 | 2019 | 39 | |
| 10 | 2019 | 39 | |
| 11 | 2012 | 36 | |
| 12 | 2016 | 34 | |
| 13 | 2012 | 33 | |
| 14 | 2014 | 33 | |
| 15 | 2012 | 32 | |
| 16 | 2019 | 32 | |
| 17 | 2015 | 28 | |
| 18 | 2013 | 27 | |
| 19 | 2011 | 26 | |
| 20 | 2018 | 26 |
About Ping Wan
Ping Wan is a scholar working on Cell Biology, Molecular Biology, Pharmacology, Genetics and Pharmacology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Cellular transport and secretion (5 papers), Developmental Biology and Gene Regulation (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Treatment of Major Depression (3 papers), Neural and Behavioral Psychology Studies (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Physiology (39 citations), Cell Biology (97 citations), Genetics (185 citations), Molecular Biology (364 citations) and Cancer Research (65 citations). Ping Wan has collaborated with scholars based in China, United States and France. Frequent co-authors include Jiong Chen, Aiping Bai, Yuan Guo, Yuping Ren, Yougen Wu, Gong She Yang, Lili Lu, Jingshu Wang, Jing Wu and Bin Fan. Their work appears in journals such as Frontiers in Psychiatry, Development, Cell Death and Disease, Scientific Reports and PLoS ONE.
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.