Pengran Wang
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
Papers in
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- Natural product bioactivities and synthesis 6
- Phytochemical compounds biological activities 5
- Metabolomics and Mass Spectrometry Studies 4
- Retinoids in leukemia and cellular processes 2
- Oncology 3
- Co-authors
- Junsong Wang (13 shared papers)Lingyi Kong (7 shared papers)Ming‐Hua Yang (4 shared papers)Na Tian (2 shared papers)Ling‐Yi Kong (5 shared papers)Guoyu Meng (5 shared papers)Na Tian (1 shared paper)Chao Zhang (1 shared paper)
In The Last Decade
Pengran Wang
22 papers receiving 605 citations
Peers
Comparison fields: 5 of 76
- Complementary and alternative medicine 112
- Pharmacology 82
- Neurology 60
- Molecular Biology 424
- Cancer Research 66
Countries citing papers authored by Pengran Wang
This map shows the geographic impact of Pengran 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 Pengran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengran Wang more than expected).
Fields of papers citing papers by Pengran Wang
This network shows the impact of papers produced by Pengran 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 Pengran Wang. The network helps show where Pengran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pengran 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 92 | |
| 2 | 2013 | 70 | |
| 3 | 2018 | 68 | |
| 4 | 2013 | 67 | |
| 5 | 2013 | 46 | |
| 6 | 2019 | 37 | |
| 7 | 2012 | 33 | |
| 8 | 2014 | 22 | |
| 9 | 2017 | 22 | |
| 10 | 2020 | 21 | |
| 11 | 2018 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2014 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2021 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 2012 | 10 | |
| 19 | 2012 | 8 | |
| 20 | 2019 | 5 |
About Pengran Wang
Pengran Wang is a scholar working on Molecular Biology, Oncology, Pharmacology, Complementary and alternative medicine and Hematology, having authored 23 papers that have together received 608 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (6 papers), Phytochemical compounds biological activities (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Traditional Chinese Medicine Analysis (3 papers), Acute Myeloid Leukemia Research (2 papers), Magnolia and Illicium research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Complementary and alternative medicine (112 citations), Pharmacology (82 citations), Neurology (60 citations), Molecular Biology (424 citations) and Cancer Research (66 citations). Pengran Wang has collaborated with scholars based in China, France and Japan. Frequent co-authors include Junsong Wang, Lingyi Kong, Ming‐Hua Yang, Na Tian, Ling‐Yi Kong, Guoyu Meng, Na Tian, Chao Zhang, Haiyan Wu and Yuwen Li. Their work appears in journals such as Fitoterapia, Journal of Pharmaceutical and Biomedical Analysis, Chemical and Pharmaceutical Bulletin, Nature Communications and Journal of Ethnopharmacology.
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.