Penglong Wang
Impact in
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
- Plant-based Medicinal Research
-
- Traditional Chinese Medicine Analysis
Papers in
- Pharmacology 24
- Pharmacological Effects of Natural Compounds 13
- Plant-based Medicinal Research 10
-
- Traditional Chinese Medicine Analysis 19
- Co-authors
- Haimin Lei (65 shared papers)Bing Xu (24 shared papers)Fuhao Chu (21 shared papers)Yu-Zhong Zhang (18 shared papers)Tao Ma (11 shared papers)Kuo Xu (9 shared papers)Mengmeng Yan (15 shared papers)Yuqin Yang (13 shared papers)
- Journals
- Molecules (16 papers)International Journal of Molecular Sciences (7 papers)European Journal of Medicinal Chemistry (4 papers)MedChemComm (3 papers)Frontiers in Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Penglong Wang
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 152
- Pharmacology 383
- Complementary and alternative medicine 290
- Toxicology 79
- Molecular Biology 841
- Biomaterials 140
Countries citing papers authored by Penglong Wang
This map shows the geographic impact of Penglong 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 Penglong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penglong Wang more than expected).
Fields of papers citing papers by Penglong Wang
This network shows the impact of papers produced by Penglong 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 Penglong Wang. The network helps show where Penglong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Penglong 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 137 | |
| 2 | 2020 | 92 | |
| 3 | 2020 | 74 | |
| 4 | 2020 | 70 | |
| 5 | 2020 | 61 | |
| 6 | 2022 | 61 | |
| 7 | 2012 | 56 | |
| 8 | 2014 | 54 | |
| 9 | 2013 | 47 | |
| 10 | 2020 | 45 | |
| 11 | 2016 | 40 | |
| 12 | 2022 | 40 | |
| 13 | 2022 | 39 | |
| 14 | 2018 | 34 | |
| 15 | 2014 | 34 | |
| 16 | 2020 | 32 | |
| 17 | 2017 | 32 | |
| 18 | 2020 | 29 | |
| 19 | 2020 | 29 | |
| 20 | 2019 | 29 |
About Penglong Wang
Penglong Wang is a scholar working on Pharmacology, Complementary and alternative medicine, Molecular Biology, Analytical Chemistry and Pharmacology, having authored 100 papers that have together received 2.0k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (19 papers), Natural product bioactivities and synthesis (16 papers), Pharmacological Effects of Natural Compounds (13 papers), Plant-based Medicinal Research (10 papers), Chromatography in Natural Products (6 papers), Neurological Disease Mechanisms and Treatments (5 papers), Bioactive natural compounds (4 papers) and Phytochemistry and Biological Activities (4 papers). The work is most often cited by research in Pharmacology (383 citations), Complementary and alternative medicine (290 citations), Toxicology (79 citations), Molecular Biology (841 citations) and Biomaterials (140 citations). Penglong Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Haimin Lei, Bing Xu, Fuhao Chu, Yu-Zhong Zhang, Tao Ma, Kuo Xu, Mengmeng Yan, Yuqin Yang, Qiang Ma and Wenqiang Yan. Their work appears in journals such as Molecules, International Journal of Molecular Sciences, European Journal of Medicinal Chemistry, MedChemComm and Frontiers in Chemistry.
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.