Penglong Wang

2.3k citations
94 papers · 1.6k · h-index 24

Impact in

Papers in

    • Natural product bioactivities and synthesis 17
    • Bioactive natural compounds 4
    • Pharmacological Effects of Natural Compounds 13
    • Plant-based Medicinal Research 10

Penglong Wang

90 papers receiving 1.5k citations

Peers

Penglong Wang
Comparison fields: 5 of 139
  • Pharmacology 366
  • Complementary and alternative medicine 267
  • Toxicology 76
  • Molecular Biology 683
  • Pharmacology 152
Replace Jong Keun Son with:
Jong Keun Son South Korea
Ran Joo Choi South Korea
Jiawen Song China
Haiyang Yu China
Haixue Kuang China
Dong Liang China
Joo‐Won Nam South Korea
Deqiang Dou China
Ui Joung Youn South Korea
Guo‐Yuan Zhu Macao
Penglong Wang relative to Jong Keun Son South Korea Jong Keun Son's profile →
Citations per field
00.5×5.5×
Jong Keun Son · 1×
Citations per year

Countries citing papers authored by Penglong Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Penglong Wang Line = papers co-authored together Penglong Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202074
2 202259
3 202057
4 201257
5 201453
6 201346
7 202240
8 202040
9 201638
10 201434
11 201834
12 202233
13 201732
14 202031
15 201929
16 201728
17 202028
18 202028
19 201527
20 201825

About Penglong Wang

Penglong Wang is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Pharmacology and Analytical Chemistry, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (19 papers), Natural product bioactivities and synthesis (17 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 Vehicle emissions and performance (4 papers). The work is most often cited by research in Pharmacology (366 citations), Complementary and alternative medicine (267 citations), Toxicology (76 citations), Molecular Biology (683 citations) and Pharmacology (152 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, Wenqiang Yan and Wenbo Guo. 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.

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