Penglong Wang

1.7k total citations · 1 hit paper
41 papers, 1.3k citations indexed

About

Penglong Wang is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Penglong Wang has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Pharmacology and 9 papers in Pharmacology. Recurrent topics in Penglong Wang's work include Pharmacological Effects of Natural Compounds (13 papers), Berberine and alkaloids research (7 papers) and Supramolecular Self-Assembly in Materials (5 papers). Penglong Wang is often cited by papers focused on Pharmacological Effects of Natural Compounds (13 papers), Berberine and alkaloids research (7 papers) and Supramolecular Self-Assembly in Materials (5 papers). Penglong Wang collaborates with scholars based in China. Penglong Wang's co-authors include Haimin Lei, Xuehao Tian, Xuemei Huang, Wenbo Guo, Cong Yan, Bing Xu, Gaorong Wu, Bing Xu, Xing‐Jie Liang and Feifei Li and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Penglong Wang

37 papers receiving 1.3k citations

Hit Papers

Natural Berberine-Based Chinese Herb Medicine Assembled N... 2019 2026 2021 2023 2019 100 200 300

Peers

Penglong Wang
Comparison fields: 5 of 104
  • Molecular Biology 425
  • Biomaterials 299
  • Pharmacology 264
  • Biomedical Engineering 216
  • Pharmacology 171
Xuehao Tian China
Wenbo Guo China
Zhenhai Zhang China
Mohammed Elmowafy Saudi Arabia
Bing Xu China
M. Yasmin Begum Saudi Arabia
Meihua Han China
Kriengsak Lirdprapamongkol Thailand
Michael Adu‐Frimpong China
Abid Naeem China
Xuehao Tian China View profile →
Citations per field, relative to Penglong Wang
Penglong Wang · 1×
Citations per year, relative to Penglong Wang
Penglong Wang · 1×

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-authorship network of co-authors of Penglong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Penglong Wang. A scholar is included among the top collaborators of Penglong Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Penglong Wang. Penglong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 0
3 19
4 4
5 3
6 6
7 0
8 25
9 2
10 3
11 7
12 76
13 4
14 18
15 2
16 3
17 156
18 23
19 11
20 38

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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