Gen-Chun Wang

506 total citations
14 papers, 404 citations indexed

About

Gen-Chun Wang is a scholar working on Molecular Biology, Pharmacology and Infectious Diseases. According to data from OpenAlex, Gen-Chun Wang has authored 14 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pharmacology and 4 papers in Infectious Diseases. Recurrent topics in Gen-Chun Wang's work include Berberine and alkaloids research (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Gen-Chun Wang is often cited by papers focused on Berberine and alkaloids research (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Gen-Chun Wang collaborates with scholars based in China. Gen-Chun Wang's co-authors include Guo‐Ying Zuo, Jun Han, Yuqing Li, Yunling Zhang, Wang ChunJuan, Yuqing Li, Xiao‐Yan Hao, Yang Li, Weidong Pan and Yu‐Liang Xiong and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Journal of Pharmacy and Pharmacology.

In The Last Decade

Gen-Chun Wang

14 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gen-Chun Wang China 12 191 108 101 92 73 14 404
Gil Belofsky United States 10 188 1.0× 56 0.5× 70 0.7× 99 1.1× 47 0.6× 14 376
Mehmet Ataş Türkiye 11 191 1.0× 95 0.9× 121 1.2× 145 1.6× 48 0.7× 41 507
Nur Kusaira Khairul Ikram Malaysia 14 313 1.6× 129 1.2× 90 0.9× 186 2.0× 99 1.4× 36 703
Keivan A. Ettefagh United States 7 149 0.8× 95 0.9× 79 0.8× 87 0.9× 64 0.9× 7 358
Carine Ganem‐Elbaz France 8 266 1.4× 92 0.9× 61 0.6× 59 0.6× 32 0.4× 8 464
Prasenjit Rudrapaul India 6 217 1.1× 89 0.8× 62 0.6× 107 1.2× 37 0.5× 7 376
Hiyas A. Junio Philippines 7 152 0.8× 87 0.8× 82 0.8× 97 1.1× 59 0.8× 12 337
Olga Leuner Czechia 11 122 0.6× 40 0.4× 122 1.2× 146 1.6× 53 0.7× 19 376
Razan Hamoud Germany 9 169 0.9× 76 0.7× 173 1.7× 156 1.7× 53 0.7× 10 440
Noohi Nasim India 9 167 0.9× 36 0.3× 153 1.5× 154 1.7× 96 1.3× 12 468

Countries citing papers authored by Gen-Chun Wang

Since Specialization
Citations

This map shows the geographic impact of Gen-Chun 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 Gen-Chun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen-Chun Wang more than expected).

Fields of papers citing papers by Gen-Chun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen-Chun 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 Gen-Chun Wang. The network helps show where Gen-Chun Wang may publish in the future.

Co-authorship network of co-authors of Gen-Chun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gen-Chun Wang. A scholar is included among the top collaborators of Gen-Chun 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 Gen-Chun Wang. Gen-Chun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Zuo, Guo‐Ying, et al.. (2019). Potent anti-MRSA activity and synergism with aminoglycosides by flavonoid derivatives from the root barks of Morus alba, a traditional Chinese medicine. Medicinal Chemistry Research. 28(9). 1547–1556. 11 indexed citations
2.
3.
Zuo, Guo‐Ying, et al.. (2017). Synergism of prenylflavonoids from Morus alba root bark against clinical MRSA isolates. Phytomedicine. 39. 93–99. 46 indexed citations
4.
Zuo, Guo‐Ying, Wang ChunJuan, Jun Han, Yuqing Li, & Gen-Chun Wang. (2016). Synergism of coumarins from the Chinese drug Zanthoxylum nitidum with antibacterial agents against methicillin-resistant Staphylococcus aureus (MRSA). Phytomedicine. 23(14). 1814–1820. 43 indexed citations
5.
6.
Zuo, Guo‐Ying, et al.. (2015). In vitro synergism of magnolol and honokiol in combination with antibacterial agents against clinical isolates of methicillin-resistant Staphylococcus aureus (MRSA). BMC Complementary and Alternative Medicine. 15(1). 425–425. 38 indexed citations
8.
Zuo, Guo‐Ying, et al.. (2013). Synergistic effects of berberines with antibiotics on clinical multi-drug resistant isolates of methicillin-resistant Staphylococcus aureus (MRSA). Medicinal Chemistry Research. 23(5). 2439–2444. 5 indexed citations
9.
Zuo, Guo‐Ying, et al.. (2012). Isojacareubin from the Chinese Herb Hypericum japonicum: Potent Antibacterial and Synergistic Effects on Clinical Methicillin-Resistant Staphylococcus aureus (MRSA). International Journal of Molecular Sciences. 13(7). 8210–8218. 26 indexed citations
10.
13.
Zuo, Guo‐Ying, Jun Han, Xiao‐Yan Hao, et al.. (2011). In Vitro Activity of Plant Extracts and Alkaloids against Clinical Isolates of Extended-Spectrum b-Lactamase (ESBL)-Producing Strains. Molecules. 16(7). 5453–5459. 13 indexed citations
14.
Jin, Yang, Jianbo Wu, Yonghong Jia, et al.. (2009). Purification and characterization of a new l-amino acid oxidase from Daboia russellii siamensis venom. Toxicon. 54(6). 763–771. 42 indexed citations

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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