Weisheng Feng

5.2k total citations
336 papers, 4.0k citations indexed

About

Weisheng Feng is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Weisheng Feng has authored 336 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Molecular Biology, 115 papers in Plant Science and 60 papers in Pharmacology. Recurrent topics in Weisheng Feng's work include Phytochemistry and Biological Activities (93 papers), Natural product bioactivities and synthesis (89 papers) and Biological Activity of Diterpenoids and Biflavonoids (30 papers). Weisheng Feng is often cited by papers focused on Phytochemistry and Biological Activities (93 papers), Natural product bioactivities and synthesis (89 papers) and Biological Activity of Diterpenoids and Biflavonoids (30 papers). Weisheng Feng collaborates with scholars based in China, South Korea and Hong Kong. Weisheng Feng's co-authors include Xiaoke Zheng, Mengnan Zeng, Beibei Zhang, Yan-Gang Cao, Benke Li, Yuxuan Kan, Yong‐Gang Xia, Bing‐You Yang, Peipei Yuan and Haixue Kuang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of The Electrochemical Society.

In The Last Decade

Weisheng Feng

318 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weisheng Feng China 31 2.0k 955 463 462 384 336 4.0k
Xiaoke Zheng China 31 2.1k 1.0× 756 0.8× 416 0.9× 375 0.8× 326 0.8× 343 4.3k
Bonglee Kim South Korea 39 2.5k 1.2× 624 0.7× 480 1.0× 545 1.2× 545 1.4× 283 5.3k
Ashraf B. Abdel‐Naim Egypt 37 1.3k 0.7× 553 0.6× 540 1.2× 436 0.9× 390 1.0× 168 4.2k
Omar Noel Medina‐Campos Mexico 41 1.6k 0.8× 1.2k 1.3× 493 1.1× 329 0.7× 395 1.0× 119 4.8k
Shun‐Wan Chan Hong Kong 40 1.9k 0.9× 1.0k 1.1× 597 1.3× 687 1.5× 587 1.5× 123 4.4k
Ya‐Nan Yang China 32 1.9k 1.0× 1.1k 1.1× 352 0.8× 371 0.8× 277 0.7× 175 3.4k
Syam Mohan Saudi Arabia 34 1.1k 0.5× 825 0.9× 458 1.0× 508 1.1× 342 0.9× 146 3.4k
Mingquan Guo China 32 1.5k 0.7× 895 0.9× 523 1.1× 277 0.6× 392 1.0× 138 3.6k
Chunjie Wu China 33 1.7k 0.8× 703 0.7× 709 1.5× 562 1.2× 396 1.0× 142 4.2k
Siwang Wang China 37 1.8k 0.9× 518 0.5× 579 1.3× 617 1.3× 398 1.0× 169 4.2k

Countries citing papers authored by Weisheng Feng

Since Specialization
Citations

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

Fields of papers citing papers by Weisheng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weisheng Feng. 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 Weisheng Feng. The network helps show where Weisheng Feng may publish in the future.

Co-authorship network of co-authors of Weisheng Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Weisheng Feng. A scholar is included among the top collaborators of Weisheng Feng 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 Weisheng Feng. Weisheng Feng 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
1.
Niu, Yingjie, Yanling Liu, Yan-Gang Cao, et al.. (2025). Chemical constituents from the stems of Ephedra intermedia and their α-glucosidase and AChE inhibitory effects. Fitoterapia. 182. 106433–106433.
2.
Zeng, Mengnan, Ru Wang, Mengya Wang, et al.. (2024). (−)-Epigallocatechin-3-gallate (EGCG) ameliorates ovalbumin-induced asthma by inhibiting inflammation via the TNF-α/TNF-R1/NLRP3 signaling pathway. International Immunopharmacology. 144. 113708–113708. 7 indexed citations
3.
Cao, Yan-Gang, Yingjie Ren, Mengnan Zeng, et al.. (2024). Two new lignans from the fresh roots of Zhongsheng No.1 Rehmannia glutinosa. Phytochemistry Letters. 61. 40–43. 2 indexed citations
4.
Yuan, Peipei, et al.. (2024). Eugenol Nanoparticles Ameliorate Doxorubicin-Induced Spermatogenic Dysfunction by Inhibiting the PINK1/Parkin and BNIP3/NIX Signaling Pathways. International Journal of Nanomedicine. Volume 19. 13287–13300. 4 indexed citations
5.
Cao, Bing, Mengnan Zeng, Zhi‐You Hao, et al.. (2024). Cornus officinalis Sieb. Et Zucc. attenuates Aβ25–35-induced mitochondrial damage and neuroinflammation in mice by modulating the ERK pathway. Phytomedicine. 129. 155709–155709. 10 indexed citations
7.
Hao, Zhi‐You, Xiaolan Wang, Hui Chen, et al.. (2024). Chemical Constituents of the Fruits of Cornus Officinalis and Evaluation of their Neuroprotective Activity. Chemistry & Biodiversity. 21(7). e202400635–e202400635. 3 indexed citations
8.
Liu, Yanling, Yan-Gang Cao, Yingjie Niu, et al.. (2023). Diarylpentanoids and phenylpropanoids from the roots of Anthriscus sylvestris (L.) Hoffm. Phytochemistry. 216. 113865–113865. 6 indexed citations
10.
Zhang, Yajing, Mingda Wang, Liquan Wang, et al.. (2023). Molecular dynamics simulation and non-isothermal crystallization kinetics of polyamide 4 and different bio-based polyamide blends. Physical Chemistry Chemical Physics. 25(37). 25309–25321. 2 indexed citations
11.
Mi, Xia, Chao Pi, Weisheng Feng, & Xiuling Cui. (2022). Recent progress in the application of iodonium ylides in organic synthesis. Organic Chemistry Frontiers. 9(24). 6999–7015. 49 indexed citations
12.
Wang, Ru, Bo Yang, Beibei Zhang, et al.. (2022). A new amide alkaloid induces the apoptosis of human melanoma A375 cellsviainhibition of the STAT3 signaling pathway. New Journal of Chemistry. 47(1). 120–130. 1 indexed citations
13.
Yuan, Peipei, Ying Hou, Liyuan Gao, et al.. (2022). Acacetin inhibits myocardial mitochondrial dysfunction by activating PI3K/AKT in SHR rats fed with fructose. Journal of Natural Medicines. 77(2). 262–275. 7 indexed citations
14.
15.
Yuan, Peipei, Yan-Gang Cao, Yingying Ke, et al.. (2020). Geniposide in Gardenia jasminoides var. radicans Makino modulates blood pressure via inhibiting WNK pathway mediated by the estrogen receptors. Journal of Pharmacy and Pharmacology. 72(12). 1956–1969. 9 indexed citations
16.
Cao, Yan-Gang, Mengnan Zeng, Yingjie Ren, et al.. (2020). Renoprotective Mono- and Triterpenoids from the Fruit of Gardenia jasminoides. Journal of Natural Products. 83(4). 1118–1130. 25 indexed citations
17.
Kan, Yuxuan, Mengnan Zeng, Beibei Zhang, et al.. (2020). Corallodiscus flabellata B.L. Burtt Extracts Stimulate Diuretic Activity and Regulate the Renal Expression of Aquaporins. Evidence-based Complementary and Alternative Medicine. 2020(1). 6020817–6020817. 3 indexed citations
18.
Zhao, Zhen‐Zhu, Weisheng Feng, Ya Wu, et al.. (2019). Unusual constituents from the medicinal mushroomGanoderma lingzhi. RSC Advances. 9(63). 36931–36939. 7 indexed citations
19.
Zeng, Mengnan, Beibei Zhang, Benke Li, et al.. (2019). Adenosine Attenuates LPS-Induced Cardiac Dysfunction by Inhibition of Mitochondrial Function via the ER Pathway. Evidence-based Complementary and Alternative Medicine. 2019. 1–10. 12 indexed citations
20.
Zhao, Yingying, et al.. (2019). Evaluation of the estrogenic effects of rehmapicrogenin.. Yaoxue xuebao. 54(2). 308–312. 2 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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