Yong‐Ming Yan

3.1k total citations
143 papers, 2.5k citations indexed

About

Yong‐Ming Yan is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Yong‐Ming Yan has authored 143 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 51 papers in Pharmacology and 51 papers in Plant Science. Recurrent topics in Yong‐Ming Yan's work include Fungal Biology and Applications (32 papers), Natural product bioactivities and synthesis (32 papers) and Phytochemistry and Biological Activities (27 papers). Yong‐Ming Yan is often cited by papers focused on Fungal Biology and Applications (32 papers), Natural product bioactivities and synthesis (32 papers) and Phytochemistry and Biological Activities (27 papers). Yong‐Ming Yan collaborates with scholars based in China, United States and Hong Kong. Yong‐Ming Yan's co-authors include Yong‐Xian Cheng, Yong‐Xian Cheng, Qi Luo, Fu‐Ying Qin, Zhengchao Tu, Qing Lu, Lei Di, Zhili Zuo, Ping Fang and Cheng Li-zhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and ACS Catalysis.

In The Last Decade

Yong‐Ming Yan

138 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Ming Yan China 28 1.1k 1.1k 642 499 364 143 2.5k
Yong‐Xian Cheng China 33 1.1k 1.0× 1.7k 1.6× 1.1k 1.8× 599 1.2× 502 1.4× 235 3.9k
Yong‐Xian Cheng China 27 843 0.7× 723 0.7× 413 0.6× 455 0.9× 338 0.9× 84 1.7k
Jure Stojan Slovenia 26 1.2k 1.0× 1.0k 1.0× 556 0.9× 159 0.3× 477 1.3× 96 2.5k
Cheng‐Jen Chou Taiwan 27 773 0.7× 968 0.9× 562 0.9× 290 0.6× 457 1.3× 69 2.2k
Woongchon Mar South Korea 28 413 0.4× 1.0k 1.0× 392 0.6× 217 0.4× 338 0.9× 86 2.2k
Eun Ju Jeong South Korea 26 386 0.3× 935 0.9× 491 0.8× 225 0.5× 163 0.4× 109 2.1k
Le Cai China 25 604 0.5× 1.0k 1.0× 556 0.9× 480 1.0× 254 0.7× 141 2.2k
Cheng‐Yun Jin South Korea 31 608 0.5× 1.4k 1.3× 237 0.4× 242 0.5× 419 1.2× 80 2.7k
Peng‐Fei Tu China 30 502 0.4× 1.4k 1.3× 945 1.5× 326 0.7× 231 0.6× 138 2.9k
Motoyoshi Satake Japan 28 340 0.3× 1.3k 1.3× 924 1.4× 207 0.4× 270 0.7× 110 2.2k

Countries citing papers authored by Yong‐Ming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Ming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Ming Yan. 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 Yong‐Ming Yan. The network helps show where Yong‐Ming Yan may publish in the future.

Co-authorship network of co-authors of Yong‐Ming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Ming Yan. A scholar is included among the top collaborators of Yong‐Ming Yan 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 Yong‐Ming Yan. Yong‐Ming Yan 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.
Zhu, Hongjie, Kunlong Li, Chun‐Yu Liu, et al.. (2025). Enzyme-Catalyzed Molecular Skeletal Editing: α-Pyrone to Furanone. ACS Catalysis. 15(14). 12103–12113.
2.
Fang, Hongbin, et al.. (2024). Dimeric diarylheptanoids with anti-inflammatory activity from Zingiber officinale. Phytochemistry. 219. 113975–113975. 3 indexed citations
3.
Tan, Yuzhu, et al.. (2024). Structurally diverse phthalides from fibrous roots of Ligusticum chuanxiong Hort. and their biological activities. Fitoterapia. 175. 105882–105882. 5 indexed citations
4.
Li, Yang, Lei Di, Li‐Juan Liu, et al.. (2024). A naturally derived small molecule compound suppresses tumor growth and metastasis in mice by relieving p53-dependent repression of CDK2/Rb signaling and the Snail-driven EMT. Chinese Journal of Natural Medicines. 22(2). 112–126. 2 indexed citations
5.
Yan, Yong‐Ming, et al.. (2023). Novel spirooxindole alkaloid derivatives from the medicinal insect Blaps japanensis and their biological evaluation. Bioorganic Chemistry. 141. 106845–106845. 2 indexed citations
6.
7.
Fang, Hongbin, Xiaojuan Zhang, Yong‐Ming Yan, et al.. (2023). Renoprotective Glycoside Derivatives from Zingiber officinale (Ginger) Peels. Journal of Agricultural and Food Chemistry. 71(41). 15170–15185. 4 indexed citations
8.
Zhang, Jiaojiao, et al.. (2023). Discovery of anti-SARS-CoV-2 agents from commercially available flavor <i>via</i> docking screening. SHILAP Revista de lepidopterología. 2(1). 0–0. 2 indexed citations
9.
Yan, Yong‐Ming, et al.. (2023). N-acetyldopamine derivatives from the egg cases of the insect Tenodera sinensis Saussure with COX-2 inhibitory activity. Tetrahedron. 138. 133395–133395. 1 indexed citations
10.
Chen, Yufei, Yong‐Ming Yan, Changhui Liu, et al.. (2023). Identification of arnicolide C as a novel chemosensitizer to suppress mTOR/E2F1/FANCD2 axis in non‐small cell lung cancer. British Journal of Pharmacology. 181(8). 1221–1237. 5 indexed citations
11.
Wang, Yunfei, Hong‐Bin Fang, Yong‐Ming Yan, & Yong‐Xian Cheng. (2023). Succipenoids A-C: A dimeric abietane and nor-abietane diterpenoids from fossil Chinese medicinal succinum and their anti-inflammatory potential. Phytochemistry. 215. 113835–113835. 1 indexed citations
12.
Liu, Jing, Jijun Li, Yong‐Ming Yan, Ming Bai, & Yong‐Xian Cheng. (2022). COX-2 and iNOS inhibitory abietane diterpenoids from Pinus yunnanensis exudates. Fitoterapia. 164. 105376–105376. 3 indexed citations
13.
Wang, Dawei, et al.. (2021). Isolation of Boswelliains A—E, Cembrane‐Type Diterpenoids from Boswellia papyifera, and an Evaluation of Their Wound Healing Properties. Chinese Journal of Chemistry. 39(9). 2451–2459. 9 indexed citations
14.
Song, Yingying, Jianbing Jiang, Yong‐Ming Yan, & Yong‐Xian Cheng. (2021). Isolation and identification of belamcandaoids A-N from Belamcanda chinensis seeds and their inhibition on extracellular matrix in TGF-β1 induced kidney proximal tubular cells. Bioorganic Chemistry. 114. 105067–105067. 5 indexed citations
15.
Li, Juan, Yanpeng Li, Fu‐Ying Qin, et al.. (2020). Racemic xanthine and dihydroxydopamine conjugates from Cyclopelta parva and their COX-2 inhibitory activity. Fitoterapia. 142. 104534–104534. 14 indexed citations
16.
Li, Keming, Xian Dong, Yu‐Nan Ma, et al.. (2019). Antifungal coumarins and lignans from Artemisia annua. Fitoterapia. 134. 323–328. 45 indexed citations
17.
Yan, Yong‐Ming, Hongjie Zhu, Bin Xiang, et al.. (2018). Chemical Constituents from Periplaneta americana and Their Effects on Wound Healing. Tianran chanwu yanjiu yu kaifa. 30(4). 591. 2 indexed citations
18.
Luo, Qi, et al.. (2017). New terpenoids from Resina Commiphora. Fitoterapia. 117. 147–153. 25 indexed citations
19.
Luo, Yong, Cheng Li-zhi, Qi Luo, et al.. (2017). New ursane-type triterpenoids from Clerodendranthus spicatus. Fitoterapia. 119. 69–74. 19 indexed citations
20.
Yang, Yong‐Xun, Qi Luo, Bo Hou, et al.. (2015). Periplanosides A–C: new insect-derived dihydroisocoumarin glucosides fromPeriplaneta americanastimulating collagen production in human dermal fibroblasts. Journal of Asian Natural Products Research. 17(10). 988–995. 24 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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