Run‐Zhu Fan

700 total citations
34 papers, 547 citations indexed

About

Run‐Zhu Fan is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Run‐Zhu Fan has authored 34 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Pharmacology and 8 papers in Pharmacology. Recurrent topics in Run‐Zhu Fan's work include Bioactive Natural Diterpenoids Research (15 papers), Phytochemistry and Biological Activities (7 papers) and Marine Sponges and Natural Products (7 papers). Run‐Zhu Fan is often cited by papers focused on Bioactive Natural Diterpenoids Research (15 papers), Phytochemistry and Biological Activities (7 papers) and Marine Sponges and Natural Products (7 papers). Run‐Zhu Fan collaborates with scholars based in China, Hong Kong and United States. Run‐Zhu Fan's co-authors include Sheng Yin, Gui‐Hua Tang, Jun Sang, Jia-Luo Huang, Lu Gan, Xue‐Long Yan, Wei Li, Hongjuan Diao, Wei Li and Hou‐Jin Li and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Run‐Zhu Fan

34 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Run‐Zhu Fan China 16 348 110 103 97 67 34 547
Yuzhuo Wu China 13 231 0.7× 117 1.1× 150 1.5× 78 0.8× 70 1.0× 51 507
Jun-Shan Liu China 15 484 1.4× 99 0.9× 99 1.0× 63 0.6× 75 1.1× 26 731
Jia-Luo Huang China 12 308 0.9× 65 0.6× 48 0.5× 85 0.9× 32 0.5× 36 398
Suyu Gao China 16 415 1.2× 58 0.5× 96 0.9× 68 0.7× 53 0.8× 25 631
Amara Maryam China 13 388 1.1× 77 0.7× 55 0.5× 70 0.7× 50 0.7× 18 675
Sarita Saraswati India 16 398 1.1× 149 1.4× 110 1.1× 70 0.7× 44 0.7× 26 716
Zhiying Weng China 14 398 1.1× 136 1.2× 83 0.8× 143 1.5× 53 0.8× 42 578
Sanjeev Meena India 19 478 1.4× 59 0.5× 86 0.8× 110 1.1× 283 4.2× 35 933
Sachiko Takaishi Japan 11 306 0.9× 59 0.5× 54 0.5× 55 0.6× 66 1.0× 11 525

Countries citing papers authored by Run‐Zhu Fan

Since Specialization
Citations

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

Fields of papers citing papers by Run‐Zhu Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Run‐Zhu Fan. 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 Run‐Zhu Fan. The network helps show where Run‐Zhu Fan may publish in the future.

Co-authorship network of co-authors of Run‐Zhu Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Run‐Zhu Fan. A scholar is included among the top collaborators of Run‐Zhu Fan 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 Run‐Zhu Fan. Run‐Zhu Fan 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.
Chen, Jiaqian, Shen Li, Run‐Zhu Fan, et al.. (2024). Talaesthanes A–C, three new meroterpenoids from the endophytic fungus Talaromyces primulinus H21. Fitoterapia. 177. 106085–106085. 4 indexed citations
2.
Gan, Lu, Qiwei Jiang, Xueji Wu, et al.. (2024). A natural small molecule alleviates liver fibrosis by targeting apolipoprotein L2. Nature Chemical Biology. 21(1). 80–90. 19 indexed citations
3.
Tan, Qi, Run‐Zhu Fan, Wencong Yang, et al.. (2023). (+)/(−)-Mycosphatide A, a pair of highly oxidized polyketides with lipid-lowering activity from the mangrove endophytic fungus Mycosphaerella sp. SYSU-DZG01. Chinese Chemical Letters. 35(9). 109390–109390. 5 indexed citations
4.
Huang, Jia-Luo, Xue‐Long Yan, Dong Huang, et al.. (2023). Discovery of a highly potent and orally available importin-β1 inhibitor that overcomes enzalutamide-resistance in advanced prostate cancer. Acta Pharmaceutica Sinica B. 13(12). 4934–4944. 6 indexed citations
5.
Yan, Xue‐Long, Run‐Zhu Fan, Qinqin Song, et al.. (2023). Discovery of the First Raptor (Regulatory-Associated Protein of mTOR) Inhibitor as a New Type of Antiadipogenic Agent. Journal of Medicinal Chemistry. 66(8). 5839–5858. 15 indexed citations
6.
Yuan, Fang-Yu, Xue‐Long Yan, Dong Huang, et al.. (2023). Diversity of sesquiterpenoids from Stellera chamaejasme with neuroprotective effects. Phytochemistry. 208. 113588–113588. 5 indexed citations
7.
Yuan, Fang-Yu, Dong Huang, Wei Li, et al.. (2022). Tigliane and rhamnofolane glycosides from Euphorbia wallichii prevent oxidative stress-induced neuronal death in PC-12 cells. Bioorganic Chemistry. 128. 106103–106103. 9 indexed citations
8.
Sang, Jun, Wei Li, Hongjuan Diao, et al.. (2021). Jolkinolide B targets thioredoxin and glutathione systems to induce ROS-mediated paraptosis and apoptosis in bladder cancer cells. Cancer Letters. 509. 13–25. 68 indexed citations
9.
Sang, Jun, Lu Gan, Run‐Zhu Fan, et al.. (2021). Jolkinolide B sensitizes bladder cancer to mTOR inhibitors via dual inhibition of Akt signaling and autophagy. Cancer Letters. 526. 352–362. 32 indexed citations
10.
She, Zhi‐Gang, Lu Gan, Yang Tian, et al.. (2021). Presegetane diterpenoids from Euphorbia sieboldiana as a new type of anti-liver fibrosis agents that inhibit TGF-β/Smad signaling pathway. Bioorganic Chemistry. 114. 105222–105222. 12 indexed citations
11.
Fan, Run‐Zhu, Lin Chen, Tong Su, et al.. (2021). Discovery of 8,9-seco-ent-Kaurane Diterpenoids as Potential Leads for the Treatment of Triple-Negative Breast Cancer. Journal of Medicinal Chemistry. 64(14). 9926–9942. 16 indexed citations
12.
Yan, Xue‐Long, et al.. (2020). Euphanoids A and B, two new lathyrane diterpenoids with nitric oxide (NO) inhibitory activity from Euphorbia kansuensis. Natural Product Research. 35(22). 4402–4408. 11 indexed citations
13.
Luo, Siyuan, et al.. (2020). Euphane- and 19(10 → 9)abeo-euphane-type triterpenoids from Jatropha gossypiifolia. Fitoterapia. 143. 104582–104582. 11 indexed citations
14.
Li, Jianheng, Baijiao An, Chun Chen, et al.. (2020). Design, synthesis and biological evaluation of novel 2,4-diaryl pyrimidine derivatives as selective EGFRL858R/T790M inhibitors. European Journal of Medicinal Chemistry. 212. 113019–113019. 27 indexed citations
15.
Fan, Run‐Zhu, Aiping Yin, Abrar Ahmed, et al.. (2020). Flavonoids with anti-inflammatory activities from Daphne giraldii. Arabian Journal of Chemistry. 14(2). 102962–102962. 14 indexed citations
16.
Sang, Jun, Xue‐Long Yan, Run‐Zhu Fan, et al.. (2020). Diterpenoids from Euphorbia royleana reverse P-glycoprotein-mediated multidrug resistance in cancer cells. Phytochemistry. 176. 112395–112395. 32 indexed citations
17.
Fan, Run‐Zhu, et al.. (2020). Euphoresulanes A–M, structurally diverse jatrophane diterpenoids from Euphorbia esula. Bioorganic Chemistry. 98. 103763–103763. 10 indexed citations
18.
Zhang, Yao, Run‐Zhu Fan, Jun Sang, et al.. (2019). Ingol diterpenoids as P-glycoprotein-dependent multidrug resistance (MDR) reversal agents from Euphorbia marginata. Bioorganic Chemistry. 95. 103546–103546. 18 indexed citations
19.
Zhang, Jian, Xiao‐Jun Huang, Ren‐Wang Jiang, et al.. (2016). Melohemsines A-I, melodinus-type alkaloids from Melodinus hemsleyanus. RSC Advances. 6(95). 92218–92224. 25 indexed citations
20.

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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