Yan-Hui Fu

2.1k total citations
100 papers, 1.8k citations indexed

About

Yan-Hui Fu is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Yan-Hui Fu has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 41 papers in Plant Science and 30 papers in Pharmacology. Recurrent topics in Yan-Hui Fu's work include Natural product bioactivities and synthesis (29 papers), Traditional and Medicinal Uses of Annonaceae (27 papers) and Alkaloids: synthesis and pharmacology (21 papers). Yan-Hui Fu is often cited by papers focused on Natural product bioactivities and synthesis (29 papers), Traditional and Medicinal Uses of Annonaceae (27 papers) and Alkaloids: synthesis and pharmacology (21 papers). Yan-Hui Fu collaborates with scholars based in China, Japan and United States. Yan-Hui Fu's co-authors include Yan-Ping Liu, Yanping Liu, Hua Tang, Lei Qiang, Xiaofei Yang, Guang‐Ying Chen, Jiaming Guo, Qinqin Liu, Zhijun Li and Xiao‐Jiang Hao and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Chemical Engineering Journal and Journal of Materials Chemistry A.

In The Last Decade

Yan-Hui Fu

95 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan-Hui Fu China 24 725 481 319 309 305 100 1.8k
Hongwei Yu China 32 2.9k 4.1× 140 0.3× 185 0.6× 140 0.5× 407 1.3× 128 3.3k
Chang‐Ri Han China 21 458 0.6× 412 0.9× 387 1.2× 146 0.5× 60 0.2× 103 1.7k
Gianluca Ottolina Italy 31 1.8k 2.5× 268 0.6× 600 1.9× 164 0.5× 113 0.4× 87 2.6k
Yin‐Chu Shen China 26 1.5k 2.1× 198 0.4× 626 2.0× 95 0.3× 105 0.3× 107 2.2k
Ângela R. Araújo Brazil 26 559 0.8× 419 0.9× 237 0.7× 111 0.4× 149 0.5× 78 1.7k
Jin‐Byung Park South Korea 33 2.4k 3.4× 130 0.3× 164 0.5× 90 0.3× 209 0.7× 116 3.0k
Zhoutong Sun China 28 2.4k 3.2× 133 0.3× 535 1.7× 303 1.0× 79 0.3× 100 3.1k
Wen‐Sen He China 24 752 1.0× 113 0.2× 149 0.5× 97 0.3× 174 0.6× 54 1.7k
Fei Cao China 28 586 0.8× 242 0.5× 774 2.4× 155 0.5× 148 0.5× 162 2.5k
Dongming Lan China 23 1.3k 1.8× 203 0.4× 244 0.8× 77 0.2× 64 0.2× 115 2.1k

Countries citing papers authored by Yan-Hui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Hui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Hui Fu. 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 Yan-Hui Fu. The network helps show where Yan-Hui Fu may publish in the future.

Co-authorship network of co-authors of Yan-Hui Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Hui Fu. A scholar is included among the top collaborators of Yan-Hui Fu 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 Yan-Hui Fu. Yan-Hui Fu 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.
Gao, Xiaowei, Xinyong Dong, Hao Song, et al.. (2025). A one-pot CRISPR-Cas12a-based assay for rapid, on-site detection of African swine fever virus. International Journal of Biological Macromolecules. 321(Pt 2). 146109–146109. 1 indexed citations
2.
Cheng, Ziqiang, Zi‐Zi Hu, Mingming Hu, et al.. (2025). A fish-gelatin-modified multifunctional hydrogel with “salt-in-water” for dendrite-free flexible zinc-ion batteries. Chemical Engineering Journal. 521. 166945–166945. 1 indexed citations
3.
Song, Hao, Xiaowei Gao, Jing Li, et al.. (2024). Development and application of an indirect ELISA for detection of antibodies against emerging atypical porcine pestivirus. Virology Journal. 21(1). 53–53.
4.
Guo, Jiaming, et al.. (2024). 2-Arylbenzofurans from the stems and leaves of Artocarpus tonkinensis and their potential antiproliferative activities. Natural Product Research. 39(18). 5387–5394.
5.
Li, Yujie, et al.. (2023). A New Prenylated Isoflavone from the Stems of Harrisonia perforata. Chinese Journal of Organic Chemistry. 43(2). 771–771.
6.
Luo, Yuzi, Li Zhang, Pengying Wang, et al.. (2021). Genotyping and Molecular Characterization of Classical Swine Fever Virus Isolated in China during 2016–2018. Viruses. 13(4). 664–664. 18 indexed citations
7.
Liu, Yanping, Yujie Li, Yingying Zhao, et al.. (2021). Carbazole alkaloids from the fruits of Clausena anisum-olens with potential PTP1B and α-glucosidase inhibitory activities. Bioorganic Chemistry. 110. 104775–104775. 17 indexed citations
8.
Fu, Yan-Hui, Jiaming Guo, Jing Hua, et al.. (2020). Structural characterization, antiproliferative and anti-inflammatory activities of alkaloids from the roots of Zanthoxylum austrosinense. Bioorganic Chemistry. 102. 104101–104101. 22 indexed citations
9.
Zhang, Yu, Masuo Goto, Akifumi Oda, et al.. (2019). Antiproliferative Aspidosperma-Type Monoterpenoid Indole Alkaloids from Bousigonia mekongensis Inhibit Tubulin Polymerization. Molecules. 24(7). 1256–1256. 18 indexed citations
10.
Guo, Jiaming, Xiaoping Wang, Wei Zhang, et al.. (2019). Geranylated carbazole alkaloids with potential neuroprotective activities from the stems and leaves of Clausena lansium. Bioorganic Chemistry. 92. 103278–103278. 18 indexed citations
11.
Liu, Yan-Ping, et al.. (2019). Anti-inflammatory and antiproliferative prenylated carbazole alkaloids from Clausena vestita. Bioorganic Chemistry. 91. 103107–103107. 21 indexed citations
12.
Liu, Yanping, et al.. (2018). A New Stemodane Diterpenoid from the Stems and Leaves of Trigonostemon heterophyllus. Chinese Journal of Organic Chemistry. 38(11). 3137–3137. 2 indexed citations
13.
Zhang, Yuqin, et al.. (2018). Bioactive dibenzofurans from the rattans of Bauhinia championii (Benth.) Benth.. Phytochemistry Letters. 24. 154–157. 4 indexed citations
14.
Zhang, Yuqin, et al.. (2018). A new polyoxygenated abietane diterpenoid from the rattans of Bauhinia championii (Benth.) Benth. Natural Product Research. 32(21). 2577–2582. 12 indexed citations
15.
Liu, Yanping, et al.. (2018). Novel tetrahydrofuran derivatives from Trigonostemon howii with their potential anti-HIV-1 activities. Bioorganic Chemistry. 79. 111–114. 19 indexed citations
16.
Liu, Yanping, Qinglong Liu, Xianglin Zhang, et al.. (2018). Bioactive monoterpene indole alkaloids from Nauclea officinalis. Bioorganic Chemistry. 83. 1–5. 46 indexed citations
17.
Cai, Jianfeng, Yan-Hui Fu, Jiatao Feng, et al.. (2017). Preparative separation of the polar part from the rhizomes of Anemarrhena asphodeloides using a hydrophilic C18 stationary phase. Journal of Chromatography B. 1063. 149–155. 7 indexed citations
18.
Hua, Yan, et al.. (2017). Bioactive polyoxygenated seco-cyclohexenes from Artabotrys hongkongensis. Bioorganic Chemistry. 76. 386–391. 19 indexed citations
19.
Ma, Yanlei, Chao Zhang, Shi Shi, et al.. (2017). Carbazole alkaloids from Clausena hainanensis with their potential antiproliferative activities. Bioorganic Chemistry. 76. 359–364. 40 indexed citations
20.
Yu, Zhang‐Xin, Yan-Hui Fu, Guang‐Ying Chen, et al.. (2016). New clerodane diterpenoids from the roots of Polyalthia laui. Fitoterapia. 111. 36–41. 13 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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