Hong Fu

1.9k total citations
37 papers, 1.4k citations indexed

About

Hong Fu is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Hong Fu has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Pharmacology and 7 papers in Organic Chemistry. Recurrent topics in Hong Fu's work include Microbial Natural Products and Biosynthesis (17 papers), Genomics and Phylogenetic Studies (5 papers) and Plant-Microbe Interactions and Immunity (4 papers). Hong Fu is often cited by papers focused on Microbial Natural Products and Biosynthesis (17 papers), Genomics and Phylogenetic Studies (5 papers) and Plant-Microbe Interactions and Immunity (4 papers). Hong Fu collaborates with scholars based in China, United States and United Kingdom. Hong Fu's co-authors include Chaitan Khosla, Robert McDaniel, David A. Hopwood, Gary W. Ashley, Mary C. Betlach, Arinthip Thamchaipenet, Claes Gustafsson, David E. Cane, Susanne Ebert‐Khosla and Camilla M. Kao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Hong Fu

36 papers receiving 1.4k citations

Peers

Hong Fu

PHARM

BIOTE

Charles E. Melançon United States

Ichiji Namatame Japan

Kinya Katayama Japan

Heinrich Decker Germany

Toshifumi Takeuchi Japan

Hui Hong United Kingdom

Bin Sun China

Yaoquan Liu United States

Xiaobo Wang China

Iva Slaninová Czechia

Charles E. Melançon United States

Hong Fu

1.1k ×1.2

517 ×0.6

PHARM

603 ×1.8

250 ×1.1

BIOTE

120 ×0.6

Citations per year, relative to Hong Fu Hong Fu (= 1×) peers Charles E. Melançon

Countries citing papers authored by Hong Fu

Since Specialization

Citations

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

Fields of papers citing papers by Hong Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Fu

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

All Works

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20 of 20 papers shown

Yang, Shan, Riming Wang, Mei Liu, et al.. (2024). Dual-aptamer-decorated reduction-activated dimeric-prodrug nanoparticles for broad-spectrum treatment of leukemia. Biomedicine & Pharmacotherapy. 180. 117543–117543.

Zhao, Jie, Hong Fu, Jingjing Yu, et al.. (2023). Prospect of acromegaly therapy: molecular mechanism of clinical drugs octreotide and paltusotine. Nature Communications. 14(1). 962–962. 21 indexed citations

Zhao, Chang, Heli Wang, Ying Liu, et al.. (2023). Biased allosteric activation of ketone body receptor HCAR2 suppresses inflammation. Molecular Cell. 83(17). 3171–3187.e7. 29 indexed citations

Zhang, Yan, Lin Chen, Xuanting Ye, et al.. (2021). Expression and mechanism of exosome-mediated A FOXM1 related long noncoding RNA in gastric cancer. Journal of Nanobiotechnology. 19(1). 133–133. 38 indexed citations

Qi, Haishan, Sumin Zhao, Hong Fu, Jianping Wen, & Xiaoqiang Jia. (2014). Coupled cell morphology investigation and metabolomics analysis improves rapamycin production in Streptomyces hygroscopicus. Biochemical Engineering Journal. 91. 186–195. 11 indexed citations

Lee, Younjoo, Jun Yong Choi, Hong Fu, et al.. (2011). Chemistry and Biology of Macrolide Antiparasitic Agents. Journal of Medicinal Chemistry. 54(8). 2792–2804. 26 indexed citations

Fu, Hong, Gengxin Liu, Pan Dou, et al.. (2011). A randomized double-blind placebo-controlled study of Pu’er tea (普洱茶) extract on the regulation of metabolic syndrome. Chinese Journal of Integrative Medicine. 17(7). 492–498. 37 indexed citations

Xu, Youhua, et al.. (2009). Urocortin induced expression of COX‐2 and ICAM‐1 via corticotrophin‐releasing factor type 2 receptor in rat aortic endothelial cells. British Journal of Pharmacology. 158(3). 819–829. 22 indexed citations

Fu, Hong, et al.. (2009). Evaluation of radionuclide cerebrospinal fluid scintigraphy as a guide in the management of patients with hydrocephalus. Clinical Imaging. 33(2). 85–89. 2 indexed citations

10.

Xu, Youhua, Jie Chen, Qichun Zhang, et al.. (2009). Urocortin promotes the development of vasculitis in a rat model of thromboangiitis obliterans via corticotrophin‐releasing factor type 1 receptors. British Journal of Pharmacology. 157(8). 1368–1379. 28 indexed citations

11.

Wang, Hui, et al.. (2008). Comparison of whole-body 18F-FDG SPECT and posttherapeutic 131I scintigraphy in the detection of metastatic thyroid cancer. Clinical Imaging. 32(1). 32–37. 6 indexed citations

12.

Ashley, Gary W., Mark A. Burlingame, Ruchir P. Desai, et al.. (2006). Preparation of Erythromycin Analogs Having Functional Groups at C-15. The Journal of Antibiotics. 59(7). 392–401. 19 indexed citations

13.

Fu, Hong, et al.. (2005). Synthesis and in vitro antibiotic activity of 16-membered 9-O-arylalkyloxime macrolides. Bioorganic & Medicinal Chemistry Letters. 16(5). 1259–1266. 10 indexed citations

14.

Rodrı́guez, Eduardo, Shannon L. Ward, Hong Fu, et al.. (2004). Engineered biosynthesis of 16-membered macrolides that require methoxymalonyl-ACP precursors in Streptomyces fradiae. Applied Microbiology and Biotechnology. 66(1). 85–91. 29 indexed citations

15.

Tang, Li, Hong Fu, & Robert McDaniel. (2000). Formation of functional heterologous complexes using subunits from the picromycin, erythromycin and oleandomycin polyketide synthases. Chemistry & Biology. 7(2). 77–84. 60 indexed citations

16.

McDaniel, Robert, Camilla M. Kao, Hong Fu, et al.. (1997). Gain-of-Function Mutagenesis of a Modular Polyketide Synthase. Journal of the American Chemical Society. 119(18). 4309–4310. 62 indexed citations

17.

Álvarez, Miguel A., Hong Fu, Chaitan Khosla, David A. Hopwood, & James E. Bailey. (1996). Engineered Biosynthesis of Novel Polyketides: Properties of the whiE Aromatase/Cyclase. Nature Biotechnology. 14(3). 335–338. 35 indexed citations

18.

Fu, Hong & Chaitan Khosla. (1996). Antibiotic activity of polyketide products derived from combinatorial biosynthesis: Implications for directed evolution. Molecular Diversity. 1(2). 121–124. 8 indexed citations

19.

Fu, Hong, Robert McDaniel, David A. Hopwood, & Chaitan Khosla. (1994). Engineered biosynthesis of novel polyketides: Stereochemical course of two reactions catalyzed by a polyketide synthase. Biochemistry. 33(31). 9321–9326. 40 indexed citations

20.

Fu, Hong, David A. Hopwood, & Chaitan Khosla. (1994). Engineered biosynthesis of novel polyketides: evidence for temporal, but not regiospecific, control of cyclization of an aromatic polyketide precursor. Chemistry & Biology. 1(4). 205–210. 60 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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