Feng Fu

481 total citations
25 papers, 286 citations indexed

About

Feng Fu is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Feng Fu has authored 25 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Surgery. Recurrent topics in Feng Fu's work include Plant Stress Responses and Tolerance (5 papers), Anesthesia and Pain Management (5 papers) and Plant nutrient uptake and metabolism (5 papers). Feng Fu is often cited by papers focused on Plant Stress Responses and Tolerance (5 papers), Anesthesia and Pain Management (5 papers) and Plant nutrient uptake and metabolism (5 papers). Feng Fu collaborates with scholars based in China and United States. Feng Fu's co-authors include Xinzhong Chen, Meijuan Yang, Ying Feng, Fei Xiao, Shu Zhou, Haoqiang Yu, Min Xiao, Yanhong Zhou, Warwick D. Ngan Kee and Lili Lu and has published in prestigious journals such as Diabetes, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Feng Fu

21 papers receiving 283 citations

Peers

Feng Fu

SURGE

CCM

T Kodama Japan

Brad Youngblood United States

Tianyu Xu China

Rei Hasegawa Japan

Asma Khan United States

Suhani Sumalatha India

Hamed Ashrafzadeh Takhtfooladi Iran

Ghazaleh Heydarirad Iran

Wiphawi Hipkaeo Thailand

Wissam H. Joumaa Lebanon

T Kodama Japan

Feng Fu

17 ×0.2

175 ×2.0

36 ×0.4

SURGE

15 ×0.4

12 ×0.3

CCM

Citations per year, relative to Feng Fu Feng Fu (= 1×) peers T Kodama

Countries citing papers authored by Feng Fu

Since Specialization

Citations

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

Fields of papers citing papers by Feng Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Fu. A scholar is included among the top collaborators of Feng 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 Feng Fu. Feng 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

Shi, Yanyan, et al.. (2025). Correction of Failure Data Under Electrode Disconnection for Accurate Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.

Fu, Feng, et al.. (2025). Factors influencing medication adherence for deep vein thrombosis prevention in post-discharge patients after joint replacement surgery: a qualitative study based on Protection Motivation Theory. BMJ Open. 15(5). e090983–e090983.

Shi, Yanyan, et al.. (2025). Identification of Cerebral Hemorrhage Location in Brain Electrical Impedance Tomography. IEEE Sensors Journal. 25(13). 25810–25819.

Fu, Feng, Meijuan Yang, Lili Xu, & Xinzhong Chen. (2024). A comparison of the effect of phenylephrine and norepinephrine on uteroplacental vascular resistance during the treatment of postspinal hypotension in preeclamptic patients. European Journal of Anaesthesiology. 41(2). 150–152. 2 indexed citations

Xu, Qi, Lihong Sun, Hui Wu, et al.. (2021). A novel visceral pain model of uterine cervix inflammation in rat. European Journal of Pharmacology. 900. 174080–174080. 1 indexed citations

Yang, Fang, Changgeng Song, Li Li, et al.. (2021). Glibenclamide Advantage in Treating Edema After Intracerebral Hemorrhage (GATE-ICH): Study Protocol for a Multicenter Randomized, Controlled, Assessor-Blinded Trial. Frontiers in Neurology. 12. 656520–656520. 7 indexed citations

Zhang, Fuyang, Kai Wang, Guangyu Hu, et al.. (2021). Genetic ablation of fas-activated serine/threonine kinase ameliorates alcoholic liver disease through modulating HuR-SIRT1 mRNA complex stability. Free Radical Biology and Medicine. 166. 201–211. 7 indexed citations

Fu, Feng, et al.. (2020). A randomised dose-response study of prophylactic Methoxamine infusion for preventing spinal-induced hypotension during Cesarean delivery. BMC Anesthesiology. 20(1). 198–198. 3 indexed citations

Tang, Yu-Wen, Meijuan Yang, Feng Fu, et al.. (2020). Comparison of the ED50 of intrathecal hyperbaric ropivacaine co-administered with or without intrathecal dexmedetomidine for cesarean section: A prospective, double-blinded, randomized dose-response trial using up-down sequential allocation method. Journal of Clinical Anesthesia. 62. 109725–109725. 28 indexed citations

10.

Zhang, Wenxin, Hui Wu, Qi Xu, et al.. (2020). Estrogen modulation of pain perception with a novel 17β-estradiol pretreatment regime in ovariectomized rats. Biology of Sex Differences. 11(1). 2–2. 27 indexed citations

11.

Fu, Feng, Fei Xiao, Meijuan Yang, et al.. (2020). A randomised double-blind dose–response study of weight-adjusted infusions of norepinephrine for preventing hypotension during combined spinal–epidural anaesthesia for Caesarean delivery. British Journal of Anaesthesia. 124(3). e108–e114. 42 indexed citations

12.

Yang, Lin, et al.. (2019). Expression response of chalcone synthase gene to inducing conditions and its effect on flavonoids accumulation in two medicinal species of Anoectochilus. Scientific Reports. 9(1). 20171–20171. 9 indexed citations

13.

Yang, Lin, et al.. (2019). Cloning and characterization of Farnesyl pyrophosphate synthase gene from Anoectochilus. Pakistan Journal of Botany. 52(3). 3 indexed citations

14.

Yu, Hao, et al.. (2019). [The BES1/BZR1 transcription factors regulate growth, development and stress resistance in plants].. PubMed. 41(3). 206–214. 12 indexed citations

15.

Khalid, Muhammad Hayder Bin, Muhammad Ali Raza, Haoqiang Yu, et al.. (2019). Expression, Subcellular Localization, and Interactions of CPK Family Genes in Maize. International Journal of Molecular Sciences. 20(24). 6173–6173. 11 indexed citations

16.

Yuan, Fang, Fang Yang, Changhu Xue, et al.. (2018). Controlling Hypertension After Severe Cerebrovascular Event (CHASE): study protocol for a randomized controlled trial. Trials. 19(1). 130–130.

17.

Yu, Hao, et al.. (2016). Cloning and characterization of vacuolar H+-pyrophosphatase gene (AnVP1) from Ammopiptanthus nanus and its heterologous expression enhances osmotic tolerance in yeast and Arabidopsis thaliana. Plant Growth Regulation. 81(3). 385–397. 14 indexed citations

18.

Chen, Lei, et al.. (2016). Phospholipase D family and its expression in response to abiotic stress in maize. Plant Growth Regulation. 81(2). 197–207. 11 indexed citations

19.

Yu, Haoqiang, et al.. (2015). Overexpression of a phospholipase Dα gene from Ammopiptanthus nanus enhances salt tolerance of phospholipase Dα1-deficient Arabidopsis mutant. Planta. 242(6). 1495–1509. 27 indexed citations

20.

Yu, Haoqiang, et al.. (2015). Cloning and functional validation of molybdenum cofactor sulfurase gene from Ammopiptanthus nanus. Plant Cell Reports. 34(7). 1165–1176. 10 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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