Zhu Fu

1.4k total citations
25 papers, 1.1k citations indexed

About

Zhu Fu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Microbiology. According to data from OpenAlex, Zhu Fu has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Microbiology. Recurrent topics in Zhu Fu's work include Receptor Mechanisms and Signaling (5 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Zhu Fu is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Zhu Fu collaborates with scholars based in United States, China and Germany. Zhu Fu's co-authors include Ehud Y. Isacoff, Terry E. Machen, Thomas L. Kieft, Snezna Rogelj, Zhi Yao, Rodney L. Dunn, Mark A. Rubin, Peter Smith, Evan T. Keller and Christian Schwarzer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Zhu Fu

25 papers receiving 1.1k citations

Peers

Zhu Fu

CMN

PFM

PRM

ENDOC

Thibaud T. Renault United States

Donald E. Sykes United States

Janet E. McCombs United States

Kazuhiro Masuda Japan

Jonathan G. Swoboda United States

Anil V. Nair United States

Zhen He China

Kumkum Ganguly United States

Csaba Vízler Hungary

Ben S. Sidders United Kingdom

Thibaud T. Renault United States

Zhu Fu

1.1k ×1.5

52 ×0.2

CMN

62 ×0.4

PFM

34 ×0.3

PRM

53 ×0.5

ENDOC

Citations per year, relative to Zhu Fu Zhu Fu (= 1×) peers Thibaud T. Renault

Countries citing papers authored by Zhu Fu

Since Specialization

Citations

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

Fields of papers citing papers by Zhu Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhu Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Habrian, Chris, Naomi R. Latorraca, Zhu Fu, & Ehud Y. Isacoff. (2023). Homo- and hetero-dimeric subunit interactions set affinity and efficacy in metabotropic glutamate receptors. Nature Communications. 14(1). 8288–8288. 10 indexed citations

He, Yue, Xinsheng Gu, Ying Hu, et al.. (2022). Low-density lipoprotein receptor and apolipoprotein A 5, myocardial infarction biomarkers in plasma-derived exosomes. Journal of Cardiology. 79(5). 605–610. 4 indexed citations

Habrian, Chris, Joshua Levitz, Vojtěch Vyklický, et al.. (2019). Conformational pathway provides unique sensitivity to a synaptic mGluR. Nature Communications. 10(1). 5572–5572. 51 indexed citations

Li, Jing, et al.. (2018). Anti inflammatory effect of asiaticoside on human umbilical vein endothelial cells induced by ox-LDL. Cytotechnology. 70(2). 855–864. 21 indexed citations

Palty, Raz, Zhu Fu, & Ehud Y. Isacoff. (2017). Sequential Steps of CRAC Channel Activation. Cell Reports. 19(9). 1929–1939. 27 indexed citations

Xu, Lei, Weiyi Fang, Zhu Fu, Hongguang Zhang, & Kai Liu. (2017). A coordinated PCP-Cardiologist Telemedicine Model (PCTM) in China’s community hypertension care: study protocol for a randomized controlled trial. Trials. 18(1). 236–236. 9 indexed citations

Levitz, Joshua, Chris Habrian, Shashank Bharill, et al.. (2016). Mechanism of Assembly and Cooperativity of Homomeric and Heteromeric Metabotropic Glutamate Receptors. Neuron. 92(1). 143–159. 129 indexed citations

Schwarzer, Christian, et al.. (2015). Paraoxonase 2 Serves a Proapopotic Function in Mouse and Human Cells in Response to the Pseudomonas aeruginosa Quorum-sensing Molecule N-(3-Oxododecanoyl)-homoserine Lactone. Journal of Biological Chemistry. 290(11). 7247–7258. 23 indexed citations

Schwarzer, Christian, et al.. (2014). P seudomonas aeruginosa homoserine lactone triggers apoptosis and B ak/ B ax‐independent release of mitochondrial cytochrome C in fibroblasts. Cellular Microbiology. 16(7). 1094–1104. 20 indexed citations

10.

Fu, Zhu, et al.. (2014). Polymorphisms of DNA repair-related genes with susceptibility and prognosis of prostate cancer. Genetics and Molecular Research. 13(2). 4419–4424. 15 indexed citations

11.

Bharill, Shashank, Zhu Fu, Raz Palty, & Ehud Y. Isacoff. (2014). Stoichiometry and specific assembly of Best ion channels. Proceedings of the National Academy of Sciences. 111(17). 6491–6496. 24 indexed citations

12.

Fu, Zhu, et al.. (2014). Pseudomonas aeruginosa Quorum-Sensing Molecule Homoserine Lactone Modulates Inflammatory Signaling through PERK and eI-F2α. The Journal of Immunology. 193(3). 1459–1467. 25 indexed citations

13.

Fu, Zhu. (2013). Correlation between serum 25-hydroxy vitamin D, parathyroid hormone and osteoporosis in elderly fracture population. 2 indexed citations

14.

Schwarzer, Christian, Zhu Fu, Beate Illek, et al.. (2012). Pseudomonas aeruginosa biofilm-associated homoserine lactone C12 rapidly activates apoptosis in airway epithelia. Cellular Microbiology. 14(5). 698–709. 55 indexed citations

15.

Schwarzer, Christian, Zhu Fu, Horst Fischer, & Terry E. Machen. (2008). Redox-independent Activation of NF-κB by Pseudomonas aeruginosa Pyocyanin in a Cystic Fibrosis Airway Epithelial Cell Line. Journal of Biological Chemistry. 283(40). 27144–27153. 19 indexed citations

16.

Illek, Beate, Zhu Fu, Christian Schwarzer, et al.. (2008). Flagellin-stimulated Cl⁻ secretion and innate immune responses in airway epithelia: role for p38. American Journal of Physiology-Lung Cellular and Molecular Physiology. 295(4). L531–L542. 25 indexed citations

17.

Hybiske, Kevin, et al.. (2007). Effects of cystic fibrosis transmembrane conductance regulator and ΔF508CFTR on inflammatory response, ER stress, and Ca²⁺of airway epithelia. American Journal of Physiology-Lung Cellular and Molecular Physiology. 293(5). L1250–L1260. 47 indexed citations

18.

Fu, Zhu, et al.. (2006). Role of Ca²⁺in responses of airway epithelia toPseudomonas aeruginosa, flagellin, ATP, and thapsigargin. American Journal of Physiology-Lung Cellular and Molecular Physiology. 292(1). L353–L364. 39 indexed citations

19.

Fu, Zhu, Snezna Rogelj, & Thomas L. Kieft. (2004). Rapid detection of Escherichia coli O157:H7 by immunomagnetic separation and real-time PCR. International Journal of Food Microbiology. 99(1). 47–57. 136 indexed citations

20.

Fu, Zhu, Peter Smith, Mark A. Rubin, et al.. (2003). Effects of Raf Kinase Inhibitor Protein Expression on Suppression of Prostate Cancer Metastasis. JNCI Journal of the National Cancer Institute. 95(12). 878–889. 296 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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