Yu Fu

4.5k total citations
87 papers, 2.9k citations indexed

About

Yu Fu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Yu Fu has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 13 papers in Physiology. Recurrent topics in Yu Fu's work include Gastrointestinal motility and disorders (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Stress Responses and Cortisol (7 papers). Yu Fu is often cited by papers focused on Gastrointestinal motility and disorders (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Stress Responses and Cortisol (7 papers). Yu Fu collaborates with scholars based in China, United States and France. Yu Fu's co-authors include Volker Neugebauer, Guangchen Ji, Hao Sun, Vasco Galhardo, Miguel Pais-Vieira, Zhen Li, Hita Adwanikar, Richard A. Depue, Jeong Seok Han and Patricia Shinnick‐Gallagher and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and Gastroenterology.

In The Last Decade

Yu Fu

83 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Fu China 30 1.1k 953 874 363 362 87 2.9k
Kenneth J. O’Riordan United States 29 2.9k 2.6× 718 0.8× 1.2k 1.4× 468 1.3× 285 0.8× 52 4.9k
Collin Challis United States 11 2.2k 2.0× 736 0.8× 1.2k 1.4× 240 0.7× 189 0.5× 16 4.4k
Sergueı̈ O. Fetissov France 39 1.5k 1.3× 814 0.9× 1.4k 1.6× 290 0.8× 311 0.9× 126 4.6k
Kieran Rea Ireland 23 1.1k 1.0× 446 0.5× 584 0.7× 242 0.7× 296 0.8× 47 2.2k
Thomas Blank Germany 37 1.6k 1.4× 940 1.0× 725 0.8× 298 0.8× 711 2.0× 74 4.5k
Huan Yang United States 21 1.6k 1.5× 527 0.6× 497 0.6× 338 0.9× 293 0.8× 60 4.9k
Aitak Farzi Austria 25 1.9k 1.7× 396 0.4× 1.1k 1.3× 123 0.3× 399 1.1× 39 3.4k
Karen A. Scott United States 27 1.5k 1.3× 276 0.3× 1.3k 1.4× 162 0.4× 493 1.4× 68 3.7k
Lucy Vulchanova United States 33 1.6k 1.5× 1.7k 1.8× 1.9k 2.1× 152 0.4× 127 0.4× 66 5.1k
Florian Reichmann Austria 22 1.0k 0.9× 466 0.5× 646 0.7× 99 0.3× 385 1.1× 39 2.5k

Countries citing papers authored by Yu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Fu. A scholar is included among the top collaborators of Yu 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 Yu Fu. Yu 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
3.
Luo, Jinhai, et al.. (2024). Unveiling the molecular mechanisms of adzuki bean (Vigna angularis) derived bioactive phytochemicals in combating obesity. Food Bioscience. 62. 105515–105515. 4 indexed citations
4.
Mao, Xin, et al.. (2024). HMGB1 promotes mitochondrial transfer between hepatocellular carcinoma cells through RHOT1 and RAC1 under hypoxia. Cell Death and Disease. 15(2). 155–155. 15 indexed citations
5.
Fu, Yu, et al.. (2024). An Attention-Guided Spatio-Temporal Convolutional Network (AG-STCN) for Spatio-Temporal Characterization Analysis. Electronics. 13(24). 4889–4889. 1 indexed citations
6.
Zhang, Gan, et al.. (2023). Migraine and white matter lesions: a mendelian randomization study. Scientific Reports. 13(1). 10984–10984. 5 indexed citations
7.
Zhu, Qingyong, Yanping Zhai, Jiuqi Wang, et al.. (2023). Microbiota-ear-brain interaction is associated with generalized anxiety disorder through activation of inflammatory cytokine responses. Frontiers in Immunology. 14. 1117726–1117726. 5 indexed citations
8.
Chen, Chaoyue, Wei Yan, Meihui Tao, & Yu Fu. (2023). NAD+ Metabolism and Immune Regulation: New Approaches to Inflammatory Bowel Disease Therapies. Antioxidants. 12(6). 1230–1230. 22 indexed citations
9.
Zhang, Ying, Meihui Tao, Chaoyue Chen, et al.. (2022). BAFF Blockade Attenuates DSS-Induced Chronic Colitis via Inhibiting NLRP3 Inflammasome and NF-κB Activation. Frontiers in Immunology. 13. 783254–783254. 29 indexed citations
10.
Chen, Chaoyue, et al.. (2021). Hypoalbuminemia – An Indicator of the Severity and Prognosis of COVID-19 Patients: A Multicentre Retrospective Analysis. Infection and Drug Resistance. Volume 14. 3699–3710. 24 indexed citations
11.
Ren, Zhengnan, Li‐Long Pan, Yi‐Wen Huang, et al.. (2021). Gut microbiota‐CRAMP axis shapes intestinal barrier function and immune responses in dietary gluten‐induced enteropathy. EMBO Molecular Medicine. 13(8). e14059–e14059. 23 indexed citations
12.
Zhao, Xi, et al.. (2021). Clinical Features and Factors Associated with Occult Gastrointestinal Bleeding in COVID-19 Patients. Infection and Drug Resistance. Volume 14. 4217–4226. 3 indexed citations
13.
Zhou, Fangyuan, Meihui Tao, Luorui Shang, et al.. (2021). Assessment of Sequelae of COVID-19 Nearly 1 Year After Diagnosis. Frontiers in Medicine. 8. 717194–717194. 57 indexed citations
14.
Fu, Yu, Rui Zhu, Tao Bai, et al.. (2020). Clinical Features of Patients Infected With Coronavirus Disease 2019 With Elevated Liver Biochemistries: A Multicenter, Retrospective Study. Hepatology. 73(4). 1509–1520. 68 indexed citations
15.
Yao, Yu-Feng, Xianbo Wu, Lisha Shen, et al.. (2020). Clinical characteristics of COVID-19 patients in three consecutive generations of spread in Zhejiang, China. Clinical Microbiology and Infection. 26(10). 1380–1385. 8 indexed citations
16.
Yu, Chuan, et al.. (2019). Proteomic analysis of male rat nucleus accumbens, dorsal hippocampus and amygdala on conditioned place aversion induced by morphine withdrawal. Behavioural Brain Research. 372. 112008–112008. 3 indexed citations
17.
Fu, Yu, et al.. (2018). Role of brain‐derived neurotrophic factor in the pathogenesis of distention‐associated abdominal pain in bowel obstruction. Neurogastroenterology & Motility. 30(10). e13373–e13373. 14 indexed citations
18.
Fu, Yu, et al.. (2014). Colon distention induces persistent visceral hypersensitivity by mechanotranscription of pain mediators in colonic smooth muscle cells. American Journal of Physiology-Gastrointestinal and Liver Physiology. 308(5). G434–G441. 17 indexed citations
19.
Lei, Gang, Noelle C. Anastasio, Yu Fu, Volker Neugebauer, & Kenneth M. Johnson. (2009). Activation of dopamine D1 receptors blocks phencyclidine‐induced neurotoxicity by enhancing N‐methyl‐D‐aspartate receptor‐mediated synaptic strength. Journal of Neurochemistry. 109(4). 1017–1030. 19 indexed citations
20.
Zhang, Hua, Yu Fu, Christophe Altier, et al.. (2006). CaV1.2 and CaV1.3 neuronal L‐type calcium channels: differential targeting and signaling to pCREB. European Journal of Neuroscience. 23(9). 2297–2310. 84 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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