Cong Fu

797 total citations
48 papers, 521 citations indexed

About

Cong Fu is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Cong Fu has authored 48 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Surgery and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Cong Fu's work include Angiogenesis and VEGF in Cancer (5 papers), Extracellular vesicles in disease (5 papers) and Cardiovascular Disease and Adiposity (4 papers). Cong Fu is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), Extracellular vesicles in disease (5 papers) and Cardiovascular Disease and Adiposity (4 papers). Cong Fu collaborates with scholars based in China, United States and Bangladesh. Cong Fu's co-authors include Yuyu Yao, Wenbin Lu, Yuhan Cao, Genshan Ma, Ran Huo, Steven L. Coon, David C. Klein, Yong Tang, Yuning Sun and Chengxing Shen and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and BMC Bioinformatics.

In The Last Decade

Cong Fu

42 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cong Fu China	14	257	102	89	87	79	48	521
Barbara Leutgeb Germany	7	390 1.5×	67 0.7×	49 0.6×	91 1.0×	85 1.1×	8	674
James Baily United Kingdom	11	260 1.0×	73 0.7×	108 1.2×	33 0.4×	52 0.7×	22	621
Giulia Ruozi Italy	11	242 0.9×	92 0.9×	121 1.4×	54 0.6×	113 1.4×	13	569
Qing-jun Zhang China	11	303 1.2×	181 1.8×	157 1.8×	97 1.1×	46 0.6×	31	645
Midori Yamakawa Japan	8	259 1.0×	40 0.4×	75 0.8×	186 2.1×	58 0.7×	11	540
Nina Zippel Germany	9	259 1.0×	78 0.8×	90 1.0×	113 1.3×	39 0.5×	18	504
Olivia Cochet France	12	273 1.1×	121 1.2×	169 1.9×	43 0.5×	48 0.6×	15	673
David Contador Chile	10	189 0.7×	178 1.7×	133 1.5×	94 1.1×	31 0.4×	11	510
Ayumi Aurea Miyakawa Brazil	18	336 1.3×	168 1.6×	208 2.3×	43 0.5×	117 1.5×	37	693

Countries citing papers authored by Cong Fu

Since Specialization

Citations

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

Fields of papers citing papers by Cong Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Fu

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

Wang, Yajie, et al.. (2025). Fecal microbiota transplantation modulates myeloid-derived suppressor cells and attenuates renal fibrosis in a murine model. Renal Failure. 47(1). 2480749–2480749. 3 indexed citations

Dong, Ruixin, Yuan Hong, Gang Xu, et al.. (2025). Impact of Different Greenspace Metrics on Cardiovascular Disease Incidence in Urban Settings: A Comparative Analysis. Journal of Urban Health. 102(2). 274–289.

Zhang, Lijuan, et al.. (2025). Macrophage activation of the TREM2-DAP12-SYK pathway shapes the adipose tissue microenvironment in obesity and unveils the therapeutic potential of natural compounds egcg and SMRR. Frontiers in Immunology. 16. 1694985–1694985.

Li, Zhiyu, et al.. (2023). Successful repair of an encephalocele wound in a child following a car accident: A case report. Experimental and Therapeutic Medicine. 27(2). 50–50.

Li, Zhiyu, et al.. (2023). M2 Macrophage-Derived Exosomal lncRNA MIR4435-2HG Promotes Progression of Infantile Hemangiomas by Targeting HNRNPA1. International Journal of Nanomedicine. Volume 18. 5943–5960. 11 indexed citations

Yang, Kun, et al.. (2023). Complication rates and safety of pulsed dye laser treatment for port-wine stain: a systematic review and meta-analysis. Lasers in Medical Science. 39(1). 16–16. 4 indexed citations

Fu, Cong, et al.. (2022). Identification of Key microRNAs and Genes in Infantile Hemangiomas. Frontiers in Genetics. 13. 766561–766561. 4 indexed citations

Fu, Cong, et al.. (2022). Exosomes in Myocardial Infarction: Therapeutic Potential and Clinical Application. Journal of Cardiovascular Translational Research. 16(1). 87–96. 12 indexed citations

Cao, Yuhan, Qiancheng Xu, Yuwei Wang, Ling Yang, & Cong Fu. (2022). Ticagrelor Protects against Sepsis-Induced Acute Kidney Injury through an Adenosine Receptor-Dependent Pathway. Current Medical Science. 42(3). 505–512. 4 indexed citations

10.

Fu, Cong, Bing Li, Chang Liu, et al.. (2021). Bradykinin Protects Human Endothelial Progenitor Cells from High-Glucose-Induced Senescence through B2 Receptor-Mediated Activation of the Akt/eNOS Signalling Pathway. Journal of Diabetes Research. 2021. 1–13. 11 indexed citations

11.

Fu, Cong, et al.. (2019). Bradykinin protects cardiac c‐kit positive cells from high‐glucose‐induced senescence through B2 receptor signaling pathway. Journal of Cellular Biochemistry. 120(10). 17731–17743. 7 indexed citations

12.

Yao, Yuyu, Bing Li, Cong Fu, et al.. (2017). Anti-connective tissue growth factor detects and reduces plaque inflammation in early-stage carotid atherosclerotic lesions. Nanomedicine Nanotechnology Biology and Medicine. 13(8). 2385–2394. 16 indexed citations

13.

Li, Bing, Yun Jiao, Cong Fu, et al.. (2016). Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE−/− mice. BioMedical Engineering OnLine. 15(S2). 146–146. 5 indexed citations

14.

Hartley, Stephen W., Steven L. Coon, Luis Savastano, et al.. (2015). Neurotranscriptomics: The Effects of Neonatal Stimulus Deprivation on the Rat Pineal Transcriptome. PLoS ONE. 10(9). e0137548–e0137548. 25 indexed citations

15.

Lu, Wenbin, Zhuoying Xie, Yong Tang, et al.. (2015). Photoluminescent Mesoporous Silicon Nanoparticles with siCCR2 Improve the Effects of Mesenchymal Stromal Cell Transplantation after Acute Myocardial Infarction. Theranostics. 5(10). 1068–1082. 37 indexed citations

16.

Yamazaki, Fumiyoshi, Morten Møller, Cong Fu, et al.. (2014). The Lhx9 homeobox gene controls pineal gland development and prevents postnatal hydrocephalus. Brain Structure and Function. 220(3). 1497–1509. 31 indexed citations

17.

Yao, Yuyu, Cong Fu, Genshan Ma, et al.. (2013). Tissue kallikrein is related to the severity of coronary artery disease. Clinica Chimica Acta. 423. 90–98. 7 indexed citations

18.

Yao, Yuyu, Zulong Sheng, Yefei Li, et al.. (2012). Tissue Kallikrein Promotes Cardiac Neovascularization by Enhancing Endothelial Progenitor Cell Functional Capacity. Human Gene Therapy. 23(8). 859–870. 22 indexed citations

19.

Lu, Wenbin, Cong Fu, Li Song, et al.. (2012). Exposure to supernatants of macrophages that phagocytized dead mesenchymal stem cells improves hypoxic cardiomyocytes survival. International Journal of Cardiology. 165(2). 333–340. 54 indexed citations

20.

Fu, Cong, et al.. (2007). BPhyOG: An interactive server for genome-wide inference of bacterial phylogenies based on overlapping genes. BMC Bioinformatics. 8(1). 266–266. 17 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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