Peng Fu

1.2k total citations
45 papers, 954 citations indexed

About

Peng Fu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Peng Fu has authored 45 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Peng Fu's work include Cancer-related molecular mechanisms research (5 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). Peng Fu is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). Peng Fu collaborates with scholars based in China, United States and Australia. Peng Fu's co-authors include Guowen Zhang, Mingming Hu, Lin Wang, Xing Hu, Jia Zhou, He Li, Lin Wang, Mingming Hu, Zhenzhen Gao and Hamed Kord‐Varkaneh and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Frontiers in Plant Science and AIDS.

In The Last Decade

Peng Fu

41 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Fu China 16 371 244 117 113 97 45 954
Ping Xiao China 18 391 1.1× 79 0.3× 83 0.7× 75 0.7× 107 1.1× 96 1.1k
Chi Chun Wong United Kingdom 16 599 1.6× 188 0.8× 49 0.4× 51 0.5× 63 0.6× 29 1.3k
Atif Zafar India 16 418 1.1× 166 0.7× 97 0.8× 119 1.1× 40 0.4× 28 1.2k
Bing Bai China 23 431 1.2× 222 0.9× 105 0.9× 93 0.8× 40 0.4× 89 1.6k
Josephine W. Wu Taiwan 22 708 1.9× 111 0.5× 118 1.0× 114 1.0× 238 2.5× 48 1.4k
Mohd Suhail Saudi Arabia 21 385 1.0× 98 0.4× 89 0.8× 95 0.8× 29 0.3× 62 1.2k
Ziping Yang United States 21 944 2.5× 455 1.9× 97 0.8× 112 1.0× 66 0.7× 45 1.7k
Wan‐Mohaiza Dashwood United States 18 756 2.0× 176 0.7× 61 0.5× 108 1.0× 47 0.5× 30 1.3k
M. G. R. Rajan India 21 370 1.0× 81 0.3× 102 0.9× 260 2.3× 44 0.5× 72 1.5k

Countries citing papers authored by Peng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Fu. A scholar is included among the top collaborators of Peng 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 Peng Fu. Peng 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
1.
Han, Wei, Lili Liu, Haibo Wang, et al.. (2025). 18F-FAPI-04 PET/CT in the evaluation of ground-glass nodules less than 3 cm in diameter comparing to 18F-FDG PET/CT. Frontiers in Oncology. 15. 1605678–1605678.
2.
Luo, Qing, Zhiwei Wu, Ming‐Ying Lan, et al.. (2025). The significance of m6A-circFOXK2 in CD4+T cells from patients with rheumatoid arthritis and circFOXK2 correlates with Th17 % and autophagy. Journal of Translational Autoimmunity. 11. 100326–100326.
3.
4.
Lan, Ming‐Ying, Zikun Huang, Peng Fu, et al.. (2024). Downregulated YTHDF2 expression in systemic lupus erythematosus is associated with inflammatory and neutrophil cytokine production. Clinical Rheumatology. 44(1). 237–246.
5.
Luo, Qing, Shiqian Wang, Peng Fu, et al.. (2024). Decreased expression of NAT10 in peripheral blood mononuclear cells from new-onset ankylosing spondylitis and its clinical significance. Arthritis Research & Therapy. 26(1). 7–7. 5 indexed citations
6.
7.
Lu, Jialing, et al.. (2022). Evaluation of open reduction of distal humerus fractures in children after implementation of an enhanced recovery after surgery program. BMC Musculoskeletal Disorders. 23(1). 705–705. 1 indexed citations
8.
Zhong, Shengfu, Chen Chen, Wei Chen, et al.. (2021). Identification and Characterization of NBS Resistance Genes in Akebia trifoliata. Frontiers in Plant Science. 12. 758559–758559. 21 indexed citations
9.
Xin, Hualei, Peng Fu, Junling Sun, et al.. (2020). Risk mapping of scrub typhus infections in Qingdao city, China. PLoS neglected tropical diseases. 14(12). e0008757–e0008757. 10 indexed citations
10.
Fu, Peng, et al.. (2020). Investigation of the IL-1β +3954 C>T polymorphism and the risk of sepsis. Medicine. 99(31). e21022–e21022. 1 indexed citations
11.
Meng, Haiyan, Lei Zhu, Hamed Kord‐Varkaneh, et al.. (2020). Effects of intermittent fasting and energy-restricted diets on lipid profile: A systematic review and meta-analysis. Nutrition. 77. 110801–110801. 107 indexed citations
12.
Gao, Zhenzhen, et al.. (2019). Comprehensive Analysis of lncRNA–miRNA– mRNA Network Ascertains Prognostic Factors in Patients with Colon Cancer. Technology in Cancer Research & Treatment. 18. 1078120885–1078120885. 24 indexed citations
13.
Fu, Peng, et al.. (2019). IL-8 gene locus is associated with risk, severity and 28-day mortality of sepsis in a Chinese population. Clinical and Experimental Medicine. 19(4). 571–576. 8 indexed citations
14.
Xue, Cheng, Ming Zhang, Tiansheng Zheng, et al.. (2013). Clavicle and coracoid process drilling technique for truly anatomic coracoclavicular ligament reconstruction. Injury. 44(10). 1314–1320. 19 indexed citations
15.
Fu, Peng, et al.. (2013). Assessment of cardiac abnormalities in Duchenne's muscular dystrophy by (99m)Tc-MIBI gated myocardial perfusion imaging.. PubMed. 15(2). 114–9. 2 indexed citations
16.
Zhang, Yepeng, Guowen Zhang, Peng Fu, Yadi Ma, & Jia Zhou. (2012). Study on the interaction of triadimenol with calf thymus DNA by multispectroscopic methods and molecular modeling. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 96. 1012–1019. 26 indexed citations
17.
Zhang, Guowen, Lin Wang, Peng Fu, & Mingming Hu. (2011). Mechanism and conformational studies of farrerol binding to bovine serum albumin by spectroscopic methods. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 82(1). 424–431. 28 indexed citations
18.
Zhang, Guowen, Peng Fu, Lin Wang, & Mingming Hu. (2011). Molecular Spectroscopic Studies of Farrerol Interaction with Calf Thymus DNA. Journal of Agricultural and Food Chemistry. 59(16). 8944–8952. 166 indexed citations
19.
Deng, Wei, Peng Fu, Linlin Bao, et al.. (2009). Molecular epidemiological tracing of HIV-1 outbreaks in Hainan island of southern China. AIDS. 23(8). 977–985. 25 indexed citations
20.
Wang, Xuan, et al.. (2007). Molecular cloning and analysis of a new venom allergen-like protein gene from the root-knot nematode Meloidogyne incognita. Experimental Parasitology. 117(2). 133–140. 29 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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