Peng Fu

663 total citations
37 papers, 502 citations indexed

About

Peng Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Peng Fu has authored 37 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Peng Fu's work include Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Peng Fu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Peng Fu collaborates with scholars based in China, United States and Australia. Peng Fu's co-authors include Lin Tian, Yunxue Xu, Xiaolong Liang, Sujuan Sun, Shumin Wang, Min Chen, Suhui Sun, Jinrui Wang, Ranran Zhao and Chong Wang and has published in prestigious journals such as Journal of Virology, Scientific Reports and Nanoscale.

In The Last Decade

Peng Fu

31 papers receiving 493 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 13 157 125 111 104 94 37 502
Renske J.E. van den Bijgaart Netherlands 11 149 0.9× 76 0.6× 63 0.6× 210 2.0× 223 2.4× 19 575
Stephanie Busch United States 12 292 1.9× 200 1.6× 274 2.5× 191 1.8× 381 4.1× 26 999
Lakmini Senavirathna United States 11 234 1.5× 143 1.1× 13 0.1× 56 0.5× 33 0.4× 20 447
Chantal Mengus Switzerland 14 209 1.3× 94 0.8× 18 0.2× 99 1.0× 319 3.4× 22 648
Bing Yi China 10 144 0.9× 117 0.9× 121 1.1× 17 0.2× 290 3.1× 13 463
Igor Moskalev Canada 12 180 1.1× 80 0.6× 43 0.4× 47 0.5× 165 1.8× 29 476
Rolf Habermann United States 6 189 1.2× 165 1.3× 43 0.4× 50 0.5× 94 1.0× 6 704
Radosław Szmyd Singapore 7 267 1.7× 96 0.8× 81 0.7× 64 0.6× 136 1.4× 9 508
Siwen Liu China 15 408 2.6× 110 0.9× 23 0.2× 34 0.3× 131 1.4× 37 637
Stefanie Nittka Germany 11 106 0.7× 35 0.3× 148 1.3× 68 0.7× 93 1.0× 16 388

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.
Li, Maiquan, Wenlan Li, Peng Fu, et al.. (2025). Study on the synergistical effects of characteristic compounds in Osmanthus black tea against xanthine oxidase based on multispectral analysis combined with in silico studies. International Journal of Biological Macromolecules. 308(Pt 2). 142479–142479. 1 indexed citations
2.
Xie, Yong, Yanping Li, Peng Fei, et al.. (2025). Multivariate and Geometric Morphometrics Reveal Morphological Variation Among Sinibotia Fish. Biology. 14(9). 1177–1177.
3.
Jiao, Yuying, Linhan Zhang, Mengjiao Wang, et al.. (2025). Characterization of the glymphatic system and early-phase β-amyloid imaging in Alzheimer's disease: A simultaneous PET/MR study. Brain Research Bulletin. 226. 111368–111368.
4.
5.
Liu, Yansong, et al.. (2025). Multiparametric analysis based on 18F-AV133 PET/MR imaging for clinical application in Parkinson’s disease. European Journal of Radiology. 187. 112074–112074.
6.
Yao, Shujuan, et al.. (2024). Construction of polarized 2D/2D g-C3N4/BiOCl nanosheet dual piezoelectric Z-scheme heterojunction and its efficient charge separation mechanism. Journal of Alloys and Compounds. 1003. 175479–175479. 6 indexed citations
7.
Li, Linqing, et al.. (2024). Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning. The Journal of Pathology Clinical Research. 10(6). e70003–e70003. 1 indexed citations
8.
Wen, Zhengyong, Jieming Chen, Yang Li, et al.. (2024). Chromosome-level genome assemblies of vulnerable male and female elongate loach (Leptobotia elongata). Scientific Data. 11(1). 924–924. 1 indexed citations
9.
Chen, Yuxi, Yuling Chen, Zhaokai Zhou, et al.. (2024). Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy. Frontiers in Immunology. 15. 1499301–1499301. 8 indexed citations
10.
11.
Wang, Li, et al.. (2022). Co-Targeting Tumor Angiogenesis and Immunosuppressive Tumor Microenvironment: A Perspective in Ethnopharmacology. Frontiers in Pharmacology. 13. 886198–886198. 21 indexed citations
12.
13.
Ding, Wenxiang, Jiangyuan Yu, Peng Fu, et al.. (2021). Machine Learning-Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer 18F-FDG and 68Ga-DOTATATE Dynamic PET-CT in Oncology. IEEE Transactions on Medical Imaging. 41(2). 347–359. 19 indexed citations
14.
Zhang, Linhan, et al.. (2021). Prediction model based on 18F-FDG PET/CT radiomic features and clinical factors of EGFR mutations in lung adenocarcinoma. Neoplasma. 69(1). 233–241. 13 indexed citations
15.
Li, Junjun, Jianying Shen, Zhen Wang, et al.. (2019). ELTD1 facilitates glioma proliferation, migration and invasion by activating JAK/STAT3/HIF-1α signaling axis. Scientific Reports. 9(1). 13904–13904. 36 indexed citations
16.
Chen, Wen, et al.. (2018). Thyroid Imaging Reporting and Data System(TI-RADS): Interobserver variability and positive predictive value for assessment of thyroid nodules. Zhonghua chaosheng yingxiangxue zazhi. 27(5). 401–405. 1 indexed citations
17.
Tian, Lin, Peng Fu, Xianghui Dong, Jiping Qi, & Hong‐Jian Zhu. (2016). Eosinophilic pancreatitis: Three case reports and literature review. Molecular and Clinical Oncology. 4(4). 559–562. 24 indexed citations
18.
Yu, Lu, et al.. (2016). Comparison of the DWI and Gd-EOB-DTPA-enhanced MRI on assessing the hepatic ischemia and reperfusion injury after partial hepatectomy. Biomedicine & Pharmacotherapy. 86. 118–126. 8 indexed citations
19.
Yang, Zhaochuan, Mingji Yi, Ran Ni, et al.. (2013). Transforming growth factor-β1 induces bronchial epithelial cells to mesenchymal transition by activating the Snail pathway and promotes airway remodeling in asthma. Molecular Medicine Reports. 8(6). 1663–1668. 64 indexed citations
20.
Fu, Peng, et al.. (2010). Molecular Imaging of MDM2 Messenger RNA with 99mTc-Labeled Antisense Oligonucleotides in Experimental Human Breast Cancer Xenografts. Journal of Nuclear Medicine. 51(11). 1805–1812. 25 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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