Peng-Fei Yan

852 total citations
46 papers, 655 citations indexed

About

Peng-Fei Yan is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Peng-Fei Yan has authored 46 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Epidemiology and 9 papers in Genetics. Recurrent topics in Peng-Fei Yan's work include Glioma Diagnosis and Treatment (8 papers), Meningioma and schwannoma management (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Peng-Fei Yan is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Meningioma and schwannoma management (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Peng-Fei Yan collaborates with scholars based in China, Canada and United States. Peng-Fei Yan's co-authors include Dongdong Xiao, Tingting Hu, Hongyang Zhao, Fangcheng Zhang, Jun Feng, Hongyang Zhao, Min Feng, Zhi-Jiang Zhang, Jun Feng and Zhen Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and The American Journal of Cardiology.

In The Last Decade

Peng-Fei Yan

42 papers receiving 650 citations

Peers

Peng-Fei Yan
Guangyong Chen China
Seyed‐Mostafa Razavi United States
Hong‐Long Ji United States
Miao Guo China
Federico Moriconi Germany
Mingshan Zhang China
Haiyan Zhao China
Marion Muhly-Reinholz Germany
Yuxuan Liu China
Guangyong Chen China
Peng-Fei Yan
Citations per year, relative to Peng-Fei Yan Peng-Fei Yan (= 1×) peers Guangyong Chen

Countries citing papers authored by Peng-Fei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Peng-Fei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng-Fei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Peng-Fei Yan. A scholar is included among the top collaborators of Peng-Fei Yan 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-Fei Yan. Peng-Fei Yan 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.
Yan, Peng-Fei, Liangyu Wang, Jia Xu, et al.. (2025). Shrimp peptide QMDDQ improves scopolamine-induced memory impairments by activating the Notch1 signaling pathway. Food Bioscience. 65. 106041–106041.
2.
Yan, Peng-Fei, et al.. (2025). Improvement of interfacial, antioxidant, and emulsifying properties of pectin by grafting surfactin. International Journal of Biological Macromolecules. 307(Pt 2). 142091–142091. 1 indexed citations
3.
Liu, Zhifeng, Yi Shi, Peng-Fei Yan, et al.. (2025). Analysis of pigment cell differences and carotenoid content in the skin of golden turbot (Scophthalmus maximus) with color variation. Aquaculture Reports. 42. 102848–102848.
4.
5.
Yan, Kaixuan, Qiangping Wang, Peng-Fei Yan, & Xiaobin Jiang. (2025). Progress in the application of stem cell therapy for moyamoya disease. Biochemical and Biophysical Research Communications. 778. 152325–152325.
6.
Xu, Haining, Peng-Fei Yan, Mengyuan Yang, et al.. (2024). Application of fixed‐frequency ultrasound in the cultivation of Saccharomyces cerevisiae for rice wine fermentation. Journal of the Science of Food and Agriculture. 104(11). 6417–6430. 9 indexed citations
7.
Zhao, Zhen, Lei Zhao, Dongdong Xiao, et al.. (2023). Multi-parametric MRI-based machine learning model for prediction of WHO grading in patients with meningiomas. European Radiology. 34(4). 2468–2479. 19 indexed citations
8.
Dai, Chunhua, Xueting Xu, Peng-Fei Yan, et al.. (2023). Enhancing the growth of thermophilic Bacillus licheniformis YYC4 by low-intensity fixed-frequency continuous ultrasound. Ultrasonics Sonochemistry. 100. 106611–106611. 8 indexed citations
9.
Yan, Peng-Fei, et al.. (2023). M1 macrophage-derived exosomes containing miR-150 inhibit glioma progression by targeting MMP16. Cellular Signalling. 108. 110731–110731. 13 indexed citations
10.
Yan, Peng-Fei, Yongbo Wang, Xue Yu, Yu Liu, & Zhi-Jiang Zhang. (2021). Type 2 diabetes mellitus and risk of head and neck cancer subtypes: a systematic review and meta-analysis of observational studies. Acta Diabetologica. 58(5). 549–565. 11 indexed citations
11.
Yan, Peng-Fei, Yongbo Wang, Xue Yu, Yu Liu, & Zhi-Jiang Zhang. (2021). Correction to: Maternal diabetes and risk of childhood malignancies in the offspring: a systematic review and meta‑analysis of observational studies. Acta Diabetologica. 58(2). 169–169. 8 indexed citations
12.
Xiao, Dongdong, Jiawei Shi, Mengting Zhou, et al.. (2021). Tumor volume and the dural tail sign enable the differentiation of intracranial solitary fibrous tumor/hemangiopericytoma from high-grade meningioma. Clinical Neurology and Neurosurgery. 207. 106769–106769. 4 indexed citations
13.
Yan, Peng-Fei, et al.. (2020). Expression of Microrna-210 and the Prognosis in Glioma Patients: A Meta-Analysis. Biomarkers in Medicine. 14(9). 795–805. 5 indexed citations
14.
Lin, Minhua, et al.. (2019). Can Systemic Inflammatory Markers Be Used to Predict the Pathological Grade of Meningioma Before Surgery?. World Neurosurgery. 127. e677–e684. 13 indexed citations
15.
Sun, Yun, et al.. (2019). Characteristics and prognostic factors of age-stratified high-grade intracranial glioma patients: A population-based analysis. Bosnian Journal of Basic Medical Sciences. 19(4). 375–383. 10 indexed citations
16.
Xiao, Dongdong, et al.. (2018). Glioblastoma and primary central nervous system lymphoma: Preoperative differentiation by using MRI-based 3D texture analysis. Clinical Neurology and Neurosurgery. 173. 84–90. 40 indexed citations
17.
Niu, Xuan, et al.. (2018). Closure of patent foramen ovale for cryptogenic stroke patients: an updated systematic review and meta-analysis of randomized trials. Journal of Neurology. 265(6). 1259–1268. 9 indexed citations
18.
Yan, Peng-Fei, Tingting Hu, Dongdong Xiao, et al.. (2017). The Potential Value of Preoperative MRI Texture and Shape Analysis in Grading Meningiomas: A Preliminary Investigation. Translational Oncology. 10(4). 570–577. 85 indexed citations
19.
Yan, Peng-Fei, et al.. (2016). Accuracy of conventional MRI for preoperative diagnosis of intracranial tumors: A retrospective cohort study of 762 cases. International Journal of Surgery. 36(Pt A). 109–117. 31 indexed citations
20.

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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