Feng Guan

3.5k total citations · 1 hit paper
124 papers, 2.4k citations indexed

About

Feng Guan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Feng Guan has authored 124 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 35 papers in Immunology and 25 papers in Cancer Research. Recurrent topics in Feng Guan's work include Glycosylation and Glycoproteins Research (48 papers), Galectins and Cancer Biology (26 papers) and Extracellular vesicles in disease (13 papers). Feng Guan is often cited by papers focused on Glycosylation and Glycoproteins Research (48 papers), Galectins and Cancer Biology (26 papers) and Extracellular vesicles in disease (13 papers). Feng Guan collaborates with scholars based in China, United States and Japan. Feng Guan's co-authors include Zengqi Tan, Ganglong Yang, Xiaoman Zhou, Kazuko Handa, Sen‐itiroh Hakomori, Jia Guo, Jingping Yuan, Xiang Li, Bin Luo and Xiaoyan Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Feng Guan

117 papers receiving 2.4k citations

Hit Papers

Cisplatin Induces Pyroptosis via Activation of MEG3/NLRP3... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Guan China 29 1.7k 537 425 273 208 124 2.4k
Prabhudas S. Patel India 28 1.5k 0.9× 364 0.7× 571 1.3× 558 2.0× 170 0.8× 135 2.8k
Oi Lian Kon Singapore 28 1.4k 0.8× 632 1.2× 546 1.3× 336 1.2× 118 0.6× 72 2.5k
Lijun Yang China 32 1.8k 1.1× 392 0.7× 591 1.4× 277 1.0× 116 0.6× 99 2.6k
Wantao Ying China 27 2.0k 1.2× 272 0.5× 356 0.8× 183 0.7× 170 0.8× 108 2.6k
Yingqi Zhang China 28 1.3k 0.8× 425 0.8× 482 1.1× 471 1.7× 517 2.5× 127 2.8k
Yingjie Xu China 26 1.7k 1.0× 251 0.5× 395 0.9× 312 1.1× 122 0.6× 92 2.8k
Ali Bettaı̈eb France 39 2.2k 1.3× 727 1.4× 339 0.8× 733 2.7× 274 1.3× 132 4.0k
Lingyun Dai China 24 1.3k 0.8× 241 0.4× 408 1.0× 215 0.8× 98 0.5× 72 2.0k
Anna Long United Kingdom 13 1.3k 0.8× 277 0.5× 418 1.0× 681 2.5× 138 0.7× 20 2.6k

Countries citing papers authored by Feng Guan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Guan. A scholar is included among the top collaborators of Feng Guan 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 Feng Guan. Feng Guan 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.
Wang, Xin, et al.. (2024). NCAM and attached polysialic acid affect behaviors of breast epithelial cells through differential signaling pathways. Acta Biochimica et Biophysica Sinica. 56(11). 1584–1593. 2 indexed citations
4.
Cao, Lin, Yue Zhou, Shuai Lin, et al.. (2024). The trajectory of vesicular proteomic signatures from HBV‐HCC by chitosan‐magnetic bead‐based separation and DIA‐proteomic analysis. Journal of Extracellular Vesicles. 13(9). e12499–e12499. 6 indexed citations
5.
Guan, Feng, et al.. (2024). Preparation and characterization of Tobacco polysaccharides and its modulation on hyperlipidemia in high-fat-diet-induced mice. Scientific Reports. 14(1). 26860–26860. 2 indexed citations
6.
Zhang, Ailin, John Huang, Yutong Liu, et al.. (2024). Hyaluronic acid application strategies for plant bioactive component delivery: A review. International Journal of Biological Macromolecules. 282(Pt 3). 137129–137129. 4 indexed citations
7.
Cui, Zhiwei, Yu Zhang, Ping Song, et al.. (2024). Integrated pan-cancer analysis and experimental verification of the roles of meiotic nuclear divisions 1 in breast cancer. Biochemical and Biophysical Research Communications. 739. 150600–150600.
8.
Wang, Bowen, et al.. (2024). Impaired bisecting GlcNAc reprogrammed M1 polarization of macrophage. Cell Communication and Signaling. 22(1). 73–73. 4 indexed citations
9.
Lei, Lei, Yi Wang, Rui Liu, et al.. (2023). Transfer of miR‐4755‐5p through extracellular vesicles and particles induces decitabine resistance in recipient cells by targeting CDKN2B. Molecular Carcinogenesis. 62(6). 743–753. 5 indexed citations
10.
Ren, Xiaoyue, Teng Qi, Pengyu Yang, et al.. (2023). Clusterin Is a Prognostic Biomarker of Lower-Grade Gliomas and Is Associated with Immune Cell Infiltration. International Journal of Molecular Sciences. 24(17). 13413–13413. 4 indexed citations
11.
Chen, Qiushi, Keren Zhang, Jie Liu, et al.. (2022). Profiling the Bisecting N-Acetylglucosamine Modification in Amniotic Membrane via Mass Spectrometry. Genomics Proteomics & Bioinformatics. 20(4). 648–656. 7 indexed citations
12.
Guan, Feng, Qi Wang, Yongping Bao, & Yimin Chao. (2021). Anti-rheumatic effect of quercetin and recent developments in nano formulation. RSC Advances. 11(13). 7280–7293. 34 indexed citations
13.
Chen, Fangfang, Shuai Yin, Bin Luo, et al.. (2021). VDAC1 Conversely Correlates with Cytc Expression and Predicts Poor Prognosis in Human Breast Cancer Patients. Oxidative Medicine and Cellular Longevity. 2021(1). 7647139–7647139. 7 indexed citations
14.
Wong, Jeannie Hsiu Ding, et al.. (2021). The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review. Radiography. 28(1). 208–214. 35 indexed citations
15.
B, Dai, Zhijian Xiao, Guodong Zhu, et al.. (2020). WD Repeat Domain 5 Promotes Invasion, Metastasis and Tumor Growth in Glioma Through Up-Regulated Zinc Finger E-Box Binding Homeobox 1 Expression. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Wang, Meng, Xinghan Liu, Shuai Lin, et al.. (2018). FABP1 Polymorphisms Contribute to Hepatocellular Carcinoma Susceptibility in Chinese Population with Liver Cirrhosis: A Case-Control Study. Journal of Cancer. 9(22). 4294–4300. 10 indexed citations
17.
Guan, Feng, et al.. (2018). Multiple Roles of Glycans in Hematological Malignancies. Frontiers in Oncology. 8. 364–364. 35 indexed citations
18.
Li, Xiang, et al.. (2015). Quantitative analysis of glycans, related genes, and proteins in two human bone marrow stromal cell lines using an integrated strategy. Experimental Hematology. 43(9). 760–769.e7. 6 indexed citations
19.
Guan, Feng. (2010). Key Inbred Lines Cluster Analysis and Heterosis Model Analysis of Different Period Maize Hybrids in China. 1 indexed citations
20.
Guan, Feng. (2007). Studies on the Active Compounds to Relieve Cough and Dyspnea from Rhododendron dauricum. Lishizhen Medicine and Materia Medica Research. 2 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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