Fen Wang

2.8k total citations
39 papers, 805 citations indexed

About

Fen Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Fen Wang has authored 39 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Physiology. Recurrent topics in Fen Wang's work include Fibroblast Growth Factor Research (5 papers), Immune Response and Inflammation (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Fen Wang is often cited by papers focused on Fibroblast Growth Factor Research (5 papers), Immune Response and Inflammation (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Fen Wang collaborates with scholars based in China, United States and Japan. Fen Wang's co-authors include Yan Yuan, Tong Chen, Huihui Yu, Kunpeng Wu, Hua Jiang, Shu Wang, Xin Dai, Qiwang Lin, Zhengxu Sun and Fei He and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Fen Wang

34 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fen Wang China 16 392 133 121 109 81 39 805
Deok-Hoon Kong South Korea 10 337 0.9× 221 1.7× 103 0.9× 90 0.8× 126 1.6× 19 830
Ola H. Negm United Kingdom 18 478 1.2× 163 1.2× 85 0.7× 135 1.2× 209 2.6× 44 892
Zhengguang Guo China 20 622 1.6× 86 0.6× 128 1.1× 167 1.5× 64 0.8× 71 1.2k
Changming Zhang China 16 361 0.9× 134 1.0× 97 0.8× 118 1.1× 113 1.4× 78 851
Christopher R. Neal United Kingdom 17 413 1.1× 78 0.6× 128 1.1× 54 0.5× 101 1.2× 26 1.0k
Nicolas Magné France 14 268 0.7× 88 0.7× 101 0.8× 172 1.6× 135 1.7× 49 826
Ying Zheng China 21 556 1.4× 152 1.1× 127 1.0× 233 2.1× 166 2.0× 43 1.1k
Weng‐Lang Yang United States 16 402 1.0× 187 1.4× 72 0.6× 48 0.4× 92 1.1× 25 737

Countries citing papers authored by Fen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Wang. A scholar is included among the top collaborators of Fen Wang 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 Fen Wang. Fen Wang 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.
Sun, Jian, et al.. (2025). DT-GCNN: dynamic triplet network with GRU-CNN for enhanced text classification. International Journal of Machine Learning and Cybernetics. 16(11). 9555–9567.
2.
Zhu, Xiaohan, Jing Li, Haonan Peng, et al.. (2025). Rhodium-catalyzed construction of boron-based point and axial chirality via asymmetric annulation of alkynylborons. Nature Communications. 16(1). 9764–9764.
3.
Liu, Ziying, et al.. (2023). Aziridination-Assisted Mass Spectrometry of Nonpolar Sterol Lipids with Isomeric Resolution. Journal of the American Society for Mass Spectrometry. 34(9). 1998–2005. 11 indexed citations
4.
Liu, Yun, et al.. (2023). Towards reliable and explainable AI model for pulmonary nodule diagnosis. Biomedical Signal Processing and Control. 88. 105646–105646. 6 indexed citations
5.
Liang, H., et al.. (2023). Upregulation of TLR5 indicates a favorable prognosis in prostate cancer. The Prostate. 83(11). 1035–1045. 4 indexed citations
6.
Huang, Yimin, et al.. (2023). Development and psychometric evaluation of public stigma of stroke scale (PSSS). Scientific Reports. 13(1). 545–545. 3 indexed citations
7.
Xu, Duo, Fan Yang, Fen Wang, et al.. (2022). Novel STING-targeted PET radiotracer for alert and therapeutic evaluation of acute lung injury. Acta Pharmaceutica Sinica B. 13(5). 2124–2137. 15 indexed citations
8.
Qi, Xiaoyan, et al.. (2021). Nicotine Exacerbates TAAD Formation Induced by Smooth Muscle-Specific Deletion of the TGF-β Receptor 2. Journal of Immunology Research. 2021. 1–17. 9 indexed citations
9.
Cheng, Xiaoli, et al.. (2020). 18α-Glycyrrhetinic acid (GA) ameliorates fructose-induced nephropathy in mice by suppressing oxidative stress, dyslipidemia and inflammation. Biomedicine & Pharmacotherapy. 125. 109702–109702. 22 indexed citations
10.
Deng, Yan, Shenglan Guo, Shanshan Xie, et al.. (2020). Interferon regulatory factor 7 inhibits rat vascular smooth muscle cell proliferation and inflammation in monocrotaline-induced pulmonary hypertension. Life Sciences. 264. 118709–118709. 17 indexed citations
11.
Wang, Cong, Ziying Liu, Yuepeng Ke, & Fen Wang. (2019). Intrinsic FGFR2 and Ectopic FGFR1 Signaling in the Prostate and Prostate Cancer. Frontiers in Genetics. 10. 12–12. 25 indexed citations
12.
Wang, Fen, Dan Wei, Yuanzhen Suo, et al.. (2019). In vivo flow cytometry combined with intravital microscopy to monitor kinetics of transplanted bone marrow mononuclear cells in peripheral blood and bone marrow. Molecular Biology Reports. 47(1). 1–10. 20 indexed citations
13.
Liu, Junchen, Guo Chen, Zezhen Liu, et al.. (2018). Aberrant FGFR Tyrosine Kinase Signaling Enhances the Warburg Effect by Reprogramming LDH Isoform Expression and Activity in Prostate Cancer. Cancer Research. 78(16). 4459–4470. 88 indexed citations
14.
Chen, Ya-Ling, Yi Gao, Cai Chang, et al.. (2018). Ultrasound shear wave elastography of breast lesions: correlation of anisotropy with clinical and histopathological findings. Cancer Imaging. 18(1). 11–11. 29 indexed citations
15.
Wang, Cong, Yuepeng Ke, Shaoyou Liu, et al.. (2018). Ectopic fibroblast growth factor receptor 1 promotes inflammation by promoting nuclear factor-κB signaling in prostate cancer cells. Journal of Biological Chemistry. 293(38). 14839–14849. 37 indexed citations
16.
Li, Jieying, Liyong Wu, Yi Tang, et al.. (2018). Differentiation of neuropsychological features between posterior cortical atrophy and early onset Alzheimer’s disease. BMC Neurology. 18(1). 65–65. 12 indexed citations
18.
Shi, Zhongcheng, Jingcui Yu, Tingting Zhang, et al.. (2012). Toll-like Receptor 11 (TLR11) Prevents Salmonella Penetration into the Murine Peyer Patches. Journal of Biological Chemistry. 287(52). 43417–43423. 20 indexed citations
19.
Wang, Min, Li Yang, Xiumei Zuo, et al.. (2010). The relationship between ADAM17 promoter polymorphisms and sporadic Alzheimer’s disease in a Northern Chinese Han population. Journal of Clinical Neuroscience. 17(10). 1276–1279. 6 indexed citations
20.
Wang, Fen, et al.. (2009). [Propofol combined with midazolam intravenous sedation anesthesia in pediatric upper gastrointestinal endoscopy].. PubMed. 34(7). 595–8. 3 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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