Su Feng

1.2k total citations
35 papers, 593 citations indexed

About

Su Feng is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Su Feng has authored 35 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Su Feng's work include Alzheimer's disease research and treatments (6 papers), Memory and Neural Mechanisms (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Su Feng is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Memory and Neural Mechanisms (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Su Feng collaborates with scholars based in China, Australia and Ireland. Su Feng's co-authors include Naihe Jing, Ke Tang, Chunmei Yue, Ting Zhang, Lan Zhao, Yun Qian, Zhian Li, Yingwen Li, Ping Zhuang and Nannan Chen and has published in prestigious journals such as Nature Medicine, Scientific Reports and Psychopharmacology.

In The Last Decade

Su Feng

35 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Feng China 14 212 133 75 71 65 35 593
Guo Shao China 18 434 2.0× 121 0.9× 67 0.9× 119 1.7× 27 0.4× 64 960
Jun Fu China 16 313 1.5× 60 0.5× 85 1.1× 27 0.4× 73 1.1× 42 736
Cezary Grochowski Poland 20 284 1.3× 85 0.6× 60 0.8× 39 0.5× 61 0.9× 42 1.1k
Na Tang China 14 318 1.5× 107 0.8× 78 1.0× 22 0.3× 74 1.1× 45 875
Jun Kang South Korea 18 222 1.0× 163 1.2× 97 1.3× 39 0.5× 111 1.7× 26 828
Jyotshna Kanungo United States 18 290 1.4× 86 0.6× 101 1.3× 167 2.4× 17 0.3× 39 792
Miyuki Yamamoto Japan 17 263 1.2× 103 0.8× 133 1.8× 64 0.9× 90 1.4× 60 825
Chang Qing China 13 807 3.8× 106 0.8× 72 1.0× 50 0.7× 64 1.0× 31 1.5k

Countries citing papers authored by Su Feng

Since Specialization
Citations

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

Fields of papers citing papers by Su Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Su Feng. A scholar is included among the top collaborators of Su Feng 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 Su Feng. Su Feng 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.
Zhang, Wenchang, Ping Chen, Siyao Li, et al.. (2025). Amyloid-β oligomers drive amyloid deposit and cascaded tau pathology of Alzheimer's disease in aged brains of non-human primates. Journal of genetics and genomics. 52(11). 1367–1375. 4 indexed citations
2.
Wu, Lijuan, Fei Liu, Chuanlong Guo, et al.. (2024). Site-Specifically Modified Peptide Inhibitors of Protein Tyrosine Phosphatase 1B and T-Cell Protein Tyrosine Phosphatase with Enhanced Stability and Improved In Vivo Long-Acting Activity. ACS Pharmacology & Translational Science. 7(5). 1426–1437. 6 indexed citations
3.
Feng, Su, et al.. (2024). Impairment in acquisition of conditioned fear in people with depressive symptoms. Frontiers in Psychology. 15. 1384053–1384053. 1 indexed citations
4.
Yang, Xiong, Rong Wan, Zhiwen Liu, et al.. (2023). The differentiation and integration of the hippocampal dorsoventral axis are controlled by two nuclear receptor genes. eLife. 12. 2 indexed citations
5.
Yin, Jun, Yunjin Li, Yong Fang, et al.. (2023). Neoadjuvant adebrelimab in locally advanced resectable esophageal squamous cell carcinoma: a phase 1b trial. Nature Medicine. 29(8). 2068–2078. 42 indexed citations
6.
Mao, Yukang, et al.. (2023). Trends in worldwide research on cardiac fibrosis over the period 1989–2022: a bibliometric study. Frontiers in Cardiovascular Medicine. 10. 1182606–1182606. 4 indexed citations
7.
Feng, Su, Wei Zhang, Yunzhong Liu, et al.. (2023). The development and validation of pathological sections based U-Net deep learning segmentation model for the detection of esophageal mucosa and squamous cell neoplasm. Journal of Gastrointestinal Oncology. 14(5). 1982–1992. 2 indexed citations
8.
Xiong, Jian‐Bing, Shanshan Hu, Xiaoye Mo, et al.. (2023). Minimally invasive puncture combined with a high frequency of urokinase therapy improves outcomes in patients with HICH. Neurotherapeutics. 21(1). e00293–e00293. 2 indexed citations
9.
Yue, Chunmei, Su Feng, Yingying Chen, & Naihe Jing. (2022). The therapeutic prospects and challenges of human neural stem cells for the treatment of Alzheimer's Disease. Cell Regeneration. 11(1). 28–28. 12 indexed citations
10.
Feng, Su, et al.. (2020). A novel paradigm for assessing olfactory working memory capacity in mice. Translational Psychiatry. 10(1). 431–431. 4 indexed citations
11.
Zhao, Lan, Rui Zhang, Su Feng, et al.. (2020). FoxC1-Induced Vascular Niche Improves Survival and Myocardial Repair of Mesenchymal Stem Cells in Infarcted Hearts. Oxidative Medicine and Cellular Longevity. 2020. 1–17. 13 indexed citations
12.
Jiang, Lixin, et al.. (2020). Vortioxetine administration attenuates cognitive and synaptic deficits in 5×FAD mice. Psychopharmacology. 237(4). 1233–1243. 16 indexed citations
13.
Zhang, Ting, Ke Wei, Yun Qian, et al.. (2019). Human Neural Stem Cells Reinforce Hippocampal Synaptic Network and Rescue Cognitive Deficits in a Mouse Model of Alzheimer's Disease. Stem Cell Reports. 13(6). 1022–1037. 45 indexed citations
14.
Zhao, Lan, Shaoheng Zhang, Jin Cui, et al.. (2019). TERT assists GDF11 to rejuvenate senescent VEGFR2+/CD133+ cells in elderly patients with myocardial infarction. Laboratory Investigation. 99(11). 1661–1688. 13 indexed citations
15.
Zhuang, Ping, Shuo Sun, Su Feng, et al.. (2018). Dietary strategies to reduce the oral bioaccessibility of cadmium and arsenic in rice. Environmental Science and Pollution Research. 25(33). 33353–33360. 15 indexed citations
16.
Feng, Su, Yunbo Qiao, Ran Wang, et al.. (2017). Abnormal Paraventricular Nucleus of Hypothalamus and Growth Retardation Associated with Loss of Nuclear Receptor Gene COUP-TFII. Scientific Reports. 7(1). 5282–5282. 10 indexed citations
17.
Yang, Xiong, Su Feng, & Ke Tang. (2017). COUP - TF Genes, Human Diseases, and the Development of the Central Nervous System in Murine Models. Current topics in developmental biology. 125. 275–301. 22 indexed citations
18.
Zhuang, Ping, Yingwen Li, Bi Zou, et al.. (2016). Oral bioaccessibility and human exposure assessment of cadmium and lead in market vegetables in the Pearl River Delta, South China. Environmental Science and Pollution Research. 23(23). 24402–24410. 24 indexed citations
19.
Yue, Wei, Yuanyuan Li, Ting Zhang, et al.. (2015). ESC-Derived Basal Forebrain Cholinergic Neurons Ameliorate the Cognitive Symptoms Associated with Alzheimer’s Disease in Mouse Models. Stem Cell Reports. 5(5). 776–790. 77 indexed citations
20.
Feng, Su, Wentian Zhang, & Jianfang Liu. (2015). Membrane estrogen receptor alpha is an important modulator of bone marrow C-Kit+ cells mediated cardiac repair after myocardial infarction.. PubMed. 8(5). 4284–95. 7 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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