Min Feng

4.3k total citations
112 papers, 2.9k citations indexed

About

Min Feng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Min Feng has authored 112 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 24 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Min Feng's work include MicroRNA in disease regulation (11 papers), Liver Disease Diagnosis and Treatment (11 papers) and Liver physiology and pathology (8 papers). Min Feng is often cited by papers focused on MicroRNA in disease regulation (11 papers), Liver Disease Diagnosis and Treatment (11 papers) and Liver physiology and pathology (8 papers). Min Feng collaborates with scholars based in China, United States and Singapore. Min Feng's co-authors include Qiang Yu, Puay Leng Lee, Xiaojing Yang, Zhimei Li, Xia Jiang, Zhenlong Wu, Sylvia Mahara, Ern Yu Tan, Bao Yi and Wenxian Guan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Min Feng

107 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Feng China 29 1.6k 887 626 391 309 112 2.9k
Zhi Yang China 30 1.6k 1.0× 891 1.0× 832 1.3× 306 0.8× 310 1.0× 113 3.0k
Guoxiong Xu China 31 1.8k 1.1× 905 1.0× 561 0.9× 391 1.0× 326 1.1× 145 3.5k
Yiming Zhao China 31 1.4k 0.9× 679 0.8× 660 1.1× 545 1.4× 306 1.0× 102 2.9k
Yu‐Shui Ma China 31 1.9k 1.2× 1.3k 1.5× 619 1.0× 332 0.8× 224 0.7× 117 3.0k
Gang Huang China 31 1.4k 0.9× 1.0k 1.1× 572 0.9× 559 1.4× 322 1.0× 86 2.8k
Xue Gao China 33 2.3k 1.4× 1.5k 1.7× 431 0.7× 313 0.8× 312 1.0× 106 3.8k
Lu Sun China 31 1.4k 0.9× 490 0.6× 545 0.9× 360 0.9× 343 1.1× 127 2.9k
Ying Chang China 26 1.5k 0.9× 1.1k 1.3× 542 0.9× 283 0.7× 524 1.7× 64 2.9k
Shuai Zhang China 30 1.3k 0.8× 830 0.9× 491 0.8× 237 0.6× 214 0.7× 183 2.7k

Countries citing papers authored by Min Feng

Since Specialization
Citations

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

Fields of papers citing papers by Min Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Min Feng. A scholar is included among the top collaborators of Min 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 Min Feng. Min 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.
2.
Zhang, Wei, Tianyuan Li, Ergeng Hao, et al.. (2025). A Multi-PTM omics atlas uncovers novel aging regulators in colorectal cancer. BMC Cancer. 26(1). 140–140.
3.
Guo, Chaofan, Weijie Lin, Sungho Jin, Dongliang Zhao, & Min Feng. (2024). Regional coupling coordination and driving mechanisms of high-quality economic development and carbon emission intensity in Chinese provinces. Ecological Frontiers. 45(2). 463–471. 6 indexed citations
4.
Feng, Min, et al.. (2023). Administration of necrostatin-1 ameliorates glucocorticoid-induced osteonecrosis of the femoral head in rats. Journal of Molecular Histology. 54(3). 207–216. 5 indexed citations
5.
Shen, Xuefeng, et al.. (2021). Clinical effects of high-intensity laser therapy on patients with chronic refractory wounds: a randomised controlled trial. BMJ Open. 11(7). e045866–e045866. 13 indexed citations
6.
Feng, Min, et al.. (2021). Asymptomatic Pulmonary Embolism After Shoulder Arthroscopy: Case Report and Literature Review. Orthopaedic Surgery. 13(3). 1119–1125. 4 indexed citations
7.
Xu, Lian, Ryan C. Gimple, Wayne Bond Lau, et al.. (2020). THE PRESENT AND FUTURE OF THE MASS SPECTROMETRY‐BASED INVESTIGATION OF THE EXOSOME LANDSCAPE. Mass Spectrometry Reviews. 39(5-6). 745–762. 25 indexed citations
8.
9.
Feng, Min, Fei Fang, Ting Fang, et al.. (2020). Sox13 promotes hepatocellular carcinoma metastasis by transcriptionally activating Twist1. Laboratory Investigation. 100(11). 1400–1410. 24 indexed citations
10.
Wang, Yanlin, Shulan Zhang, Min Feng, et al.. (2019). Metformin attenuates bleomycin-induced scleroderma by regulating the balance of Treg/Teff cells and reducing spleen germinal center formation. Molecular Immunology. 114. 72–80. 17 indexed citations
11.
Shi, Linsen, Ji Miao, Shangce Du, et al.. (2019). Adenosine interaction with adenosine receptor A2a promotes gastric cancer metastasis by enhancing PI3K–AKT–mTOR signaling. Molecular Biology of the Cell. 30(19). 2527–2534. 60 indexed citations
12.
Wang, Wenyu, Keng Gat Lim, Min Feng, et al.. (2018). KDM6B Counteracts EZH2-Mediated Suppression of IGFBP5 to Confer Resistance to PI3K/AKT Inhibitor Treatment in Breast Cancer. Molecular Cancer Therapeutics. 17(9). 1973–1983. 39 indexed citations
13.
Feng, Min, Xin Hu, Na Li, et al.. (2018). Distinctive roles of Rac1 and Rab29 in LRRK2 mediated membrane trafficking and neurite outgrowth. Journal of Biomedical Research. 32(2). 145–145. 11 indexed citations
14.
Liang, Shaohua, Pengtao Li, Chengrong Xie, et al.. (2018). Speckle-type POZ protein suppresses hepatocellular carcinoma cell migration and invasion via ubiquitin-dependent proteolysis of SUMO1/sentrin specific peptidase 7. Biochemical and Biophysical Research Communications. 502(1). 30–42. 20 indexed citations
15.
Shen, Jiajia, Pengyu Li, Xuejing Shao, et al.. (2017). The E3 Ligase RING1 Targets p53 for Degradation and Promotes Cancer Cell Proliferation and Survival. Cancer Research. 78(2). 359–371. 51 indexed citations
16.
Luo, Zhongyue, Wayne Bond Lau, Bonnie Lau, et al.. (2016). Tumor microenvironment: The culprit for ovarian cancer metastasis?. Cancer Letters. 377(2). 174–182. 144 indexed citations
17.
Liu, Song, Jie Ding, Meng Wang, et al.. (2016). Occupational risk for Crohn's disease: A two-center study. Digestive and Liver Disease. 48(11). 1318–1322. 3 indexed citations
18.
Lee, Shuet Theng, Min Feng, Yong Wei, et al.. (2013). Protein tyrosine phosphatase UBASH3B is overexpressed in triple-negative breast cancer and promotes invasion and metastasis. Proceedings of the National Academy of Sciences. 110(27). 11121–11126. 55 indexed citations
19.
Tan, Jing, Zhimei Li, Puay Leng Lee, et al.. (2013). PDK1 Signaling Toward PLK1–MYC Activation Confers Oncogenic Transformation, Tumor-Initiating Cell Activation, and Resistance to mTOR-Targeted Therapy. Cancer Discovery. 3(10). 1156–1171. 115 indexed citations
20.
Xu, He N., Seung‐Cheol Lee, Min Feng, et al.. (2013). Mapping the Redox State of CHOP-Treated Non-Hodgkin’s Lymphoma Xenografts in Mice. Advances in experimental medicine and biology. 789. 243–249. 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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