Min Yang

6.0k total citations · 1 hit paper
177 papers, 4.7k citations indexed

About

Min Yang is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Min Yang has authored 177 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 43 papers in Epidemiology and 41 papers in Immunology. Recurrent topics in Min Yang's work include Neuroendocrine Tumor Research Advances (17 papers), Immune Cell Function and Interaction (13 papers) and Lung Cancer Research Studies (13 papers). Min Yang is often cited by papers focused on Neuroendocrine Tumor Research Advances (17 papers), Immune Cell Function and Interaction (13 papers) and Lung Cancer Research Studies (13 papers). Min Yang collaborates with scholars based in China, United States and Hong Kong. Min Yang's co-authors include Cris Glazebrook, Stephen Weng, J. A. Swift, Sarah Redsell, Binfeng Lu, Guo‐Ping Shi, Jiusong Sun, Galina K. Sukhova, Peter Libby and Lindsey A. MacFarlane and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Min Yang

169 papers receiving 4.7k citations

Hit Papers

Systematic review and meta-analyses of risk factors for c... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Yang China 32 1.5k 1.2k 956 843 597 177 4.7k
Gwan Gyu Song South Korea 44 2.9k 1.9× 1.8k 1.4× 983 1.0× 954 1.1× 408 0.7× 457 9.1k
Carlo Perricone Italy 49 2.4k 1.6× 1.1k 0.9× 494 0.5× 610 0.7× 341 0.6× 241 6.8k
Bernhard Banas Germany 41 1.6k 1.0× 1.4k 1.1× 755 0.8× 610 0.7× 291 0.5× 185 6.0k
Maria Bokarewa Sweden 41 2.1k 1.4× 1.7k 1.4× 707 0.7× 1.5k 1.8× 380 0.6× 163 6.4k
Jeremy Sokolove United States 39 1.6k 1.1× 1.6k 1.3× 666 0.7× 453 0.5× 451 0.8× 95 7.0k
Igor Theurl Austria 49 1.7k 1.1× 1.4k 1.1× 607 0.6× 1.1k 1.3× 352 0.6× 119 8.1k
Dan Aderka Israel 30 2.2k 1.4× 1.1k 0.9× 1.4k 1.4× 828 1.0× 625 1.0× 122 5.5k
Andrzej Pawlik Poland 33 1.1k 0.7× 1.2k 0.9× 564 0.6× 393 0.5× 272 0.5× 350 4.6k
Kevin Woollard United Kingdom 32 2.4k 1.5× 1.3k 1.1× 636 0.7× 1.2k 1.4× 373 0.6× 80 5.4k
Yeong Wook Song South Korea 46 2.1k 1.4× 1.6k 1.3× 972 1.0× 1.4k 1.7× 427 0.7× 309 8.3k

Countries citing papers authored by Min Yang

Since Specialization
Citations

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

Fields of papers citing papers by Min Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Yang. A scholar is included among the top collaborators of Min Yang 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 Yang. Min Yang 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
2.
Xing, Bowen, Min Yang, Jun Shang, et al.. (2025). Splicing Shift of RAC1 Accelerates Tumorigenesis and Defines a Potent Therapeutic Target in Lung Cancer. Advanced Science. 12(33). e03322–e03322.
3.
Wang, Minjie, Tianfeng Hua, Yijun Zhang, et al.. (2024). Effects of canagliflozin preconditioning on post-resuscitation myocardial function in a diabetic rat model of cardiac arrest and cardiopulmonary resuscitation. European Journal of Pharmacology. 988. 177212–177212. 2 indexed citations
4.
Wu, Wenhui, et al.. (2023). Dietary inflammatory index is associated with Vitamin D in CKD patients. International Urology and Nephrology. 56(1). 335–344. 4 indexed citations
5.
Yang, Min, et al.. (2022). Acylcarnitines: Can They Be Biomarkers of Diabetic Nephropathy?. SHILAP Revista de lepidopterología. 11 indexed citations
6.
Yang, Min, Chao Feng, Mathilde Feist, et al.. (2021). IL-36γ-armed oncolytic virus exerts superior efficacy through induction of potent adaptive antitumor immunity. Cancer Immunology Immunotherapy. 70(9). 2467–2481. 18 indexed citations
7.
Wang, Ming, et al.. (2020). miR-548a-3p Weakens the Tumorigenesis of Colon Cancer Through Targeting TPX2. Cancer Biotherapy and Radiopharmaceuticals. 37(10). 917–926. 6 indexed citations
8.
Yang, Min, et al.. (2019). Lentiviral‐mediated silencing of mast cell‐expressed membrane protein 1 promotes angiogenesis of rats with cerebral ischemic stroke. Journal of Cellular Biochemistry. 120(10). 16786–16797. 12 indexed citations
9.
Liu, Lin, Hui Yang, Su‐Juan Kuang, et al.. (2019). Comparison of Ca<sup>2+</sup> Handling for the Regulation of Vasoconstriction between Rat Coronary and Renal Arteries. Journal of Vascular Research. 56(4). 191–203. 4 indexed citations
10.
Yang, Min, Gen Chen, Xue Zhang, et al.. (2018). A novel MyD88 inhibitor attenuates allograft rejection after heterotopic tracheal transplantation in mice. Transplant Immunology. 53. 1–6. 4 indexed citations
11.
Yin, Geng, et al.. (2017). Identification of Palmitoleic Acid Controlled by mTOR Signaling as a Biomarker of Polymyositis. Journal of Immunology Research. 2017. 1–7. 8 indexed citations
12.
Shi, Liangrong, Lujun Chen, Changping Wu, et al.. (2016). PD-1 Blockade Boosts Radiofrequency Ablation–Elicited Adaptive Immune Responses against Tumor. Clinical Cancer Research. 22(5). 1173–1184. 244 indexed citations
13.
Wang, Xin, et al.. (2016). An enriched environment enhances synaptic plasticity and cognition post-stroke. Zhonghua wuli yixue zazhi. 38(9). 647–651. 1 indexed citations
14.
Lu, Binfeng, Min Yang, & Qingqing Wang. (2016). Interleukin-33 in tumorigenesis, tumor immune evasion, and cancer immunotherapy. Journal of Molecular Medicine. 94(5). 535–543. 89 indexed citations
15.
Yang, Min, Chunlu Tan, Yi Zhang, et al.. (2016). Applications of a novel tumor-grading-metastasis staging system for pancreatic neuroendocrine tumors. Medicine. 95(28). e4213–e4213. 9 indexed citations
16.
Yang, Min, Yi Zhang, Weiguo Wang, et al.. (2015). TNM Staging of Pancreatic Neuroendocrine Tumors. Medicine. 94(12). e660–e660. 33 indexed citations
17.
Huang, Wei, Yigang Wang, Zhi‐Xin Shan, et al.. (2013). Fn14 Promotes Differentiation of Human Mesenchymal Stem Cells into Heart Valvular Interstitial Cells by Phenotypic Characterization. Journal of Cellular Physiology. 229(5). 580–587. 17 indexed citations
18.
Chen, Shaoxian, Juli Liu, Xiaoying Liu, et al.. (2011). Panax notoginseng saponins inhibit ischemia-induced apoptosis by activating PI3K/Akt pathway in cardiomyocytes. Journal of Ethnopharmacology. 137(1). 263–270. 97 indexed citations
19.
Yang, Min, Lingyun Sun, Shengjun Wang, et al.. (2010). Cutting Edge: Novel Function of B Cell-Activating Factor in the Induction of IL-10–Producing Regulatory B Cells. The Journal of Immunology. 184(7). 3321–3325. 199 indexed citations
20.
Ma, Jie, Shengjun Wang, Bin Ma, et al.. (2010). Dendritic cells engineered to express GITRL enhance therapeutic immunity in murine Lewis lung carcinoma. Cancer Letters. 301(2). 142–150. 10 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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