Min Liang

1.0k total citations · 1 hit paper
9 papers, 731 citations indexed

About

Min Liang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nephrology. According to data from OpenAlex, Min Liang has authored 9 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Nephrology. Recurrent topics in Min Liang's work include Chronic Kidney Disease and Diabetes (2 papers), Kawasaki Disease and Coronary Complications (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). Min Liang is often cited by papers focused on Chronic Kidney Disease and Diabetes (2 papers), Kawasaki Disease and Coronary Complications (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). Min Liang collaborates with scholars based in China, United States and Taiwan. Min Liang's co-authors include Fan Fan Hou, Di Xie, Jian Jiang, Guo Bao Wang, Xun Zhang, Guo Hua Zhang, Xun Zhang, Zhi Guo, Qing Yang and Bo Bian and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Society of Nephrology and Psychosomatic Medicine.

In The Last Decade

Min Liang

7 papers receiving 704 citations

Hit Papers

Efficacy and Safety of Be... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Liang China 4 438 339 192 131 60 9 731
Noriaki Maruyama Japan 18 179 0.4× 250 0.7× 324 1.7× 59 0.5× 156 2.6× 48 924
B. Ya. Bart Russia 7 683 1.6× 130 0.4× 52 0.3× 160 1.2× 9 0.1× 17 1.5k
Luigi Ferrara Italy 7 414 0.9× 303 0.9× 63 0.3× 106 0.8× 28 0.5× 11 693
Takahiro Shoji Japan 12 116 0.3× 293 0.9× 102 0.5× 161 1.2× 12 0.2× 30 854
K. Katopodis Greece 13 113 0.3× 361 1.1× 74 0.4× 67 0.5× 18 0.3× 40 781
Seung-Jung Kim South Korea 17 152 0.3× 331 1.0× 75 0.4× 147 1.1× 10 0.2× 41 793
Mona Razavian Australia 6 176 0.4× 205 0.6× 52 0.3× 106 0.8× 5 0.1× 7 470
Aida Yared United States 10 125 0.3× 144 0.4× 54 0.3× 125 1.0× 13 0.2× 16 601
Beth A. Soffer United States 8 339 0.8× 72 0.2× 214 1.1× 36 0.3× 9 0.1× 9 514
Margus Annuk Sweden 8 230 0.5× 261 0.8× 60 0.3× 83 0.6× 4 0.1× 13 691

Countries citing papers authored by Min Liang

Since Specialization
Citations

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

Fields of papers citing papers by Min Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Min Liang. A scholar is included among the top collaborators of Min Liang 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 Liang. Min Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Li, Songbo, Shanshan Mo, Shuo Wang, et al.. (2024). RNA modification Regulators’ Co-Expression Score (RMRCoeS) predicts biochemical recurrence and therapy response in prostate cancer: A multi-omics and experimental validation study. International Immunopharmacology. 139. 112723–112723. 3 indexed citations
2.
Zhu, Wei, et al.. (2024). Association between coffee intake and skeletal muscle mass among U.S. adults: a population-based study. Frontiers in Nutrition. 11. 1390309–1390309. 2 indexed citations
3.
Liang, Min, Bo Bian, & Qing Yang. (2022). Characteristics and long‐term prognosis of patients with reduced, mid‐range, and preserved ejection fraction: A systemic review and meta‐analysis. Clinical Cardiology. 45(1). 5–17. 24 indexed citations
4.
Li, Huan, Panpan He, Yuanyuan Zhang, et al.. (2021). Self-Perceived Psychological Stress and Risk of First Stroke in Treated Hypertensive Patients. Psychosomatic Medicine. 84(2). 237–243. 3 indexed citations
5.
Li, Youbao, Liling Xie, Xianglin Zhang, et al.. (2018). U-Shaped Association between Serum Albumin and Development of Chronic Kidney Disease in General Hypertensive Patients. SSRN Electronic Journal. 1 indexed citations
6.
Wang, Zhijian, et al.. (2016). [Renal artery injury caused by Kawasaki disease].. PubMed. 18(1). 29–33.
7.
Liang, Min, et al.. (2013). Clinical similarities and differences in Kawasaki disease during 1991-2001 and 2002-2011 periods. Zhonghua shiyong erke linchuang zazhi. 28(9). 686–689. 1 indexed citations
8.
Hou, Fan Fan, Di Xie, Xun Zhang, et al.. (2007). Renoprotection of Optimal Antiproteinuric Doses (ROAD) Study. Journal of the American Society of Nephrology. 18(6). 1889–1898. 193 indexed citations
9.
Hou, Fan Fan, Xun Zhang, Guo Hua Zhang, et al.. (2006). Efficacy and Safety of Benazepril for Advanced Chronic Renal Insufficiency. New England Journal of Medicine. 354(2). 131–140. 504 indexed citations breakdown →

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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