Min Liang

1.0k citations
9 papers · 731 indexed · 1 hit paper · h-index 4
Topics
Blood Pressure and Hypertension Studies (2 papers)Kawasaki Disease and Coronary Complications (2 papers)Cardiovascular Issues in Pregnancy (2 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Min Liang

7 papers receiving 704 citations

Hit Papers

Efficacy and Safety of Benazepril for Advanced Chronic Re...20062026201220192006100200300400500

Peers

Min Liang
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 438
  • Nephrology 339
  • Endocrinology, Diabetes and Metabolism 192
  • Pulmonary and Respiratory Medicine 131
  • Organic Chemistry 60
Replace Noriaki Maruyama with:
Noriaki Maruyama Japan
Takahiro Shoji Japan
Seung-Jung Kim South Korea
Luigi Ferrara Italy
Margus Annuk Sweden
K. Katopodis Greece
Mona Razavian Australia
Aida Yared United States
Balasamy Thiyagarajan United States
Min Liang relative to Noriaki Maruyama Japan Noriaki Maruyama's profile →
Citations per field
00.5×1.5×2.4×
Noriaki Maruyama · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 2
3 24
4 3
5 1
6 0
7 1
8 193
9
Efficacy and Safety of Benazepril for Advanced Chronic Renal Insufficiencybreakdown →
504

About Min Liang

Min Liang is a scholar working on Nephrology, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 731 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (2 papers), Kawasaki Disease and Coronary Complications (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Nephrology (339 citations), Cardiology and Cardiovascular Medicine (438 citations) and Endocrinology, Diabetes and Metabolism (192 citations). Min Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fan Fan Hou, Jian Jiang, Di Xie, Xun Zhang, Guo Bao Wang, Guo Hua Zhang, Xun Zhang, Zhi Guo, Qing Yang and Bo Bian. Their work appears in journals such as New England Journal of Medicine, Journal of the American Society of Nephrology and Psychosomatic Medicine.

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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