Bin Liang

1.4k citations
40 papers · 1.1k indexed · 1 hit paper · h-index 15
Topics
Cholesterol and Lipid Metabolism (8 papers)Renin-Angiotensin System Studies (8 papers)Adipokines, Inflammation, and Metabolic Diseases (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Bin Liang

39 papers receiving 1.0k citations

Hit Papers

TyG index is positively associated with risk of CHD and c...20222026202320242022255075100

Peers

Bin Liang
Comparison fields: 5 of 93
  • Molecular Biology 416
  • Cancer Research 387
  • Surgery 244
  • Cardiology and Cardiovascular Medicine 186
  • Pulmonary and Respiratory Medicine 175
Replace Yuki Izawa‐Ishizawa with:
Yuki Izawa‐Ishizawa Japan
Xiao Meng United States
Xu Guan China
Danielle A. Guimarães Brazil
Xiubin Liang China
Hong Yan China
Alex Gutsol Canada
Erfei Luo China
Yi Song China
Joan C. Krepinsky Canada
Bin Liang relative to Yuki Izawa‐Ishizawa Japan Yuki Izawa‐Ishizawa's profile →
Citations per field
00.5×1.5×2.2×
Yuki Izawa‐Ishizawa · 1×
Citations per year

Countries citing papers authored by Bin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Liang. A scholar is included among the top collaborators of Bin 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 Bin Liang. Bin Liang 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
#WorkIndexed citations
1 9
2 1
3 1
4 17
5 5
6 8
7
TyG index is positively associated with risk of CHD and coronary atherosclerosis severity among NAFLD patientsbreakdown →
112
8 1
9 15
10 3
11 134
12 16
13 47
14 10
15 14
16 20
17
Postmortem redistribution of lidocaine after epidural injection in beagle dogs.
1
18 69
19 6
20 2

About Bin Liang

Bin Liang is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (8 papers), Renin-Angiotensin System Studies (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Cancer Research (387 citations), Cardiology and Cardiovascular Medicine (186 citations) and Molecular Biology (416 citations). Bin Liang has collaborated with scholars based in China and United States. Frequent co-authors include Jane B. Trepel, N Patronas, William D. Figg, Dvorit Samid, Alain Thibault, David Venzon, A Tompkins, Raymond J. Hohl, Michael R. Cooper and E Reed. Their work appears in journals such as Free Radical Biology and Medicine, Journal of Controlled Release and Frontiers in Immunology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026