Yan Liang

2.0k citations
95 papers · 1.3k indexed · h-index 21
Topics
Chronic Kidney Disease and Diabetes (11 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
Partner nations
ChinaIrelandHong Kong

In The Last Decade

Yan Liang

91 papers receiving 1.3k citations

Peers

Yan Liang
Comparison fields: 5 of 129
  • Endocrinology, Diabetes and Metabolism 272
  • Molecular Biology 223
  • Cardiology and Cardiovascular Medicine 222
  • Physiology 216
  • Epidemiology 207
Replace Charles Tzu‐Chi Lee with:
Charles Tzu‐Chi Lee Taiwan
Yoko Hori Japan
J. R. C. Jansen Netherlands
Jie Willey United States
Antonino Catalano Italy
Muhammad Hammadah United States
Irma‐Leena Notkola Finland
Estella Musacchio Italy
Sadia Ali United States
Yan Liang relative to Charles Tzu‐Chi Lee Taiwan Charles Tzu‐Chi Lee's profile →
Citations per field
00.5×
Charles Tzu‐Chi Lee · 1×
Citations per year

Countries citing papers authored by Yan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Liang. A scholar is included among the top collaborators of Yan 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 Yan Liang. Yan 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 4
2 1
3 21
4 0
5 49
6 31
7 4
8 6
9 11
10 6
11 4
12 5
13 13
14 26
15
Liraglutide ameliorates nonalcoholic fatty liver disease in diabetic mice via the IRS2/PI3K/Akt signaling pathway
2
16 0
17 16
18 40
19 47
20 16

About Yan Liang

Yan Liang is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). The work is most often cited by research in Nephrology (168 citations), Endocrinology, Diabetes and Metabolism (272 citations) and Anesthesiology and Pain Medicine (86 citations). Yan Liang has collaborated with scholars based in China, Ireland and Hong Kong. Frequent co-authors include Wing Chung Lau, Xiaoping Luo, Xiaofei Shao, Ling Hou, Shanying Chen, Harry Holthöfer, Yanqin Ying, Ralph Maddison, Yimin Cui and Yongqiang Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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