Jixing Liang

425 citations
17 papers · 314 indexed · h-index 9

Jixing Liang

16 papers receiving 312 citations

Peers

Jixing Liang
Comparison fields: 5 of 61
  • Nephrology 52
  • Endocrine and Autonomic Systems 41
  • Reproductive Medicine 42
  • Experimental and Cognitive Psychology 40
  • Clinical Biochemistry 20
Replace Hassan Kahal with:
Hassan Kahal United Kingdom
Yuval Eisenberg United States
Bruna Visniauskas United States
Yu Qian China
Fernando Pazos Spain
Harman S. Mattu United Kingdom
Jun Hwa Hong South Korea
Lily Agrawal United States
M Löbig Germany
Murugan R. Pandian United States
Jixing Liang relative to Hassan Kahal United Kingdom Hassan Kahal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jixing Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jixing Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jixing Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jixing Liang Line = papers co-authored together Jixing Liang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20250
2 201914
3 20198
4
RAGE Gly82Ser polymorphism in patients with type 2 diabetes with comorbid Depression.
20191
5 201927
6 20171
7 201711
8 20164
9 201548
10 201415
11 201460
12 201267
13 201139
14 20103
15
Effect of raw camel milk in type 2 diabetes animal models and patients: ten months randomised study.
20099
16 20081
17
[Effects of captopril on myocardial tissue energy metabolism and inflammation in rats with diabetic cardiomyopathy].
20046

About Jixing Liang

Jixing Liang is a scholar working on Endocrine and Autonomic Systems, Clinical Biochemistry and Neurology, having authored 17 papers that have together received 314 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Sleep and related disorders (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ion Transport and Channel Regulation (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Ion channel regulation and function (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Nephrology (52 citations), Endocrine and Autonomic Systems (41 citations) and Reproductive Medicine (42 citations). Jixing Liang has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Liantao Li, Junping Wen, Gang Chen, Lixiang Lin, Huibin Huang, Hui‐Bin Huang, Jin Yao, Yating Hu, Chune Liu and Wei Lin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity, Chinese Journal of Integrative Medicine, Bone and Annals of Translational 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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