Jixing Liang

459 total citations
23 papers, 206 citations indexed

About

Jixing Liang is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jixing Liang has authored 23 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jixing Liang's work include Nutritional Studies and Diet (4 papers), Blood Pressure and Hypertension Studies (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Jixing Liang is often cited by papers focused on Nutritional Studies and Diet (4 papers), Blood Pressure and Hypertension Studies (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Jixing Liang collaborates with scholars based in China and United States. Jixing Liang's co-authors include Liantao Li, Gang Chen, Huibin Huang, Junping Wen, Wei Lin, Lixiang Lin, Jin Yao, Yaqian Mao, Yufang Bi and Jieli Lu and has published in prestigious journals such as PLoS ONE, Atherosclerosis and Metabolism.

In The Last Decade

Jixing Liang

22 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jixing Liang China 9 62 39 33 32 25 23 206
Suranut Charoensri Thailand 9 83 1.3× 115 2.9× 29 0.9× 28 0.9× 47 1.9× 29 288
Marcin Gierach Poland 9 161 2.6× 64 1.6× 52 1.6× 43 1.3× 28 1.1× 28 330
Tae Yang Yu South Korea 10 48 0.8× 44 1.1× 64 1.9× 26 0.8× 41 1.6× 27 279
Huanxian Liu China 7 18 0.3× 49 1.3× 22 0.7× 38 1.2× 26 1.0× 18 185
Alice Giontella Italy 10 60 1.0× 158 4.1× 32 1.0× 54 1.7× 39 1.6× 28 366
Xiaoguang Yao China 9 76 1.2× 134 3.4× 34 1.0× 34 1.1× 42 1.7× 27 291
Fusheng Xu China 9 18 0.3× 41 1.1× 34 1.0× 33 1.0× 25 1.0× 12 248
Germán D. Carrasquilla Denmark 8 110 1.8× 82 2.1× 41 1.2× 50 1.6× 47 1.9× 13 306
Andrew D. Morris United Kingdom 8 80 1.3× 58 1.5× 22 0.7× 24 0.8× 22 0.9× 9 266
Bandar M. Alshehri Saudi Arabia 7 169 2.7× 37 0.9× 29 0.9× 24 0.8× 65 2.6× 11 323

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 of co-authors of Jixing Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jixing Liang. A scholar is included among the top collaborators of Jixing 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 Jixing Liang. Jixing 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
1.
Cai, Yongzhi, et al.. (2024). Study on high temperature dynamic characteristics and mesoscopic simulation of HFRC under dynamic and static combined loading. Structures. 60. 105824–105824. 6 indexed citations
2.
3.
Mao, Yaqian, Liantao Li, Jixing Liang, et al.. (2024). Survival benefit of postoperative radioiodine therapy among patients with intermediate-risk differentiated thyroid carcinoma. Endocrine. 86(2). 664–671. 1 indexed citations
4.
Liang, Jixing, et al.. (2023). The Inverse Association Between Isoflavone Intake and Prevalence of Metabolic Syndrome: A Cross-Sectional Study from National Health and Nutrition Examination Survey. Metabolic Syndrome and Related Disorders. 22(2). 97–104. 2 indexed citations
5.
6.
Mao, Yaqian, Wei Lin, Liantao Li, et al.. (2023). Klotho reduces the risk of osteoporosis in postmenopausal women: a cross-sectional study of the National Health and Nutrition Examination Survey (NHANES). BMC Endocrine Disorders. 23(1). 151–151. 8 indexed citations
7.
8.
Mao, Yaqian, Wei Lin, Jixing Liang, et al.. (2022). Value of machine learning algorithms for predicting diabetes risk: A subset analysis from a real‐world retrospective cohort study. Journal of Diabetes Investigation. 14(2). 309–320. 5 indexed citations
9.
Lin, Miao, Nitin Shivappa, James R. Hébert, et al.. (2021). Dietary inflammatory index and cardiorenal function in women with diabetes and prediabetes. Nutrition Metabolism and Cardiovascular Diseases. 31(8). 2319–2327. 8 indexed citations
10.
Mao, Yaqian, Lizhen Xu, Ting Xue, et al.. (2021). Novel nomogram for predicting the 3-year incidence risk of osteoporosis in a Chinese male population. Endocrine Connections. 10(9). 1111–1124. 6 indexed citations
11.
Lin, Wei, Huiying Rao, Huibin Huang, et al.. (2020). Relationship between insulin-sensitive obesity and retinal microvascular abnormalities. Annals of Palliative Medicine. 10(2). 1031–1041. 2 indexed citations
12.
Huang, Yanling, Yuanyuan Zheng, Liantao Li, et al.. (2019). Association between lifestyle and thyroid dysfunction: a cross-sectional epidemiologic study in the She ethnic minority group of Fujian Province in China. BMC Endocrine Disorders. 19(1). 83–83. 17 indexed citations
13.
Lin, Miao, Huibin Huang, Jin Yao, et al.. (2019). Association between Depression and Renal Hyperfiltration in a General Chinese Population. Kidney & Blood Pressure Research. 44(6). 1441–1452. 5 indexed citations
14.
Lin, Miao, Qing Su, Junping Wen, et al.. (2017). Self-reported sleep duration and daytime napping are associated with renal hyperfiltration in general population. Sleep And Breathing. 22(1). 223–232. 21 indexed citations
15.
Wen, Junping, Ting Xue, Ying Huang, et al.. (2016). Is β‐cell aging involved in the pathogenesis of diabetes?. Journal of Diabetes. 9(7). 707–716. 8 indexed citations
16.
Huang, Huibin, Baoying Huang, Jin Yao, et al.. (2013). Associations of Green Tea and Rock Tea Consumption with Risk of Impaired Fasting Glucose and Impaired Glucose Tolerance in Chinese Men and Women. PLoS ONE. 8(11). e79214–e79214. 11 indexed citations
17.
Chen, Gang, Yulian Wu, Tao Wang, et al.. (2012). Association Between Serum Endogenous Secretory Receptor for Advanced Glycation End Products and Risk of Type 2 Diabetes Mellitus with Combined Depression in the Chinese Population. Diabetes Technology & Therapeutics. 14(10). 936–942. 18 indexed citations
18.
Chen, Gang, Meizhi Li, Yuan Xu, et al.. (2012). Impact of Family History of Diabetes on β -Cell Function and Insulin Resistance Among Chinese with Normal Glucose Tolerance. Diabetes Technology & Therapeutics. 14(6). 463–468. 8 indexed citations
19.
Chen, Gang, Huibin Huang, Jixing Liang, et al.. (2011). Cardiovascular disease (CVD) risk, insulin resistance and β-cell function in prehypertension population of China. Atherosclerosis. 217(1). 279–285. 7 indexed citations
20.
Chen, Gang, Chune Liu, Jin Yao, et al.. (2010). Overweight, obesity, and their associations with insulin resistance and β-cell function among Chinese: a cross-sectional study in China. Metabolism. 59(12). 1823–1832. 35 indexed citations

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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