Sing-Yu Yang

902 total citations
19 papers, 738 citations indexed

About

Sing-Yu Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Nephrology. According to data from OpenAlex, Sing-Yu Yang has authored 19 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 3 papers in Nephrology. Recurrent topics in Sing-Yu Yang's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers). Sing-Yu Yang is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers). Sing-Yu Yang collaborates with scholars based in Taiwan, United States and Austria. Sing-Yu Yang's co-authors include Tsai‐Chung Li, Cheng‐Chieh Lin, Chia-Ing Li, Chiu-Shong Liu, Wen‐Yuan Lin, Ching-Chu Chen, Chun-Pai Yang, Hsuan-Ju Chen, Kai-Lin Hwang and Cheng-Chun Lee and has published in prestigious journals such as PLoS ONE, Neurology and Diabetes Care.

In The Last Decade

Sing-Yu Yang

19 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sing-Yu Yang Taiwan 15 383 153 109 105 103 19 738
Ahmed Hassoun United Arab Emirates 17 477 1.2× 238 1.6× 65 0.6× 43 0.4× 141 1.4× 41 821
Oswaldo L. Bracco United States 8 541 1.4× 105 0.7× 119 1.1× 81 0.8× 148 1.4× 15 869
Sung Hye Kong South Korea 18 312 0.8× 101 0.7× 124 1.1× 179 1.7× 118 1.1× 75 907
A.D. Rao United States 15 343 0.9× 69 0.5× 121 1.1× 94 0.9× 168 1.6× 30 848
Annalisa Giandalia Italy 17 397 1.0× 98 0.6× 46 0.4× 37 0.4× 171 1.7× 45 743
Nilgün Güvener Demirağ Türkiye 19 337 0.9× 96 0.6× 92 0.8× 82 0.8× 199 1.9× 42 763
MK Garg India 16 313 0.8× 87 0.6× 36 0.3× 32 0.3× 78 0.8× 39 585
Seda Sancak Türkiye 14 228 0.6× 90 0.6× 35 0.3× 64 0.6× 88 0.9× 48 805
Jae Hyuk Lee South Korea 14 271 0.7× 104 0.7× 65 0.6× 23 0.2× 93 0.9× 34 600
Amir Sharifuddin Md Khir Malaysia 12 230 0.6× 53 0.3× 62 0.6× 34 0.3× 40 0.4× 19 508

Countries citing papers authored by Sing-Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sing-Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sing-Yu Yang. 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 Sing-Yu Yang. The network helps show where Sing-Yu Yang may publish in the future.

Co-authorship network of co-authors of Sing-Yu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sing-Yu Yang. A scholar is included among the top collaborators of Sing-Yu Yang 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 Sing-Yu Yang. Sing-Yu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Li, Tsai‐Chung, Chia-Ing Li, Chiu-Shong Liu, et al.. (2018). Development and validation of prediction models for the risks of diabetes-related hospitalization and in-hospital mortality in patients with type 2 diabetes. Metabolism. 85. 38–47. 16 indexed citations
2.
Li, Tsai‐Chung, Chia-Ing Li, Chiu-Shong Liu, et al.. (2018). Risk score system for the prediction of hepatocellular carcinoma in patients with type 2 diabetes: Taiwan Diabetes Study. Seminars in Oncology. 45(5-6). 264–274. 13 indexed citations
3.
Li, Tsai‐Chung, Chia-Ing Li, Chiu-Shong Liu, et al.. (2018). Three-year renal function trajectory and its association with adverse renal event in patients with type 2 diabetes. Journal of Diabetes and its Complications. 32(8). 784–790. 2 indexed citations
4.
Lin, Cheng‐Chieh, Chia-Ing Li, Chiu-Shong Liu, et al.. (2017). Development and validation of a risk prediction model for end-stage renal disease in patients with type 2 diabetes. Scientific Reports. 7(1). 10177–10177. 37 indexed citations
5.
Yang, Chun-Pai, Chia-Ing Li, Chiu-Shong Liu, et al.. (2017). Variability of fasting plasma glucose increased risks of diabetic polyneuropathy in T2DM. Neurology. 88(10). 944–951. 32 indexed citations
6.
Li, Tsai‐Chung, Chun-Pai Yang, Chia-Ing Li, et al.. (2017). Visit-to-Visit Variations in Fasting Plasma Glucose and HbA1c Associated With an Increased Risk of Alzheimer Disease: Taiwan Diabetes Study. Diabetes Care. 40(9). 1210–1217. 66 indexed citations
7.
Li, Tsai‐Chung, Chia‐Ing Li, Chiu-Shong Liu, et al.. (2017). Interaction and joint effect of ALT and chronic liver disease on liver cancer in type 2 diabetes patients. Oncotarget. 8(61). 103851–103863. 2 indexed citations
8.
Yang, Chun-Pai, Cheng‐Chieh Lin, Chia-Ing Li, et al.. (2015). Cardiovascular Risk Factors Increase the Risks of Diabetic Peripheral Neuropathy in Patients With Type 2 Diabetes Mellitus. Medicine. 94(42). e1783–e1783. 57 indexed citations
9.
Li, Chia-Ing, Tsai‐Chung Li, Chiu-Shong Liu, et al.. (2015). Extreme Values of Hemoglobin A1c Are Associated With Increased Risks of Chronic Obstructive Pulmonary Disease in Patients With Type 2 Diabetes. Medicine. 94(1). e367–e367. 19 indexed citations
12.
Li, Chia-Ing, Chiu-Shong Liu, Wen‐Yuan Lin, et al.. (2015). Glycated Hemoglobin Level and Risk of Hip Fracture in Older People with Type 2 Diabetes: A Competing Risk Analysis of Taiwan Diabetes Cohort Study. Journal of Bone and Mineral Research. 30(7). 1338–1346. 130 indexed citations
13.
Lin, Cheng‐Chieh, Chun-Pai Yang, Chia-Ing Li, et al.. (2014). Visit-to-visit variability of fasting plasma glucose as predictor of ischemic stroke: competing risk analysis in a national cohort of Taiwan Diabetes Study. BMC Medicine. 12(1). 165–165. 73 indexed citations
14.
Lin, Cheng‐Chieh, Ching-Chu Chen, Fei-Na Chen, et al.. (2013). Risks of Diabetic Nephropathy with Variation in Hemoglobin A1c and Fasting Plasma Glucose. The American Journal of Medicine. 126(11). 1017.e1–1017.e10. 65 indexed citations
15.
Lin, Cheng‐Chieh, Ching-Chu Chen, Pei‐Tseng Kung, et al.. (2012). Joint relationship between renal function and proteinuria on mortality of patients with type 2 diabetes: The Taichung Diabetes Study. Cardiovascular Diabetology. 11(1). 131–131. 10 indexed citations
16.
Lin, Cheng‐Chieh, Chia-Ing Li, Sing-Yu Yang, et al.. (2012). Variation of Fasting Plasma Glucose: A Predictor of Mortality in Patients with Type 2 Diabetes. The American Journal of Medicine. 125(4). 416.e9–416.e18. 48 indexed citations
17.
Li, Tsai‐Chung, Chia‐Ing Li, Sing-Yu Yang, et al.. (2012). Quality of life predicts survival in patients with non-small cell lung cancer. BMC Public Health. 12(1). 790–790. 43 indexed citations
18.
Lin, Cheng‐Chieh, Chia-Ing Li, Chiu-Shong Liu, et al.. (2012). Annual fasting plasma glucose variation increases risk of cancer incidence and mortality in patients with type 2 diabetes: the Taichung Diabetes Study. Endocrine Related Cancer. 19(4). 473–483. 21 indexed citations
19.
Lin, Cheng‐Chieh, Chia-Ing Li, Chiu-Shong Liu, et al.. (2011). Impact of Lifestyle-Related Factors on All-Cause and Cause-Specific Mortality in Patients With Type 2 Diabetes. Diabetes Care. 35(1). 105–112. 55 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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