Liang‐Yu Lin

1.3k total citations
77 papers, 965 citations indexed

About

Liang‐Yu Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Liang‐Yu Lin has authored 77 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Surgery and 17 papers in Molecular Biology. Recurrent topics in Liang‐Yu Lin's work include Hormonal Regulation and Hypertension (11 papers), Adrenal and Paraganglionic Tumors (10 papers) and Diabetes Treatment and Management (7 papers). Liang‐Yu Lin is often cited by papers focused on Hormonal Regulation and Hypertension (11 papers), Adrenal and Paraganglionic Tumors (10 papers) and Diabetes Treatment and Management (7 papers). Liang‐Yu Lin collaborates with scholars based in Taiwan, United States and South Korea. Liang‐Yu Lin's co-authors include Jaw‐Wen Chen, Tzeng‐Ji Chen, Po‐Hsun Huang, Ting‐Ting Chang, Hsin‐Bang Leu, Shing‐Jong Lin, Chia‐Min Chung, Chin-Chou Huang, Chun-Chih Chiu and Chia-Hung Chiang and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Liang‐Yu Lin

73 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang‐Yu Lin Taiwan 16 274 190 170 164 113 77 965
Jeremy Gilbert Canada 17 511 1.9× 191 1.0× 302 1.8× 167 1.0× 77 0.7× 42 1.2k
Ali Zandieh Iran 20 235 0.9× 130 0.7× 118 0.7× 178 1.1× 53 0.5× 51 979
Jianbo Zhou China 23 226 0.8× 322 1.7× 108 0.6× 274 1.7× 50 0.4× 80 1.4k
Carla Greco Italy 19 198 0.7× 223 1.2× 144 0.8× 418 2.5× 50 0.4× 55 1.1k
Katrin Borucki Germany 19 104 0.4× 233 1.2× 145 0.9× 148 0.9× 43 0.4× 50 997
Eleonora Santini Italy 18 219 0.8× 372 2.0× 215 1.3× 290 1.8× 53 0.5× 34 1.3k
Kang Chen China 19 304 1.1× 259 1.4× 361 2.1× 180 1.1× 55 0.5× 94 1.3k
Andreea Ciudin Spain 21 367 1.3× 176 0.9× 519 3.1× 494 3.0× 79 0.7× 114 1.4k
Yuping Zhang China 21 107 0.4× 344 1.8× 130 0.8× 214 1.3× 52 0.5× 128 1.4k
Chia-Hung Chiang Taiwan 16 124 0.5× 140 0.7× 101 0.6× 200 1.2× 51 0.5× 22 800

Countries citing papers authored by Liang‐Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang‐Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Yu Lin. A scholar is included among the top collaborators of Liang‐Yu Lin 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 Liang‐Yu Lin. Liang‐Yu Lin 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.
Lin, Liang‐Yu, Yen‐Hung Lin, Shih‐Chieh Chueh, et al.. (2025). Universal Screening for Primary Aldosteronism in Hypertensive Patients: A 2025 Taipei Positional Paper. Journal of Clinical Hypertension. 27(9). e70102–e70102.
2.
Hung, Ta‐Chuan, Tzu‐Chieh Lin, Ying‐Jay Liou, et al.. (2025). Use of dipeptidyl peptidase‐4 inhibitors is associated with lower risk of severe renal outcomes in pre‐dialysis patients with Type 2 diabetes. Journal of Internal Medicine. 298(3). 214–227.
3.
Wang, Wei‐Ting, Leay‐Kiaw Er, Chien‐Wei Huang, et al.. (2024). Recent progress in unraveling cardiovascular complications associated with primary aldosteronism: a succinct review. Hypertension Research. 47(5). 1103–1119. 5 indexed citations
4.
Lin, Liang‐Yu, Ting‐Ting Chang, Chin‐Chou Huang, et al.. (2024). Novel prognostic impact and cell specific role of endocan in patients with coronary artery disease. Clinical Research in Cardiology. 114(8). 952–968. 4 indexed citations
5.
6.
Chang, Ting‐Ting, et al.. (2024). Inhibition of CCL7 improves endothelial dysfunction and vasculopathy in mouse models of diabetes mellitus. Science Translational Medicine. 16(763). eadn1507–eadn1507. 9 indexed citations
7.
Lin, Liang‐Yu, et al.. (2024). CXCL5 inhibition improves kidney function by protecting renal tubular epithelial cells in diabetic kidney disease. Clinical Immunology. 268. 110369–110369. 2 indexed citations
8.
9.
Huang, Shun‐Chen, Chien‐Ting Pan, Kang‐Yung Peng, et al.. (2023). The predictors of long-term outcomes after targeted therapy for primary Aldosteronism. Journal of the Formosan Medical Association. 123. S135–S140. 1 indexed citations
10.
Pan, Chien‐Ting, et al.. (2023). Follow-up care and assessment of comorbidities and complications in patients with primary aldosteronism: The clinical practice guideline of the Taiwan Society of aldosteronism. Journal of the Formosan Medical Association. 123. S141–S152. 1 indexed citations
11.
Pislyagin, Еvgeny А., Liang‐Yu Lin, Ekaterina S. Menchinskaya, et al.. (2023). Holothurian triterpene glycoside cucumarioside A2-2 induces macrophages activation and polarization in cancer immunotherapy. Cancer Cell International. 23(1). 292–292. 3 indexed citations
12.
Hwu, Chii‐Min, et al.. (2022). Soluble tumor necrosis factor receptor 2 is associated with progressive diabetic kidney disease in patients with type 2 diabetes mellitus. PLoS ONE. 17(4). e0266854–e0266854. 7 indexed citations
13.
14.
Tan, Licheng, Wanlin Liu, Xiaoli Zhu, et al.. (2021). Next-Generation Sequencing Enhances the Diagnosis Efficiency in Thyroid Nodules. Frontiers in Oncology. 11. 677892–677892. 6 indexed citations
15.
Kuo, Chin‐Sung, Jia-Shiong Chen, Liang‐Yu Lin, et al.. (2020). Inhibition of Serine Protease Activity Protects Against High Fat Diet-Induced Inflammation and Insulin Resistance. Scientific Reports. 10(1). 1725–1725. 22 indexed citations
16.
Chang, Ting‐Ting, Tao‐Cheng Wu, Po‐Hsun Huang, et al.. (2016). Aliskiren directly improves endothelial progenitor cell function from Type II diabetic patients. European Journal of Clinical Investigation. 46(6). 544–554. 9 indexed citations
17.
Huang, Chin-Chou, Chia‐Min Chung, Wen‐Hung Chung, et al.. (2015). Clinical and Genetic Factors Associated With Thiazide-Induced Hyponatremia. Medicine. 94(34). e1422–e1422. 15 indexed citations
18.
Lin, Liang‐Yu, et al.. (2007). Hyperglycemia Correlates with Outcomes in Patients Receiving Total Parenteral Nutrition. The American Journal of the Medical Sciences. 333(5). 261–265. 75 indexed citations
19.
Lin, Jou‐Wei, Juey‐Jen Hwang, Liang‐Yu Lin, & Jiunn-Lee Lin. (2006). Measuring Heart Rate Variability with Wavelet Thresholds and Energy Components in Healthy Subjects and Patients with Congestive Heart Failure. Cardiology. 106(4). 207–214. 5 indexed citations
20.
Chan, Chang‐Chuan, Kai-Jen Chuang, Ta‐Chen Su, & Liang‐Yu Lin. (2005). Association between nitrogen dioxide and heart rate variability in a susceptible population. European Journal of Cardiovascular Prevention & Rehabilitation. 12(6). 580–586. 32 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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