Shao‐Yu Yang

2.8k total citations · 1 hit paper
85 papers, 1.8k citations indexed

About

Shao‐Yu Yang is a scholar working on Nephrology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shao‐Yu Yang has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nephrology, 18 papers in Surgery and 18 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shao‐Yu Yang's work include Hormonal Regulation and Hypertension (13 papers), Dialysis and Renal Disease Management (12 papers) and Adrenal and Paraganglionic Tumors (11 papers). Shao‐Yu Yang is often cited by papers focused on Hormonal Regulation and Hypertension (13 papers), Dialysis and Renal Disease Management (12 papers) and Adrenal and Paraganglionic Tumors (11 papers). Shao‐Yu Yang collaborates with scholars based in Taiwan, China and United States. Shao‐Yu Yang's co-authors include Kwan‐Dun Wu, Tzong‐Shinn Chu, Yi‐Chih Lin, Vin‐Cent Wu, Mei‐Fen Pai, Chun‐Fu Lai, Yu‐Sen Peng, Chih‐Kang Chiang, Shih‐Ping Hsu and Yen‐Hung Lin and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shao‐Yu Yang

81 papers receiving 1.8k citations

Hit Papers

Update of pathophysiology and management of diabetic kidn... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao‐Yu Yang Taiwan 23 547 484 437 248 215 85 1.8k
Masashi Honda Japan 24 254 0.5× 241 0.5× 366 0.8× 299 1.2× 113 0.5× 181 2.0k
So‐Young Lee South Korea 25 178 0.3× 559 1.2× 392 0.9× 477 1.9× 218 1.0× 105 1.9k
Lei Xu China 27 598 1.1× 349 0.7× 366 0.8× 477 1.9× 1.2k 5.7× 115 2.5k
Kaj Metsärinne Finland 25 595 1.1× 687 1.4× 428 1.0× 320 1.3× 216 1.0× 77 3.0k
Günter Stein Germany 22 284 0.5× 557 1.2× 195 0.4× 314 1.3× 96 0.4× 67 1.8k
Ping Liu China 24 231 0.4× 278 0.6× 173 0.4× 385 1.6× 485 2.3× 120 1.9k
Zhaohong Chen China 29 137 0.3× 966 2.0× 285 0.7× 973 3.9× 305 1.4× 97 2.7k
In‐Kyung Jeong South Korea 30 1.1k 2.0× 127 0.3× 813 1.9× 721 2.9× 450 2.1× 161 3.4k
Hung‐Yuan Li Taiwan 32 759 1.4× 102 0.2× 400 0.9× 747 3.0× 570 2.7× 175 3.1k
Jisoo Lee South Korea 25 456 0.8× 104 0.2× 306 0.7× 434 1.8× 207 1.0× 143 2.1k

Countries citing papers authored by Shao‐Yu Yang

Since Specialization
Citations

This map shows the geographic impact of Shao‐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 Shao‐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 Shao‐Yu Yang more than expected).

Fields of papers citing papers by Shao‐Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao‐Yu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Yu Yang. A scholar is included among the top collaborators of Shao‐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 Shao‐Yu Yang. Shao‐Yu Yang 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.
Yang, Shao‐Yu, et al.. (2025). The role of microglia in glaucoma - trigger and potential target. Frontiers in Immunology. 16. 1685495–1685495.
2.
Li, Shutong, Shao‐Yu Yang, Tianhua Li, et al.. (2025). Modulation of Macrophage Polarization in Rheumatoid Arthritis Therapy via Targeted Delivery of Bulleyaconitine A. ACS Applied Nano Materials. 8(9). 4513–4529. 2 indexed citations
3.
Chen, Xiang, et al.. (2024). Automatic title completion for Stack Overflow posts and GitHub issues. Empirical Software Engineering. 29(5). 1 indexed citations
4.
Lai, Tai‐Shuan, et al.. (2023). Clinical implications of frailty in peritoneal dialysis patients – A prospective observational study. Journal of the Formosan Medical Association. 123(2). 248–256. 2 indexed citations
5.
Yang, Shao‐Yu, et al.. (2023). Adaptive-Dynamic-Programming-Based Robust Control for a Quadrotor UAV with External Disturbances and Parameter Uncertainties. Applied Sciences. 13(23). 12672–12672. 2 indexed citations
6.
Lai, Chun‐Fu, Tai‐Shuan Lai, Shao‐Yu Yang, et al.. (2023). Humeral and cellular immune responses to SARS-CoV-2 vaccination in patients on peritoneal dialysis. Journal of the Formosan Medical Association. 122(9). 922–931. 1 indexed citations
7.
Yang, Feng‐Jung, et al.. (2022). A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images. Computer Methods and Programs in Biomedicine. 221. 106861–106861. 14 indexed citations
8.
Lin, Frank Yeong‐Sung, et al.. (2022). A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images. Computer Methods and Programs in Biomedicine. 221. 106854–106854. 37 indexed citations
9.
Wu, Kan, Lucheng Zhu, Bing Wang, et al.. (2019). A phase II study of concurrent nab-paclitaxel/carboplatin combined with thoracic radiotherapy in locally advanced squamous cell lung cancer. Journal of Thoracic Disease. 11(11). 4529–4537. 8 indexed citations
10.
Huang, Tao‐Min, Vin‐Cent Wu, Yu‐Feng Lin, et al.. (2018). Effects of Statin Use in Advanced Chronic Kidney Disease Patients. Journal of Clinical Medicine. 7(9). 285–285. 12 indexed citations
11.
Lin, Yi‐Chih, et al.. (2018). Update of pathophysiology and management of diabetic kidney disease. Journal of the Formosan Medical Association. 117(8). 662–675. 399 indexed citations breakdown →
13.
Yang, Shao‐Yu, et al.. (2016). Proteins associated with EGFR-TKIs resistance in patients with non-small cell lung cancer revealed by mass spectrometry. Molecular Medicine Reports. 14(5). 4823–4829. 4 indexed citations
14.
Ko, Mei‐Ju, Hon‐Yen Wu, Hung‐Yuan Chen, et al.. (2013). Correction: Uremic Pruritus, Dialysis Adequacy, and Metabolic Profiles in Hemodialysis Patients: A Prospective 5-Year Cohort Study. PLoS ONE. 8(10). 13 indexed citations
15.
Chang, Hong‐Wei, Chao‐Yuan Huang, Shao‐Yu Yang, et al.. (2013). Role of D2 dopamine receptor in adrenal cortical cell proliferation and aldosterone-producing adenoma tumorigenesis. Journal of Molecular Endocrinology. 52(2). 87–96. 12 indexed citations
16.
Hung, Chi‐Sheng, Yi‐Lwun Ho, Yi‐Yao Chang, et al.. (2013). Twenty‐Four‐Hour Urinary Aldosterone Predicts Inappropriate Left Ventricular Mass Index in Patients with Primary Aldosteronism. The Scientific World JOURNAL. 2013(1). 294594–294594. 19 indexed citations
17.
Hsu, Shih-Ping, Chih‐Kang Chiang, Shao‐Yu Yang, & Chiang‐Ting Chien. (2010). N-Acetylcysteine for the Management of Anemia and Oxidative Stress in Hemodialysis Patients. Nephron Clinical Practice. 116(3). c207–c216. 42 indexed citations
18.
Yang, Shao‐Yu, Chih‐Kang Chiang, Shih-Ping Hsu, et al.. (2007). Metabolic Syndrome Predicts Hospitalization in Hemodialysis Patients: A Prospective Asian Cohort Study. Blood Purification. 25(3). 252–259. 23 indexed citations
19.
Pai, Mei‐Fen, et al.. (2006). Emergency department presentation of chronic peritoneal dialysis patients. Dialysis & Transplantation. 35(2). 84–87. 2 indexed citations
20.
Chiang, Chih‐Kang, Shih-Ping Hsu, Yu‐Sen Peng, et al.. (2005). Low-Density Lipoprotein Cholesterol: Association with Mortality and Hospitalization in Hemodialysis Patients. Blood Purification. 23(2). 134–140. 29 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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