Ting-Yu Su

586 total citations
26 papers, 416 citations indexed

About

Ting-Yu Su is a scholar working on Nephrology, Hematology and Physiology. According to data from OpenAlex, Ting-Yu Su has authored 26 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nephrology, 5 papers in Hematology and 5 papers in Physiology. Recurrent topics in Ting-Yu Su's work include Chronic Kidney Disease and Diabetes (8 papers), Diet and metabolism studies (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Ting-Yu Su is often cited by papers focused on Chronic Kidney Disease and Diabetes (8 papers), Diet and metabolism studies (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Ting-Yu Su collaborates with scholars based in China, Taiwan and Thailand. Ting-Yu Su's co-authors include Xiangmei Chen, Mengjie Huang, Ri‐bao Wei, Yang Wang, Qingping Li, Xi Yang, Ping Li, Yang Wang, Ping Di and Qingping Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Green Chemistry.

In The Last Decade

Ting-Yu Su

25 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting-Yu Su China 11 127 88 61 59 55 26 416
Naoto Tominaga Japan 11 136 1.1× 74 0.8× 96 1.6× 36 0.6× 17 0.3× 42 428
Yanru Chen China 14 95 0.7× 129 1.5× 37 0.6× 38 0.6× 7 0.1× 48 500
Chia‐Lin Wu Taiwan 17 127 1.0× 89 1.0× 57 0.9× 65 1.1× 21 0.4× 45 588
Shigeo Negi Japan 17 630 5.0× 171 1.9× 31 0.5× 126 2.1× 32 0.6× 55 858
U. Baurmeister Germany 10 388 3.1× 127 1.4× 31 0.5× 134 2.3× 91 1.7× 26 728
Jochen Friedemann Germany 8 173 1.4× 76 0.9× 35 0.6× 39 0.7× 8 0.1× 9 475
Shuhua Zhang China 15 38 0.3× 160 1.8× 53 0.9× 68 1.2× 9 0.2× 47 602
Gaëlle Clermont France 10 115 0.9× 61 0.7× 76 1.2× 194 3.3× 26 0.5× 18 591
Rengin Elsürer Afşar Türkiye 13 102 0.8× 97 1.1× 46 0.8× 61 1.0× 20 0.4× 43 473
Chun-Yi Wu Taiwan 11 102 0.8× 46 0.5× 61 1.0× 61 1.0× 4 0.1× 29 334

Countries citing papers authored by Ting-Yu Su

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Yu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting-Yu Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Yu Su. A scholar is included among the top collaborators of Ting-Yu Su 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 Ting-Yu Su. Ting-Yu Su 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.
Ruksakulpiwat, Suebsarn, et al.. (2025). Artificial Intelligence in Nursing Research: A Systematic Review of Applications, Benefits, and Challenges. International Nursing Review. 72(3). e70080–e70080.
2.
Ruksakulpiwat, Suebsarn, et al.. (2024). A Systematic Review and Meta-Analysis Assessing the Accuracy of Blood Biomarkers for the Diagnosis of Ischemic Stroke in Adult and Elderly Populations. eNeuro. 11(11). ENEURO.0302–24.2024. 1 indexed citations
3.
Su, Ting-Yu, et al.. (2024). Ketogenic diet effectiveness is superior for drug resistant epilepsy with causative genetic mutation than those without genetic etiology. Epilepsy & Behavior. 161. 110052–110052. 3 indexed citations
4.
Zhang, Chen, et al.. (2023). Porous Core‐membrane Microstructured Nanomaterial Composed of Deep Eutectic Solvents and MOF‐808 for CO2 Capture. ChemSusChem. 16(24). e202300864–e202300864. 10 indexed citations
5.
Su, Ting-Yu, et al.. (2023). Feasibility of ketogenic diet therapy variants for refractory epilepsy in neonates to infants under 2 years old. Epilepsy & Behavior. 146. 109315–109315. 3 indexed citations
6.
Yu, Jiaxin, Zhaolong Ding, Ting-Yu Su, et al.. (2023). Waste to wealth: direct utilization of spent materials for electrocatalysis and energy storage. Green Chemistry. 25(10). 3816–3846. 22 indexed citations
7.
Zhang, Chen, Xinqi Zhang, Ting-Yu Su, et al.. (2023). Modification schemes of efficient sorbents for trace CO2 capture. Renewable and Sustainable Energy Reviews. 184. 113473–113473. 14 indexed citations
9.
Huang, Mengjie, Duo Li, Jianwen Chen, et al.. (2022). Comparison of the treatment efficacy of umbilical mesenchymal stem cell transplantation via renal subcapsular and parenchymal routes in AKI-CKD mice. Stem Cell Research & Therapy. 13(1). 128–128. 20 indexed citations
10.
Su, Ting-Yu, et al.. (2021). Salivary cytokine — A non-invasive predictor for bronchopulmonary dysplasia in premature neonates. Cytokine. 148. 155616–155616. 6 indexed citations
11.
Su, Ting-Yu, Pi‐Lien Hung, Chien Chen, Ying-Jui Lin, & Syu‐Jyun Peng. (2021). Graph Theory-Based Electroencephalographic Connectivity and Its Association with Ketogenic Diet Effectiveness in Epileptic Children. Nutrients. 13(7). 2186–2186. 6 indexed citations
12.
Huang, Hsin‐Chun, et al.. (2021). Early Life Factors Associated with Preschool Wheezing in Preterm Infants. Children. 8(9). 732–732. 2 indexed citations
13.
Wang, Yang, Ri‐bao Wei, Ting-Yu Su, et al.. (2019). Clinical and pathological factors of renal anaemia in patients with IgA nephropathy in Chinese adults: a cross-sectional study. BMJ Open. 9(1). e023479–e023479. 16 indexed citations
14.
Huang, Mengjie, et al.. (2018). The uremic toxin hippurate promotes endothelial dysfunction via the activation of Drp1-mediated mitochondrial fission. Redox Biology. 16. 303–313. 78 indexed citations
15.
Huang, Mengjie, Ri‐bao Wei, Yang Wang, et al.. (2017). Blood coagulation system in patients with chronic kidney disease: a prospective observational study. BMJ Open. 7(5). e014294–e014294. 102 indexed citations
16.
Li, Qingping, Ri‐bao Wei, Xi Yang, et al.. (2017). Protective Effects and Mechanisms of Shenhua Tablet (肾华片) on Toll-Like Receptors in Rat Model of Renal Ischemia-Reperfusion Injury. Chinese Journal of Integrative Medicine. 25(1). 37–44. 14 indexed citations
17.
Huang, Mengjie, Ri‐bao Wei, Jing Zhao, et al.. (2017). Albuminuria and Endothelial Dysfunction in Patients with Non-Diabetic Chronic Kidney Disease. Medical Science Monitor. 23. 4447–4453. 32 indexed citations
18.
Yang, Xi, Ri‐bao Wei, Yang Wang, et al.. (2017). Decreased Serum C3 Levels in Immunoglobulin A (IgA) Nephropathy with Chronic Kidney Disease: A Propensity Score Matching Study. Medical Science Monitor. 23. 673–681. 11 indexed citations
19.
Huang, Mengjie, Ri‐bao Wei, Yang Wang, et al.. (2017). Protective effect of glucagon-like peptide-1 agents on reperfusion injury for acute myocardial infarction: a meta-analysis of randomized controlled trials. Annals of Medicine. 49(7). 552–561. 26 indexed citations
20.
Huang, Mengjie, Ri‐bao Wei, Qingping Li, et al.. (2015). Hypercoagulable state evaluated by thromboelastography in patients with idiopathic membranous nephropathy. Journal of Thrombosis and Thrombolysis. 41(2). 321–327. 9 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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