Yu‐Ling Chang

866 total citations
32 papers, 630 citations indexed

About

Yu‐Ling Chang is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yu‐Ling Chang has authored 32 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Critical Care and Intensive Care Medicine, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yu‐Ling Chang's work include Intensive Care Unit Cognitive Disorders (6 papers), Family and Patient Care in Intensive Care Units (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Yu‐Ling Chang is often cited by papers focused on Intensive Care Unit Cognitive Disorders (6 papers), Family and Patient Care in Intensive Care Units (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Yu‐Ling Chang collaborates with scholars based in Taiwan, China and Australia. Yu‐Ling Chang's co-authors include Yun‐Fang Tsai, Han‐Chung Wu, Ruei‐Min Lu, Minshan Chen, Yin‐Kai Chao, Min‐Chi Chen, Pyng-Jing Lin, Chia-Yih Liu, Naoya Sakamoto and Sheng‐Da Hsu and has published in prestigious journals such as The Lancet, Biomaterials and Scientific Reports.

In The Last Decade

Yu‐Ling Chang

28 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Ling Chang Taiwan 12 174 130 126 109 93 32 630
James A. Town United States 10 130 0.7× 33 0.3× 39 0.3× 76 0.7× 15 0.2× 28 453
Xing Huang China 15 149 0.9× 90 0.7× 107 0.8× 214 2.0× 37 0.4× 48 778
Mark Gormley United Kingdom 10 118 0.7× 129 1.0× 178 1.4× 162 1.5× 80 0.9× 26 657
Paul Sutton United Kingdom 17 191 1.1× 375 2.9× 361 2.9× 159 1.5× 72 0.8× 75 999
Naveed Nazir Shah India 13 82 0.5× 63 0.5× 45 0.4× 69 0.6× 70 0.8× 61 470
Pengtao Bao China 11 96 0.6× 59 0.5× 206 1.6× 79 0.7× 56 0.6× 28 864
A.I. Saeed United States 16 70 0.4× 76 0.6× 147 1.2× 262 2.4× 30 0.3× 61 614
Nisha R. Patel United States 13 77 0.4× 93 0.7× 52 0.4× 52 0.5× 36 0.4× 33 425
Ruey‐Kuen Hsieh Taiwan 14 78 0.4× 85 0.7× 318 2.5× 98 0.9× 54 0.6× 48 732
Christopher Greene United States 13 97 0.6× 29 0.2× 52 0.4× 63 0.6× 41 0.4× 25 408

Countries citing papers authored by Yu‐Ling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Ling Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ling Chang. A scholar is included among the top collaborators of Yu‐Ling Chang 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 Yu‐Ling Chang. Yu‐Ling Chang 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.
Hsieh, Ming‐Ju, et al.. (2025). Development of a Brief Delirium Knowledge Questionnaire for Intensive Care Nurses. Dimensions of Critical Care Nursing. 44(5). 277–282.
3.
Lee, Chia‐Yi, Shun‐Fa Yang, Yu‐Ling Chang, et al.. (2025). The effect of defocus incorporated multiple segment spectacles’ lenses combined with different concentrations atropine for myopia control. Scientific Reports. 15(1). 12356–12356. 1 indexed citations
4.
Lee, Chia‐Yi, Shun‐Fa Yang, Yu‐Ling Chang, Jing‐Yang Huang, & Chao‐Kai Chang. (2024). The Association between Ovarian Cancer and the Incidence of Newly Developed Dry Eye Disease: A Nationwide Population-Based Study. Life. 14(4). 530–530.
5.
Lee, Shwu‐Hua, et al.. (2024). Development and validation of a geriatric depression knowledge scale for older adults with depression. Geriatric Nursing. 58. 39–43. 1 indexed citations
6.
Chang, Yu‐Ling, et al.. (2024). Development and validation of a delirium care critical‐thinking scale for intensive care unit nurses: A mixed‐method study. Journal of Clinical Nursing. 33(4). 1387–1397. 5 indexed citations
7.
Chen, Hung‐Chi, Chia‐Yi Lee, Yu‐Ling Chang, et al.. (2024). Risk Factors for Corneal Endothelial Decompensation after Penetrating Keratoplasty: A Population-Based Cohort Study. Journal of Clinical Medicine. 13(3). 718–718. 1 indexed citations
8.
Lee, Chia‐Yi, Shun‐Fa Yang, Yu‐Ling Chang, et al.. (2024). The Effect of Myopic Control between the Dual-Focus Contact Lenses and High-Concentration Atropine in an Asian Population. Life. 14(1). 118–118.
9.
Chang, Yu‐Ling, et al.. (2022). Self-efficacy of caring for patients in the intensive care unit with delirium: Development and validation of a scale for intensive care unit nurses. Australian Critical Care. 36(4). 449–454. 7 indexed citations
10.
Hsieh, Hui‐Min, et al.. (2022). Different impacts of cancer types on cancer screening during COVID-19 pandemic in Taiwan. Journal of the Formosan Medical Association. 121(10). 1993–2000. 10 indexed citations
11.
Lu, Ruei‐Min, Shih-Han Ko, Chen Wy, et al.. (2021). Monoclonal Antibodies against Nucleocapsid Protein of SARS-CoV-2 Variants for Detection of COVID-19. International Journal of Molecular Sciences. 22(22). 12412–12412. 18 indexed citations
12.
Liu, Fang, et al.. (2021). miR-183-5p Promotes HCC Migration/Invasion via Increasing Aerobic Glycolysis. OncoTargets and Therapy. Volume 14. 3649–3658. 11 indexed citations
13.
Liu, I-Ju, Hsiu-Ting Lin, Mei-Jung Wang, et al.. (2021). Identification of COVID-19 B-cell epitopes with phage-displayed peptide library. Journal of Biomedical Science. 28(1). 43–43. 18 indexed citations
15.
Chao, Yin‐Kai, Zhigang Li, Yu‐Wen Wen, et al.. (2019). Robotic-assisted Esophagectomy vs Video-Assisted Thoracoscopic Esophagectomy (REVATE): study protocol for a randomized controlled trial. Trials. 20(1). 346–346. 54 indexed citations
16.
Lu, Ruei‐Min, et al.. (2019). Novel human Ab against vascular endothelial growth factor receptor 2 shows therapeutic potential for leukemia and prostate cancer. Cancer Science. 110(12). 3773–3787. 22 indexed citations
18.
Chang, Yu‐Ling, Yun‐Fang Tsai, Yin‐Kai Chao, & Meng‐Yu Wu. (2015). Quality-of-life measures as predictors of post-esophagectomy survival of patients with esophageal cancer. Quality of Life Research. 25(2). 465–475. 29 indexed citations
19.
Chang, Yu‐Ling, Yun‐Fang Tsai, Yi‐Cheng Wu, & Ming‐Ju Hsieh. (2013). Factors Relating to Quality of Life After Esophagectomy for Cancer Patients in Taiwan. Cancer Nursing. 37(1). 4–13. 29 indexed citations
20.
Cheng, Ju‐Chien, Ching‐Ping Tseng, Sheng‐Da Hsu, et al.. (2012). Let-7b is a novel regulator of hepatitis C virus replication. Cellular and Molecular Life Sciences. 69(15). 2621–2633. 95 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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