Mei‐Shu Lin

521 total citations
16 papers, 419 citations indexed

About

Mei‐Shu Lin is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Mei‐Shu Lin has authored 16 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pathology and Forensic Medicine and 5 papers in Epidemiology. Recurrent topics in Mei‐Shu Lin's work include Cardiac Ischemia and Reperfusion (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Mei‐Shu Lin is often cited by papers focused on Cardiac Ischemia and Reperfusion (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Mei‐Shu Lin collaborates with scholars based in Taiwan and United States. Mei‐Shu Lin's co-authors include Tsung‐Ming Lee, Nen-Chung Chang, Chang‐Her Tsai, Tsai‐Fwu Chou, Chen‐Ling Huang, Nen‐Chung Chang, Kuan‐Yu Hung, Li‐Jiuan Shen, Chih‐Fen Huang and Chun‐Ming Shih and has published in prestigious journals such as Journal of the American College of Cardiology, The FASEB Journal and Endocrinology.

In The Last Decade

Mei‐Shu Lin

15 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei‐Shu Lin Taiwan 10 160 147 93 85 57 16 419
Kazutoshi Mawatari Japan 9 107 0.7× 121 0.8× 60 0.6× 44 0.5× 67 1.2× 22 346
Suzanne B. Brown United States 8 141 0.9× 191 1.3× 105 1.1× 124 1.5× 33 0.6× 9 514
Saloua El Messaoudi Netherlands 12 177 1.1× 212 1.4× 51 0.5× 105 1.2× 65 1.1× 39 505
Kazuo Niwano Japan 7 293 1.8× 188 1.3× 51 0.5× 51 0.6× 57 1.0× 9 473
Michiyo Ikeda Japan 10 114 0.7× 102 0.7× 39 0.4× 91 1.1× 34 0.6× 14 427
Kimihiko Ishimura Japan 10 92 0.6× 210 1.4× 53 0.6× 85 1.0× 25 0.4× 16 359
D KASS United States 6 136 0.8× 256 1.7× 46 0.5× 38 0.4× 26 0.5× 9 501
Eva Gonçalvesová Slovakia 12 193 1.2× 289 2.0× 59 0.6× 66 0.8× 44 0.8× 54 512
Atta U. Shahbaz United States 11 113 0.7× 185 1.3× 31 0.3× 57 0.7× 40 0.7× 12 365
Hideo Tachibana United States 12 296 1.9× 318 2.2× 34 0.4× 101 1.2× 68 1.2× 19 655

Countries citing papers authored by Mei‐Shu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Shu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei‐Shu Lin

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

All Works

16 of 16 papers shown
1.
Lin, Mei‐Shu, Hilary Hayssen, Minerva Mayorga‐Carlin, et al.. (2025). Evaluation of factors underlying differences in venous thromboembolism rates between Black and White patients. Journal of Vascular Surgery Venous and Lymphatic Disorders. 13(5). 102270–102270.
2.
Huang, Shih‐Tsung, Chi‐Chuan Wang, Fei‐Yuan Hsiao, et al.. (2019). A Web-Based Clinical System for Cohort Surveillance of Specific Clinical Effectiveness and Safety Outcomes: A Cohort Study of Non–Vitamin K Antagonist Oral Anticoagulants and Warfarin. JMIR Medical Informatics. 7(3). e13329–e13329. 1 indexed citations
3.
Wang, Chen‐Yu, Fei‐Yuan Hsiao, Mei‐Shu Lin, et al.. (2018). Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System. Journal of Medical Internet Research. 20(4). e142–e142. 4 indexed citations
4.
Lee, Tsung‐Ming, Mei‐Shu Lin, & Nen-Chung Chang. (2008). Effect of ATP-Sensitive Potassium Channel Agonists on Ventricular Remodeling in Healed Rat Infarcts. Journal of the American College of Cardiology. 51(13). 1309–1318. 49 indexed citations
5.
Lee, Tsung‐Ming, Mei‐Shu Lin, & Nen-Chung Chang. (2008). Usefulness of C-Reactive Protein and Interleukin-6 as Predictors of Outcomes in Patients With Chronic Obstructive Pulmonary Disease Receiving Pravastatin. The American Journal of Cardiology. 101(4). 530–535. 104 indexed citations
6.
Lee, Tsung‐Ming, Mei‐Shu Lin, & Nen-Chung Chang. (2007). Inhibition of histone deacetylase on ventricular remodeling in infarcted rats. American Journal of Physiology-Heart and Circulatory Physiology. 293(2). H968–H977. 126 indexed citations
7.
Lee, Tsung‐Ming, Mei‐Shu Lin, & Nen-Chung Chang. (2007). Effect of pravastatin on sympathetic reinnervation in postinfarcted rats. American Journal of Physiology-Heart and Circulatory Physiology. 293(6). H3617–H3626. 22 indexed citations
8.
Lee, Tsung‐Ming, Mei‐Shu Lin, & Nen-Chung Chang. (2007). Physiological Concentration of 17β-Estradiol on Sympathetic Reinnervation in Ovariectomized Infarcted Rats. Endocrinology. 149(3). 1205–1213. 9 indexed citations
9.
Lin, Mei‐Shu, et al.. (2007). Effect of Endothelin Receptor Antagonists on Ventricular Susceptibility in Post‐infarcted Rats. The FASEB Journal. 21(6). 1 indexed citations
10.
Lee, Tsung‐Ming, Mei‐Shu Lin, Chang‐Her Tsai, & Nen-Chung Chang. (2006). Effect of pravastatin on left ventricular mass in the two-kidney, one-clip hypertensive rats. American Journal of Physiology-Heart and Circulatory Physiology. 291(6). H2705–H2713. 19 indexed citations
11.
Lee, Tsung‐Ming, Mei‐Shu Lin, Chang‐Her Tsai, Chen‐Ling Huang, & Nen-Chung Chang. (2006). Effects of sulfonylureas on left ventricular mass in type 2 diabetic patients. American Journal of Physiology-Heart and Circulatory Physiology. 292(1). H608–H613. 11 indexed citations
12.
Lee, Tsung‐Ming, et al.. (2006). Association of gliclazide and left ventricular mass in type 2 diabetic patients. Diabetes Research and Clinical Practice. 74(2). 121–128. 7 indexed citations
13.
Lee, Tsung‐Ming, Mei‐Shu Lin, Tsai‐Fwu Chou, Chang‐Her Tsai, & Nen-Chung Chang. (2005). Effect of pravastatin on development of left ventricular hypertrophy in spontaneously hypertensive rats. American Journal of Physiology-Heart and Circulatory Physiology. 289(1). H220–H227. 23 indexed citations
14.
Lee, Tsung‐Ming, Mei‐Shu Lin, Chang‐Her Tsai, & Nen-Chung Chang. (2005). Effect of ischaemic preconditioning on regional release of inflammatory markers. Clinical Science. 109(3). 267–276. 17 indexed citations
15.
Lee, Tsung‐Ming, Mei‐Shu Lin, Tsai‐Fwu Chou, & Nen-Chung Chang. (2004). Effect of simvastatin on left ventricular mass in hypercholesterolemic rabbits. American Journal of Physiology-Heart and Circulatory Physiology. 288(3). H1352–H1358. 25 indexed citations
16.
Chang, Nen‐Chung, et al.. (2002). Fosinopril Improves Left Ventricular Diastolic Function in Young Mildly Hypertensive Patients without Hypertrophy. Cardiovascular Drugs and Therapy. 16(2). 141–147. 1 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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