Lian‐Yu Lin

9.7k citations
281 papers · 6.7k · h-index 47

Impact in

Papers in

Lian‐Yu Lin

266 papers receiving 6.6k citations

Peers

Lian‐Yu Lin
Comparison fields: 5 of 171
  • Cardiology and Cardiovascular Medicine 1.8k
  • Health, Toxicology and Mutagenesis 1.1k
  • Environmental Chemistry 574
  • Endocrinology, Diabetes and Metabolism 816
  • Nephrology 149
Replace Ta‐Chen Su with:
Ta‐Chen Su Taiwan
Fung‐Chang Sung Taiwan
Edward S. Horton United States
Lyle G. Best United States
Meian He China
Yan Xie United States
Tatjana Rundek United States
Kuo‐Liong Chien Taiwan
Rakesh Shukla India
Yang Cao Sweden
Lian‐Yu Lin relative to Ta‐Chen Su Taiwan Ta‐Chen Su's profile →
Citations per field
00.5×1.5×
Ta‐Chen Su · 1×
Citations per year

Countries citing papers authored by Lian‐Yu Lin

Since Specialization
Citations

This map shows the geographic impact of Lian‐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 Lian‐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 Lian‐Yu Lin more than expected).

Fields of papers citing papers by Lian‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lian‐Yu Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lian‐Yu Lin Line = papers co-authored together Lian‐Yu Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 281 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008230
2 2005220
3 2014180
4 2009128
5
Epidemiologic study of the prevalence and severity of myopia among schoolchildren in Taiwan in 2000.
2001127
6 2008124
7 2019117
8 2020113
9 2017110
10 2009109
11 2016107
12 2004100
13 201195
14 200593
15 201390
16 201190
17 200287
18 201383
19 201182
20 201780

About Lian‐Yu Lin

Lian‐Yu Lin is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis, Molecular Biology and Surgery, having authored 281 papers that have together received 6.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (24 papers), Heart Rate Variability and Autonomic Control (21 papers), Cardiac electrophysiology and arrhythmias (20 papers), Cardiovascular Function and Risk Factors (20 papers), Atrial Fibrillation Management and Outcomes (18 papers), Hormonal Regulation and Hypertension (16 papers), Cardiac Arrhythmias and Treatments (15 papers) and Climate Change and Health Impacts (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Health, Toxicology and Mutagenesis (1.1k citations), Environmental Chemistry (574 citations), Endocrinology, Diabetes and Metabolism (816 citations) and Nephrology (149 citations). Lian‐Yu Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Pau‐Chung Chen, Juey‐Jen Hwang, Jiunn-Lee Lin, Kai-Jen Chuang, Ta‐Chen Su, Chien‐Yu Lin, Cho‐Kai Wu, Yen‐Hung Lin, Ling‐Ping Lai and Chang‐Chuan Chan. Their work appears in journals such as Scientific Reports, International Journal of Cardiology, Atherosclerosis, Journal of the American Heart Association and PLoS ONE.

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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