Lung‐Chun Lin

2.0k citations
110 papers · 1.4k · h-index 22

Impact in

Papers in

Lung‐Chun Lin

97 papers receiving 1.4k citations

Peers

Lung‐Chun Lin
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 627
  • Endocrinology, Diabetes and Metabolism 206
  • Radiology, Nuclear Medicine and Imaging 285
  • Neurology 140
  • Surgery 386
Replace Allan C. Roth with:
Allan C. Roth United States
Jun Jiang China
Yuzo Yamasaki Japan
Koen D. Reesink Netherlands
Dong‐Bin Kim South Korea
Patrice Guérin France
Ping Chai Singapore
Maria Serena De Franceschi Italy
Tobias M. Merz Switzerland
Mariana Selwaness Netherlands
Lung‐Chun Lin relative to Allan C. Roth United States Allan C. Roth's profile →
Citations per field
00.5×
Allan C. Roth · 1×
Citations per year

Countries citing papers authored by Lung‐Chun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lung‐Chun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lung‐Chun 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 Lung‐Chun Lin Line = papers co-authored together Lung‐Chun Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200779
2 201171
3 200866
4 201758
5 201258
6 201051
7 199847
8 200844
9 200241
10 201141
11 202040
12 201737
13 200737
14 201934
15 200529
16 202027
17 200425
18 200725
19 200424
20
Management of multiple level spondylolysis of the lumbar spine in young males: a report of six cases.
200123

About Lung‐Chun Lin

Lung‐Chun Lin is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering and Molecular Biology, having authored 110 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (25 papers), Cardiac Imaging and Diagnostics (24 papers), Cardiac Valve Diseases and Treatments (15 papers), Cardiac Arrhythmias and Treatments (9 papers), Hormonal Regulation and Hypertension (9 papers), Cardiac pacing and defibrillation studies (8 papers), Coronary Interventions and Diagnostics (8 papers) and Cardiac electrophysiology and arrhythmias (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (627 citations), Endocrinology, Diabetes and Metabolism (206 citations), Radiology, Nuclear Medicine and Imaging (285 citations), Neurology (140 citations) and Surgery (386 citations). Lung‐Chun Lin has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Yi‐Lwun Ho, Hsien‐Li Kao, Yen‐Hung Lin, Juey‐Jen Hwang, Por-Jau Huang, Mao-Shin Lin, Yung‐Ming Chen, Chia‐Lun Chao, Kuan‐Chih Huang and Yuan‐Teh Lee. Their work appears in journals such as Ultrasound in Medicine & Biology, Cardiology, International Journal of Cardiology, The American Journal of Cardiology and Applied Physics Letters.

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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