Jiun‐Lu Lin

601 citations
23 papers · 429 · h-index 11

Impact in

Papers in

Jiun‐Lu Lin

21 papers receiving 416 citations

Peers

Jiun‐Lu Lin
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 170
  • Cardiology and Cardiovascular Medicine 122
  • Geriatrics and Gerontology 20
  • Family Practice 6
  • Radiology, Nuclear Medicine and Imaging 62
Replace Sepideh Taghavi with:
Sepideh Taghavi Iran
Magdalena Sevilla-González United States
Masaru Kitazawa Japan
Nicoletta Musacchio Italy
C Kloos Germany
Oscar Hou In Chou Hong Kong
Jiemin Pan China
Banafsheh Arshi Netherlands
Roma Puronaitė Lithuania
L. LaBree United States
Jiun‐Lu Lin relative to Sepideh Taghavi Iran Sepideh Taghavi's profile →
Citations per field
00.5×3.5×
Sepideh Taghavi · 1×
Citations per year

Countries citing papers authored by Jiun‐Lu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jiun‐Lu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201269
3 201961
4 202049
5 201825
6 202025
7
Effect of acupuncture on cardiopulmonary function.
199619
8 202318
9 202111
10 201211
11 202011
12 20059
13 20218
14 20208
15 20218
16 20217
17 19915
18 20213
19 20193
20 20222

About Jiun‐Lu Lin

Jiun‐Lu Lin is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 23 papers that have together received 429 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (12 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Disease and Adiposity (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Diabetes Treatment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (2 papers) and Health Literacy and Information Accessibility (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Cardiology and Cardiovascular Medicine (122 citations), Geriatrics and Gerontology (20 citations), Family Practice (6 citations) and Radiology, Nuclear Medicine and Imaging (62 citations). Jiun‐Lu Lin has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Alexandra Kautzky‐Willer, Lana Kosi, Chun‐Chuan Lee, Shih‐Ming Chuang, Chien‐Liang Liu, Jie‐Jen Lee, Shih‐Ping Cheng, Chung‐Lieh Hung, Chun‐Ho Yun and Jui‐Peng Tsai. Their work appears in journals such as Circulation Cardiovascular Imaging, ESC Heart Failure, PLoS ONE, Scientific Reports and JMIR mhealth and uhealth.

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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