Ai‐Lun Yang

676 citations
36 papers · 533 indexed · h-index 14

Impact in

Papers in

Ai‐Lun Yang

34 papers receiving 517 citations

Peers

Ai‐Lun Yang
Comparison fields: 5 of 88
  • Complementary and alternative medicine 94
  • Cardiology and Cardiovascular Medicine 194
  • Rehabilitation 54
  • Physiology 163
  • Biochemistry 26
Replace Maria Andréia Delbin with:
Maria Andréia Delbin Brazil
Asako Miyaki Japan
Rafael Reyes United States
Cristiane Matsuura Brazil
Justin D. La Favor United States
Conor McClean United Kingdom
Nathália Bernardes Brazil
Fernanda Roberta Roque Brazil
David Hullin United Kingdom
C. Di Massimo Italy
Ai‐Lun Yang relative to Maria Andréia Delbin Brazil Maria Andréia Delbin's profile →
Citations per field
00.5×1.7×
Maria Andréia Delbin · 1×
Citations per year

Countries citing papers authored by Ai‐Lun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Lun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai‐Lun Yang. 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 Ai‐Lun Yang. The network helps show where Ai‐Lun Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20235
4 20233
5 20232
6 20231
7 20226
8 20229
9 20218
10 201816
11 201824
12 20135
13 201271
14 201115
15 201034
16 201014
17 200715
18 200613
19 200346
20 200235

About Ai‐Lun Yang

Ai‐Lun Yang is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Rehabilitation, Occupational Therapy and Physiology, having authored 36 papers that have together received 533 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (11 papers), Nitric Oxide and Endothelin Effects (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Cardiovascular Health and Disease Prevention (5 papers), Exercise and Physiological Responses (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Cardiovascular Effects of Exercise (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Complementary and alternative medicine (94 citations), Cardiology and Cardiovascular Medicine (194 citations), Rehabilitation (54 citations), Physiology (163 citations) and Biochemistry (26 citations). Ai‐Lun Yang has collaborated with scholars based in Taiwan, China and Thailand. Frequent co-authors include Shin‐Da Lee, Hsiun‐ing Chen, Chia‐Ting Su, Yi-Yuan Lin, Chauying J. Jen, Chia‐Hua Kuo, Chih‐Yang Huang, Chung‐Ying Lin, Ko‐Long Lin and Meei Jyh Jiang. Their work appears in journals such as Journal of Applied Physiology, Nutrients, Aging, International Journal of Environmental Research and Public Health and International Journal of Molecular Sciences.

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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