Ai‐Lun Yang

685 citations
36 papers · 552 · h-index 14

Impact in

Papers in

Ai‐Lun Yang

34 papers receiving 536 citations

Peers

Ai‐Lun Yang
Comparison fields: 5 of 84
  • Complementary and alternative medicine 78
  • Cardiology and Cardiovascular Medicine 154
  • Rehabilitation 44
  • Physiology 139
  • Biochemistry 24
Replace Ricardo Luiz Damatto with:
Ricardo Luiz Damatto Brazil
Justin D. La Favor United States
Ricardo José Tofano Brazil
Danielle da Silva Dias Brazil
Rafael Reyes United States
M. D. M. Cezar Brazil
Ben D. Perry Australia
Mi‐Hyun No South Korea
C. Di Massimo Italy
Shumpei Fujie Japan
Ai‐Lun Yang relative to Ricardo Luiz Damatto Brazil Ricardo Luiz Damatto's profile →
Citations per field
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Ricardo Luiz Damatto · 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

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201271
2 200346
3 200343
4 201337
5 201035
6 200235
7 201932
8 201827
9 202024
10 201817
11 202216
12 200716
13 201115
14 201014
15 200613
16 201913
17 202113
18 201510
19 202210
20
Enhancement of vascular function mediated by insulin and insulin-like growth factor-1 following single exercise session.
200810

About Ai‐Lun Yang

Ai‐Lun Yang is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Complementary and alternative medicine, Rehabilitation and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 552 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (8 papers), Cardiovascular and exercise physiology (8 papers), Cardiovascular Health and Disease Prevention (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Hormonal Regulation and Hypertension (3 papers) and Apelin-related biomedical research (3 papers). The work is most often cited by research in Complementary and alternative medicine (78 citations), Cardiology and Cardiovascular Medicine (154 citations), Rehabilitation (44 citations), Physiology (139 citations) and Biochemistry (24 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, International Journal of Environmental Research and Public Health, Aging, International Journal of Molecular Sciences and Nutrients.

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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