Aung Lin

1.5k citations
66 papers · 587 · h-index 15

Impact in

Papers in

Aung Lin

61 papers receiving 567 citations

Peers

Aung Lin
Comparison fields: 5 of 70
  • Ecological Modeling 88
  • Global and Planetary Change 187
  • Cardiology and Cardiovascular Medicine 161
  • Ecology, Evolution, Behavior and Systematics 127
  • Hepatology 31
Replace Cassandra E. Faux with:
Cassandra E. Faux Australia
Győző Horváth Hungary
Donald D. Smith United States
E Gias New Zealand
Rodrigo A. F. Redondo Brazil
Ferenc Lakatos Hungary
Catriona MacCallum United Kingdom
Guillaume Queney France
John E. Rice United States
Florian Kirchner Switzerland
Aung Lin relative to Cassandra E. Faux Australia Cassandra E. Faux's profile →
Citations per field
00.5×6.3×
Cassandra E. Faux · 1×
Citations per year

Countries citing papers authored by Aung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Aung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 199666
3 201825
4 202020
5 202119
6 201719
7 201819
8 202217
9 201816
10
Group G streptococcal arthritis.
198216
11 202115
12 201814
13 201814
14 202314
15 201914
16 202014
17 202014
18 202013
19 201812
20 202312

About Aung Lin

Aung Lin is a scholar working on Cardiology and Cardiovascular Medicine, Global and Planetary Change, Surgery, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 66 papers that have together received 587 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (13 papers), Atrial Fibrillation Management and Outcomes (12 papers), Amphibian and Reptile Biology (12 papers), Species Distribution and Climate Change (7 papers), Invertebrate Taxonomy and Ecology (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Mollusks and Parasites Studies (5 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Ecological Modeling (88 citations), Global and Planetary Change (187 citations), Cardiology and Cardiovascular Medicine (161 citations), Ecology, Evolution, Behavior and Systematics (127 citations) and Hepatology (31 citations). Aung Lin has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Evan S. H. Quah, L. Lee Grismer, Myint Kyaw Thura, Perry L. Wood, M. Murdoch, Chirasak Sutcharit, Somsak Panha, Yun‐Fan Liaw, Tao-Hsin Chang and Chia‐Ming Chu. Their work appears in journals such as Zootaxa, Heart Rhythm, EP Europace, JACC. Clinical electrophysiology and ZooKeys.

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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