Jun Liao

140 papers receiving 4.8k citations

Peers

Jun Liao
Comparison fields: 5 of 160
  • Biomaterials 1.6k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Surgery 2.0k
  • Biomedical Engineering 1.3k
  • Sensory Systems 96
Replace Lucie Germain with:
Lucie Germain Canada
Wendy F. Liu United States
François A. Auger Canada
Jonathan Talbot Butcher United States
Craig A. Simmons Canada
Daniel John Kelly Ireland
Herman H. Vandenburgh United States
Tatsuo Nakamura Japan
Shizuko Ichinose Japan
Robert G. Dennis United States
Jun Liao relative to Lucie Germain Canada Lucie Germain's profile →
Citations per field
00.5×2×3×4.4×
Lucie Germain · 1×
Citations per year

Countries citing papers authored by Jun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007245
2 2004202
3 2014151
4 2004147
5 2010143
6 2006135
7 2006123
8 2008119
9 2011115
10 2008114
11 2007111
12 2006110
13 2020109
14 2008106
15 200692
16 200392
17 200785
18 201383
19 200475
20 200974

About Jun Liao

Jun Liao is a scholar working on Biomaterials, Cardiology and Cardiovascular Medicine, Surgery, Ophthalmology and Pulmonary and Respiratory Medicine, having authored 146 papers that have together received 4.9k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (44 papers), Tissue Engineering and Regenerative Medicine (42 papers), Cardiac Valve Diseases and Treatments (32 papers), Elasticity and Material Modeling (19 papers), Automotive and Human Injury Biomechanics (14 papers), Cardiovascular Function and Risk Factors (11 papers), Cardiac Structural Anomalies and Repair (11 papers) and Congenital heart defects research (10 papers). The work is most often cited by research in Biomaterials (1.6k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Surgery (2.0k citations), Biomedical Engineering (1.3k citations) and Sensory Systems (96 citations). Jun Liao has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Michael S. Sacks, Bernice E. Morrow, Erinn M. Joyce, Ivan Veselý, Lakiesha N. Williams, Sonja Nowotschin, Dan Teodor Simionescu, Jonathan S. Grashow, M.F. Horstemeyer and Yi Hong. Their work appears in journals such as Journal of Biomechanics, Annals of Biomedical Engineering, Journal of Biomechanical Engineering, Journal of the mechanical behavior of biomedical materials and Acta Biomaterialia.

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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