Jun Liao

6.1k citations
140 papers · 4.6k · h-index 41

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 40
    • Cardiac Structural Anomalies and Repair 11
    • Electrospun Nanofibers in Biomedical Applications 41

Jun Liao

135 papers receiving 4.5k citations

Peers

Jun Liao
Comparison fields: 5 of 156
  • Biomaterials 1.5k
  • Cardiology and Cardiovascular Medicine 1.0k
  • Surgery 1.8k
  • Biomedical Engineering 1.3k
  • Sensory Systems 86
Replace Lucie Germain with:
Lucie Germain Canada
Klaus‐Peter Schmitz Germany
Wendy F. Liu United States
Craig A. Simmons Canada
Jonathan T. Butcher United States
François A. Auger Canada
Herman H. Vandenburgh United States
Daniel J. Kelly Ireland
Tatsuo Nakamura Japan
Robert G. Dennis United States
Jun Liao relative to Lucie Germain Canada Lucie Germain's profile →
Citations per field
00.5×4.6×
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 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007234
2 2004187
3 2014143
4 2010133
5 2004133
6 2006122
7 2008116
8 2006109
9 2007109
10 2011107
11 2020106
12 2006104
13 2008102
14 2008101
15 200386
16 200685
17 200782
18 201374
19 200472
20 200970

About Jun Liao

Jun Liao is a scholar working on Surgery, Biomaterials, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 140 papers that have together received 4.6k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (41 papers), Tissue Engineering and Regenerative Medicine (40 papers), Cardiac Valve Diseases and Treatments (31 papers), Elasticity and Material Modeling (20 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 (1.5k citations), Cardiology and Cardiovascular Medicine (1.0k citations), Surgery (1.8k citations), Biomedical Engineering (1.3k citations) and Sensory Systems (86 citations). Jun Liao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael S. Sacks, Bernice E. Morrow, Erinn M. Joyce, Lakiesha N. Williams, Ivan Veselý, Sonja Nowotschin, Dan Simionescu, Jonathan Grashow, M.F. Horstemeyer and Yi Hong. Their work appears in journals such as Journal of Biomechanics, Journal of Biomechanical Engineering, Annals of Biomedical Engineering, Acta Biomaterialia and Journal of the mechanical behavior of biomedical materials.

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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