Will Zhang

32 papers receiving 934 citations

Peers

Will Zhang
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 477
  • Biomedical Engineering 443
  • Biomaterials 128
  • Surgery 328
  • Fluid Flow and Transfer Processes 45
Replace John F. Eberth with:
John F. Eberth United States
Paul N. Watton United Kingdom
Alexander Rachev United States
Nasser Fatouraee Iran
F. C. P. Yin United States
S. Q. Liu United States
Karen May‐Newman United States
Andreas Jörg Schriefl Austria
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Will Zhang relative to John F. Eberth United States John F. Eberth's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Will Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Will Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201494
2 201580
3 201569
4 201664
5 201662
6 202155
7 201554
8 201949
9 201546
10 202043
11 201439
12 201434
13 202134
14 201731
15 201728
16 202123
17 202121
18 201820
19 201619
20 202316

About Will Zhang

Will Zhang is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery, Mechanical Engineering and Fluid Flow and Transfer Processes, having authored 33 papers that have together received 941 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (22 papers), Cardiac Valve Diseases and Treatments (11 papers), Cardiovascular Function and Risk Factors (10 papers), Coronary Interventions and Diagnostics (5 papers), Rheology and Fluid Dynamics Studies (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Tribology and Lubrication Engineering (3 papers) and Orthopaedic implants and arthroplasty (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (477 citations), Biomedical Engineering (443 citations), Biomaterials (128 citations), Surgery (328 citations) and Fluid Flow and Transfer Processes (45 citations). Will Zhang has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Michael S. Sacks, David Nordsletten, Marc A. Simon, Michael R. Hill, Chung‐Hao Lee, Jun Liao, Gerhard A. Holzapfel, Salma Ayoub, Gerhard Sommer and Michael S. Sacks. Their work appears in journals such as Acta Biomaterialia, Journal of the mechanical behavior of biomedical materials, Journal of Biomechanical Engineering, Biomechanics and Modeling in Mechanobiology and Computer Methods in Applied Mechanics and Engineering.

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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