Weining Bian

1.4k citations
11 papers · 1.1k · h-index 10

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 9
    • Electrospun Nanofibers in Biomedical Applications 7

Weining Bian

11 papers receiving 1.1k citations

Peers

Weining Bian
Comparison fields: 5 of 65
  • Biomaterials 365
  • Biomedical Engineering 663
  • Surgery 542
  • Automotive Engineering 108
  • Cellular and Molecular Neuroscience 162
Replace Mark Juhas with:
Mark Juhas United States
Alastair Khodabukus United States
Nenad Bursac United States
Paul E. Kosnik United States
Anne Hsieh Canada
Reuven Edri Israel
Andrew K. Capulli United States
Idit Goldfracht Israel
Lior Wertheim Israel
Sean L. Kim United States
Weining Bian relative to Mark Juhas United States Mark Juhas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weining Bian

Since Specialization
Citations

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

Fields of papers citing papers by Weining Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Weining Bian, 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 Weining Bian Line = papers co-authored together Weining Bian links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011234
2 2008211
3 2009171
4 2014103
5 200875
6 201470
7 201166
8 201049
9 200643
10 201140
11
Abstract 18051: Engineering of Functional Cardiac Tissue Patch with Realistic Myofiber Orientations
20101

About Weining Bian

Weining Bian is a scholar working on Surgery, Biomaterials, Molecular Biology, Biomedical Engineering and Cell Biology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (9 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), 3D Printing in Biomedical Research (4 papers), Muscle Physiology and Disorders (3 papers), Cellular Mechanics and Interactions (2 papers), Congenital heart defects research (1 paper), Muscle metabolism and nutrition (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Biomaterials (365 citations), Biomedical Engineering (663 citations), Surgery (542 citations), Automotive Engineering (108 citations) and Cellular and Molecular Neuroscience (162 citations). Weining Bian has collaborated with scholars based in United States. Frequent co-authors include Nenad Bursac, Nima Badie, Robert G. Dennis, Brian Liau, Christopher P. Jackman, Leslie Tung, Mark Juhas, Nicolas Christoforou, Paul Esteso and Joshua M. Hare. Their work appears in journals such as Biomaterials, Circulation Research, Biofabrication, The FASEB Journal and Circulation.

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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