Bill Cheng

801 citations
31 papers · 630 · h-index 15

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research

Papers in

Bill Cheng

29 papers receiving 623 citations

Peers

Bill Cheng
Comparison fields: 5 of 91
  • Biomaterials 225
  • Cell Biology 138
  • Rehabilitation 55
  • Hematology 85
  • Immunology and Allergy 36
Replace Caitlin G. Decker with:
Caitlin G. Decker United States
Kazuto Fukunaga Japan
Zhengang Zha China
Jean‐Daniel Malcor United Kingdom
Donny Hanjaya‐Putra United States
David G. Belair United States
Avner Adini United States
Jean‐Pierre Caruelle France
Sean M. Anderson United States
Elke Wandel Germany
Bill Cheng relative to Caitlin G. Decker United States Caitlin G. Decker's profile →
Citations per field
00.5×4.7×
Caitlin G. Decker · 1×
Citations per year

Countries citing papers authored by Bill Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Bill Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011131
2 201261
3 200955
4 201752
5 201737
6 201634
7 201630
8 201625
9 201823
10 201522
11 201922
12 201619
13 201316
14 201716
15 202115
16 201810
17 20159
18 20229
19 20238
20 19927

About Bill Cheng

Bill Cheng is a scholar working on Surgery, Molecular Biology, Biomaterials, Cell Biology and Biomedical Engineering, having authored 31 papers that have together received 630 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (7 papers), Cell Adhesion Molecules Research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Nanoplatforms for cancer theranostics (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Nanoparticle-Based Drug Delivery (3 papers), RNA Interference and Gene Delivery (3 papers) and Periodontal Regeneration and Treatments (3 papers). The work is most often cited by research in Biomaterials (225 citations), Cell Biology (138 citations), Rehabilitation (55 citations), Hematology (85 citations) and Immunology and Allergy (36 citations). Bill Cheng has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include John M. Whitelock, Megan S. Lord, Simon J. McCarthy, Patrick C.H. Hsieh, Hsin‐Chieh Lin, J. Guy Lyons, MoonSun Jung, Brooke L. Farrugia, Laurent Terradot and Weiyun Yu. Their work appears in journals such as Biomaterials, Journal of Biological Chemistry, Analytical and Bioanalytical Chemistry, Journal of the American Chemical Society and Journal of Clinical Medicine.

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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