Michael Whitely

578 citations
14 papers · 508 · h-index 11

Impact in

Papers in

    • Bone Tissue Engineering Materials 6
    • 3D Printing in Biomedical Research 4
    • Graphene and Nanomaterials Applications 1
    • Pickering emulsions and particle stabilization 5

Michael Whitely

14 papers receiving 503 citations

Peers

Michael Whitely
Comparison fields: 5 of 68
  • Biomaterials 171
  • Molecular Medicine 51
  • Rehabilitation 38
  • Biomedical Engineering 254
  • Automotive Engineering 65
Replace Thomas E. Paterson with:
Thomas E. Paterson United Kingdom
Colin Sherborne United Kingdom
Betül Aldemir Dikici Türkiye
Xiong Xiong China
Lukas Gritsch Germany
Serkan Dıkıcı Türkiye
Aldo R. Boccaccini Germany
Ana C. Vale Portugal
Md. Nurus Sakib Bangladesh
Boonlom Thavornyutikarn Thailand
Michael Whitely relative to Thomas E. Paterson United Kingdom Thomas E. Paterson's profile →
Citations per field
00.5×3.7×
Thomas E. Paterson · 1×
Citations per year

Countries citing papers authored by Michael Whitely

Since Specialization
Citations

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

Fields of papers citing papers by Michael Whitely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201573
2 201766
3 201862
4 201453
5 201544
6 201942
7 201439
8 201635
9 201732
10 201929
11 201914
12 20217
13 20226
14 20216

About Michael Whitely

Michael Whitely is a scholar working on Biomedical Engineering, Materials Chemistry, Surgery, Biomaterials and Molecular Biology, having authored 14 papers that have together received 508 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (6 papers), Pickering emulsions and particle stabilization (5 papers), 3D Printing in Biomedical Research (4 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Silk-based biomaterials and applications (2 papers), Orthopaedic implants and arthroplasty (2 papers), Graphene and Nanomaterials Applications (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Biomaterials (171 citations), Molecular Medicine (51 citations), Rehabilitation (38 citations), Biomedical Engineering (254 citations) and Automotive Engineering (65 citations). Michael Whitely has collaborated with scholars based in United States. Frequent co-authors include Elizabeth Cosgriff‐Hernandez, Jennifer L. Robinson, Prachi Dhavalikar, Nicholas A. Sears, Stacy Cereceres, Roya M. Nezarati, Alysha Kishan, Hannah A. Pearce, Megan Brooks and Thomas S. Wilems. Their work appears in journals such as Journal of Materials Chemistry B, Acta Biomaterialia, Journal of Orthopaedic Surgery and Research, APL Bioengineering and Biomacromolecules.

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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