Kay C Dee

2.6k citations
51 papers · 1.8k · h-index 20

Impact in

Papers in

    • Engineering Education and Curriculum Development 14
    • Experimental Learning in Engineering 4
    • Bone Tissue Engineering Materials 8
    • Biomedical and Engineering Education 4
    • 3D Printing in Biomedical Research 4

Kay C Dee

44 papers receiving 1.8k citations

Peers

Kay C Dee
Comparison fields: 5 of 141
  • Biomaterials 526
  • Surfaces, Coatings and Films 216
  • Biomedical Engineering 847
  • Architecture 29
  • Orthopedics and Sports Medicine 134
Replace Kimberly A. Woodhouse with:
Kimberly A. Woodhouse Canada
George D. Pins United States
Ken Webb United States
Karen M. Haberstroh United States
Anshu B. Mathur United States
Stephen D. Waldman Canada
Karen J. L. Burg United States
Willeke F. Daamen Netherlands
Andrew R. Cameron Ireland
Steven G. Wise Australia
Kay C Dee relative to Kimberly A. Woodhouse Canada Kimberly A. Woodhouse's profile →
Citations per field
00.5×4.6×
Kimberly A. Woodhouse · 1×
Citations per year

Countries citing papers authored by Kay C Dee

Since Specialization
Citations

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

Fields of papers citing papers by Kay C Dee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay C Dee. 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 Kay C Dee. The network helps show where Kay C Dee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003297
2 2003265
3 2002241
4 1998203
5 2004110
6 199699
7 199977
8 200654
9 200642
10 199841
11 200037
12 200436
13 200431
14 200430
15 200428
16 200226
17 200022
18 199521
19 200720
20 200320

About Kay C Dee

Kay C Dee is a scholar working on Media Technology, Biomedical Engineering, Education, Surgery and Biomaterials, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Engineering Education and Curriculum Development (14 papers), Bone Tissue Engineering Materials (8 papers), Engineering Education and Pedagogy (7 papers), Innovative Teaching Methods (5 papers), Learning Styles and Cognitive Differences (5 papers), Experimental Learning in Engineering (4 papers), Biomedical and Engineering Education (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Biomaterials (526 citations), Surfaces, Coatings and Films (216 citations), Biomedical Engineering (847 citations), Architecture (29 citations) and Orthopedics and Sports Medicine (134 citations). Kay C Dee has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Rena Bizios, Thomas T. Andersen, Donald P. Gaver, Eric A. Nauman, Glen A. Livesay, David A. Puleo, Eileen Gentleman, Darryl Dickerson, David C. Rueger and Thomas J. Webster. Their work appears in journals such as Tissue Engineering, Biomaterials, Annals of Biomedical Engineering, Journal of Biomedical Materials Research and Journal of Engineering Education.

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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