Kay C Dee

2.6k citations
53 papers · 2.0k · h-index 21

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

46 papers receiving 1.9k citations

Peers

Kay C Dee
Comparison fields: 5 of 142
  • Biomaterials 618
  • Surfaces, Coatings and Films 241
  • Biomedical Engineering 946
  • Orthopedics and Sports Medicine 151
  • Architecture 29
Replace George D. Pins with:
George D. Pins United States
Kimberly A. Woodhouse Canada
Ken Webb United States
Karen M. Haberstroh United States
Andrés J. Garcı́a United States
Anshu B. Mathur United States
Jung Yul Lim United States
Carson H. Thomas United States
Manav Mehta Germany
Michele Marcolongo United States
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Citations per field
00.5×10×14.5×
George D. Pins · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003328
2 2003282
3 2002267
4 1998229
5 2004115
6 1996114
7 199981
8 200670
9 200653
10 199841
11 200040
12 200437
13 200437
14 200434
15 200432
16 200226
17 200324
18 200024
19 199522
20 200721

About Kay C Dee

Kay C Dee is a scholar working on Media Technology, Biomedical Engineering, Education, Surgery and Biomaterials, having authored 53 papers that have together received 2.0k 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 (618 citations), Surfaces, Coatings and Films (241 citations), Biomedical Engineering (946 citations), Orthopedics and Sports Medicine (151 citations) and Architecture (29 citations). Kay C Dee has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Rena Bizios, Thomas T. Andersen, Eric A. Nauman, Donald P. Gaver, 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, Journal of Biomedical Materials Research, Annals of Biomedical Engineering, Biomaterials 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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