Daniel W. McKee

1.2k citations
39 papers · 907 · h-index 16

Impact in

  • Surgery top 10%
    • Orthopedic Surgery and Rehabilitation
    • Tissue Engineering and Regenerative Medicine
    • Anesthesia and Pain Management
    • Surgical Sutures and Adhesives
    • Breast Implant and Reconstruction
    • Elbow and Forearm Trauma Treatment

Papers in

Daniel W. McKee

38 papers receiving 847 citations

Peers

Daniel W. McKee
Comparison fields: 5 of 117
  • Surgery 437
  • Rehabilitation 61
  • Dermatology 70
  • Biomaterials 81
  • Anesthesiology and Pain Medicine 20
Replace Duc Toan Bui with:
Duc Toan Bui United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel W. McKee

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. McKee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. McKee. 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 Daniel W. McKee. The network helps show where Daniel W. McKee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010145
2 2010121
3 201160
4 201450
5 201948
6 201946
7 202145
8 200945
9 201139
10 197938
11 201134
12 201633
13 201324
14 202019
15 201817
16 201716
17 197315
18 202314
19 201712
20 200410

About Daniel W. McKee

Daniel W. McKee is a scholar working on Surgery, Computer Vision and Pattern Recognition, Dermatology, Artificial Intelligence and Oral Surgery, having authored 39 papers that have together received 907 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (8 papers), AI in cancer detection (7 papers), Gene expression and cancer classification (5 papers), Image Retrieval and Classification Techniques (3 papers), Facial Rejuvenation and Surgery Techniques (3 papers), Surgical Sutures and Adhesives (3 papers), Anesthesia and Pain Management (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Surgery (437 citations), Rehabilitation (61 citations), Dermatology (70 citations), Biomaterials (81 citations) and Anesthesiology and Pain Medicine (20 citations). Daniel W. McKee has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Donald H. Lalonde, Jan F. Lalonde, Dr Achilleas Thoma, Michael S. G. Bell, Amanda Higgins, Svetlana Lazebnik, William P. Adams, Murray Allen, Martin R. LeBlanc and Peter Chang. Their work appears in journals such as Plastic & Reconstructive Surgery, American Industrial Hygiene Association Journal, Anesthesiology, Molecular Human Reproduction and Journal of Controlled Release.

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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