MacDonald

440 citations
8 papers · 359 · h-index 5

Impact in

  • Epidemiology top 10%
    • Nail Diseases and Treatments
    • Fungal Infections and Studies
  • Dermatology top 10%
    • Cutaneous lymphoproliferative disorders research
    • Skin Diseases and Diabetes

Papers in

MacDonald

8 papers receiving 324 citations

Peers

MacDonald
Comparison fields: 5 of 59
  • Epidemiology 273
  • Dermatology 68
  • Cell Biology 102
  • Pathology and Forensic Medicine 39
  • Rehabilitation 13
Replace Mu Hyoung Lee with:
Mu Hyoung Lee South Korea
Odunayo Moronfoluwa Oluwatosin Nigeria
Akshay Jain India
İlteriş Murat Emsen Türkiye
Yumi Koike Japan
Corinne Husson France
Nilüfer Yeşilırmak Türkiye
Piotr M. Wilkołek Poland
Anil Murat ÖZTÜRK Türkiye
José A. Palma Argentina
MacDonald relative to Mu Hyoung Lee South Korea Mu Hyoung Lee's profile →
Citations per field
00.5×2×4×6×7.8×
Mu Hyoung Lee · 1×
Citations per year

Countries citing papers authored by MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside MacDonald, 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 MacDonald Line = papers co-authored together MacDonald links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1998289
2 201224
3
Balance Performance in Female Collegiate Athletes
201414
4 199914
5 19999
6
Managing postoperative pain at home.
20005
7 19812
8 19922

About MacDonald

MacDonald is a scholar working on Dermatology, Epidemiology, Physical Therapy, Sports Therapy and Rehabilitation, Anesthesiology and Pain Medicine and Orthopedics and Sports Medicine, having authored 8 papers that have together received 359 indexed citations. Recurring topics across this work include Nail Diseases and Treatments (2 papers), Multiple Sclerosis Research Studies (1 paper), Fungal Infections and Studies (1 paper), Human Motion and Animation (1 paper), Molecular Junctions and Nanostructures (1 paper), Photocathodes and Microchannel Plates (1 paper), Quantum and electron transport phenomena (1 paper) and Hypertrophic osteoarthropathy and related conditions (1 paper). The work is most often cited by research in Epidemiology (273 citations), Dermatology (68 citations), Cell Biology (102 citations), Pathology and Forensic Medicine (39 citations) and Rehabilitation (13 citations). MacDonald has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Aditya Kumar Gupta,  Rich, John H. Pula, Griffiths, Harris, Allen, Christopher Christopher and John K. John. Their work appears in journals such as British Journal of Dermatology, IEEE Computer Graphics and Applications, Clinical and Experimental Dermatology, Clinical ophthalmology and PubMed.

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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