Ming‐Ka Chan

1.6k citations
33 papers · 1.0k indexed · 1 hit paper · h-index 13

Ming‐Ka Chan

30 papers receiving 996 citations

Hit Papers

Core principles of assessment in competency-based medical...3372017202620202023100200300

Peers

Ming‐Ka Chan
Comparison fields: 5 of 83
  • Family Practice 371
  • Research and Theory 44
  • Public Health, Environmental and Occupational Health 859
  • General Health Professions 327
  • Leadership and Management 13
Replace Kelly J. Caverzagie with:
Kelly J. Caverzagie United States
Janet Grant United Kingdom
Elizabeth Bernabeo United States
Daniel R. Wolpaw United States
Georgette A. Stratos United States
H. Barrett Fromme United States
Michael D. Prislin United States
Iain Colthart United Kingdom
Frank T. Stritter United States
Maria Wamsley United States
Ming‐Ka Chan relative to Kelly J. Caverzagie United States Kelly J. Caverzagie's profile →
Citations per field
00.5×1.5×
Kelly J. Caverzagie · 1×
Citations per year

Countries citing papers authored by Ming‐Ka Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ka Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ka Chan. 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 Ming‐Ka Chan. The network helps show where Ming‐Ka Chan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20231
4 20231
5 20230
6 20222
7 20224
8 20217
9 202015
10 202026
11 20183
12 20186
13 201726
14 20174
15 201777
16 201613
17 201615
18 201222
19 20124
20 200625

About Ming‐Ka Chan

Ming‐Ka Chan is a scholar working on Family Practice, Emergency Medical Services, Public Health, Environmental and Occupational Health, General Health Professions and Health Information Management, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Innovations in Medical Education (24 papers), Clinical Reasoning and Diagnostic Skills (11 papers), Interprofessional Education and Collaboration (10 papers), Global Health Workforce Issues (6 papers), Empathy and Medical Education (5 papers), Radiology practices and education (5 papers), Hospital Admissions and Outcomes (2 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Family Practice (371 citations), Research and Theory (44 citations), Public Health, Environmental and Occupational Health (859 citations), General Health Professions (327 citations) and Leadership and Management (13 citations). Ming‐Ka Chan has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Jocelyn Lockyer, Carol Carraccio, Jason R. Frank, Linda Snell, Claire Touchie, Danielle Hart, Sydney Smee, Eric S. Holmboe, Elaine Van Melle and Olle ten Cate. Their work appears in journals such as Medical Teacher, Academic Medicine, BMC Medical Education, The Journal of Physician Assistant Education and Radiotherapy and Oncology.

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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