Daniel K. Ting

23 papers receiving 188 citations

Peers

Daniel K. Ting
Comparison fields: 5 of 65
  • Family Practice 8
  • Health 30
  • Public Health, Environmental and Occupational Health 63
  • Computer Science Applications 10
  • Endocrinology 8
Replace Christine Y. Lin with:
Christine Y. Lin United States
Rhianon Reynolds United Kingdom
Ariany Marques Vieira Canada
Miriam Schneidman United States
Enyinnaya Merengwa United States
Frances M. Biel United States
Percy Soto-Becerra Peru
Osvaldo Artaza Chile
Julia Notter Switzerland
Francis Masiye Malawi
Daniel K. Ting relative to Christine Y. Lin United States Christine Y. Lin's profile →
Citations per field
00.5×
Christine Y. Lin · 1×
Citations per year

Countries citing papers authored by Daniel K. Ting

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202029
2 201826
3 201119
4 202218
5 201817
6 202013
7 20189
8 20179
9 20198
10 20238
11 20176
12 20175
13 20224
14 20154
15 20184
16 20153
17 20233
18 20182
19 20162
20 20231

About Daniel K. Ting

Daniel K. Ting is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Health, Family Practice and Information Systems and Management, having authored 26 papers that have together received 193 indexed citations. Recurring topics across this work include Innovations in Medical Education (7 papers), Social Media in Health Education (3 papers), Health Sciences Research and Education (3 papers), Academic Publishing and Open Access (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Empathy and Medical Education (2 papers), Open Education and E-Learning (2 papers) and Interprofessional Education and Collaboration (2 papers). The work is most often cited by research in Family Practice (8 citations), Health (30 citations), Public Health, Environmental and Occupational Health (63 citations), Computer Science Applications (10 citations) and Endocrinology (8 citations). Daniel K. Ting has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Teresa M. Chan, Brent Thoma, Matthew B. Lanktree, Valerie Le Sage, Charles Viau, Fareen Zaver, Hervé Le Moual, Maria C. Cusimano, Elaine Van Melle and Andrew K. Hall. Their work appears in journals such as Canadian Journal of Emergency Medicine, AEM Education and Training, Canadian Medical Association Journal, Perspectives on Medical Education and Journal of Bacteriology.

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.

Explore authors with similar magnitude of impact