Stella Chan

7 papers receiving 400 citations

Peers

Stella Chan
Comparison fields: 5 of 76
  • Radiological and Ultrasound Technology 204
  • Medical Laboratory Technology 37
  • Chemical Health and Safety 6
  • Statistics, Probability and Uncertainty 64
  • Geriatrics and Gerontology 31
Replace Janet J. Johnston with:
Janet J. Johnston United States
Jennie D. Bowen United States
Mary Matz United States
Adjhaporn Khunlertkit United States
Naomi Anderson United States
Myanna Duncan United Kingdom
Pamela Entzel United States
Sharla Drebit Canada
Guy Fragala United States
Stella Chan relative to Janet J. Johnston United States Janet J. Johnston's profile →
Citations per field
00.5×7.8×
Janet J. Johnston · 1×
Citations per year

Countries citing papers authored by Stella Chan

Since Specialization
Citations

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

Fields of papers citing papers by Stella Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2011208
2 2006166
3 200822
4 200010
5 201010
6 20096
7 20083

About Stella Chan

Stella Chan is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health, General Health Professions, Economics and Econometrics and Social Psychology, having authored 7 papers that have together received 425 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (4 papers), Clinical practice guidelines implementation (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Patient Satisfaction in Healthcare (1 paper), Cultural Competency in Health Care (1 paper), Patient-Provider Communication in Healthcare (1 paper), Occupational Health and Safety Research (1 paper) and Frailty in Older Adults (1 paper). The work is most often cited by research in Radiological and Ultrasound Technology (204 citations), Medical Laboratory Technology (37 citations), Chemical Health and Safety (6 citations), Statistics, Probability and Uncertainty (64 citations) and Geriatrics and Gerontology (31 citations). Stella Chan has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Gideon A. Caplan, Paul A. Schulte, Carol M. Stephenson, Benjamin C. Amick, Emma Irvin, Kimberley Cullen, Paula L. Grubb, Lynda S. Robson, Judith A. Clarke and Amber Bielecky. Their work appears in journals such as Scandinavian Journal of Work Environment & Health, European Spine Journal, Age and Ageing, Journal of Manipulative and Physiological Therapeutics and Spine.

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