Stephanie Sutherland

54 papers receiving 1.1k citations

Peers

Stephanie Sutherland
Comparison fields: 5 of 117
  • Family Practice 25
  • Information Systems and Management 65
  • Health 69
  • Public Health, Environmental and Occupational Health 234
  • Oncology 148
Replace Martin Gellerstedt with:
Martin Gellerstedt Sweden
Sean Tackett United States
Kathleen Watson United States
Gary M. Velan Australia
Amanda Bolderston Canada
Fiona Ross United Kingdom
Lisa Gray Canada
Ole Nørgaard Denmark
Anne Marie Apanovitch United States
Edward J. Saunders United States
Stephanie Sutherland relative to Martin Gellerstedt Sweden Martin Gellerstedt's profile →
Citations per field
00.5×5.7×
Martin Gellerstedt · 1×
Citations per year

Countries citing papers authored by Stephanie Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010111
2 2015109
3 201386
4 201779
5 201572
6 200471
7 201967
8 201260
9 201552
10 200536
11 201627
12 202027
13 201426
14 202022
15 200221
16 201021
17 201819
18 201417
19 201317
20 202216

About Stephanie Sutherland

Stephanie Sutherland is a scholar working on Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Oncology, Management Science and Operations Research and Information Systems and Management, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evaluation and Performance Assessment (6 papers), Innovations in Medical Education (6 papers), Breast Cancer Treatment Studies (5 papers), Educational Assessment and Improvement (5 papers), Organ Donation and Transplantation (5 papers), Cancer Treatment and Pharmacology (4 papers), Advanced Breast Cancer Therapies (4 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Family Practice (25 citations), Information Systems and Management (65 citations), Health (69 citations), Public Health, Environmental and Occupational Health (234 citations) and Oncology (148 citations). Stephanie Sutherland has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Alireza Jalali, M. Dylan Bould, Steven T. Katz, Viren N. Naik, Devin Sydor, Zeev Friedman, Asif Doja, S. Ashley, Emma J. Stodel and Anna Byszewski. Their work appears in journals such as Journal of Clinical Oncology, Canadian Journal of Anesthesia/Journal canadien d anesthésie, BMJ Open, Breast Cancer Research and Treatment and Medical Teacher.

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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