Grant J. Riew

18 papers receiving 254 citations

Peers

Grant J. Riew
Comparison fields: 5 of 70
  • Public Health, Environmental and Occupational Health 133
  • Health Informatics 4
  • Oncology 43
  • General Health Professions 38
  • Internal Medicine 5
Replace Marcelo Valacco with:
Marcelo Valacco Argentina
Thevaa Chandereng United States
Austin D. Chen United States
Nithish Jayakumar United Kingdom
Katherine E. Chike-Harris United States
Kate Moody United States
Louis C. Grandizio United States
Juan J. Andino United States
Rosemarie Filart United States
Murat Ferhat Ferhatoğlu Türkiye
Grant J. Riew relative to Marcelo Valacco Argentina Marcelo Valacco's profile →
Citations per field
00.5×1.5×1.9×
Marcelo Valacco · 1×
Citations per year

Countries citing papers authored by Grant J. Riew

Since Specialization
Citations

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

Fields of papers citing papers by Grant J. Riew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020115
2 202132
3 202020
4 201919
5 202119
6 202012
7 202310
8 20217
9 20245
10 20235
11 20215
12 20215
13 20233
14 20253
15 20232
16 20251
17 20231
18 20231
19 20250
20 20260

About Grant J. Riew

Grant J. Riew is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Surgery, Pharmacology and Oncology, having authored 20 papers that have together received 265 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (5 papers), Drug-Induced Adverse Reactions (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Healthcare professionals’ stress and burnout (2 papers), Patient Satisfaction in Healthcare (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper), Hip disorders and treatments (1 paper) and Dietetics, Nutrition, and Education (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (133 citations), Health Informatics (4 citations), Oncology (43 citations), General Health Professions (38 citations) and Internal Medicine (5 citations). Grant J. Riew has collaborated with scholars based in United States, Hong Kong and Switzerland. Frequent co-authors include Melvin C. Makhni, Mohammad El‐Sharkawi, Marcelo Valacco, Michael H. McCarthy, Howard S. An, Jason Pui Yin Cheung, Marko H. Neva, Dino Samartzis, Norman Chutkan and Philip K. Louie. Their work appears in journals such as Journal of the American Academy of Dermatology, European Spine Journal, Experimental Dermatology, Spine and Archives of Dermatological Research.

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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