Brian Chan

53 papers receiving 968 citations

Peers

Brian Chan
Comparison fields: 5 of 96
  • Occupational Therapy 134
  • Rehabilitation 102
  • Internal Medicine 26
  • Pathology and Forensic Medicine 117
  • Pharmacology 85
Replace Ngoc Wasson with:
Ngoc Wasson United States
Bernd Schweikert Germany
J. Andrew McClure Canada
Nancy Sikich Canada
Nahid Rianon United States
Grace Carolan‐Rees United Kingdom
Jean A. Orman United States
Amira M. Youssef Saudi Arabia
D A Bloch United States
Kenneth J. Rogers United States
Brian Chan relative to Ngoc Wasson United States Ngoc Wasson's profile →
Citations per field
00.5×2.7×
Ngoc Wasson · 1×
Citations per year

Countries citing papers authored by Brian Chan

Since Specialization
Citations

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

Fields of papers citing papers by Brian Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005149
2 201277
3 201775
4 200768
5 200555
6 202149
7 200647
8 200941
9 201139
10 201837
11 201334
12 201632
13 199729
14 201927
15 201118
16
IVIG for the treatment of toxic epidermal necrolysis.
200718
17 200917
18 198516
19 201815
20 202114

About Brian Chan

Brian Chan is a scholar working on Pathology and Forensic Medicine, Surgery, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Diagnosis and Treatment of Venous Diseases (3 papers), Pressure Ulcer Prevention and Management (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Drug-Induced Adverse Reactions (2 papers). The work is most often cited by research in Occupational Therapy (134 citations), Rehabilitation (102 citations), Internal Medicine (26 citations), Pathology and Forensic Medicine (117 citations) and Pharmacology (85 citations). Brian Chan has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Nicole Mittmann, Gideon Koren, Adrienne Einarson, Murray Krahn, Suzanne M. Cadarette, Walter P. Wodchis, Sanjog Kalra, Saad Shakir, A. Boshier and Peter C. Coyte. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, European Journal of Obstetrics & Gynecology and Reproductive Biology, Journal of Wound Care, Tobacco Induced Diseases and Journal of Cutaneous Medicine and Surgery.

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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