Brian Yan

30 papers receiving 410 citations

Peers

Brian Yan
Comparison fields: 5 of 31
  • Gastroenterology 55
  • Genetics 175
  • Oncology 38
  • Nutrition and Dietetics 10
  • Critical Care and Intensive Care Medicine 3
Replace Cécile Poupardin with:
Cécile Poupardin France
Maria Cristina Lucanto Italy
Christine H Albini United States
Alessandra Losco Italy
Kate Fox United States
Tetsuji Kudo Japan
Lucas Faraco Sobrado Brazil
Florin Costea Canada
Rita Romano Italy
Pritesh S Morar United Kingdom
Brian Yan relative to Cécile Poupardin France Cécile Poupardin's profile →
Citations per field
00.5×1.5×2×2.3×
Cécile Poupardin · 1×
Citations per year

Countries citing papers authored by Brian Yan

Since Specialization
Citations

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

Fields of papers citing papers by Brian Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201559
2 201757
3 201450
4 202232
5 201626
6 202224
7 201717
8 201915
9 201313
10 202112
11 201511
12 201711
13 202011
14 201710
15 20219
16 20218
17 20087
18 20187
19
HLA-DQA1-HLA-DRB1 polymorphism is a major predictor of azathioprine-induced pancreatitis in patients with inflammatory bowel disease
20186
20 20216

About Brian Yan

Brian Yan is a scholar working on Gastroenterology, Genetics, Oncology, Nutrition and Dietetics and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 425 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (14 papers), Gastrointestinal Bleeding Diagnosis and Treatment (7 papers), Colorectal Cancer Screening and Detection (4 papers), Effects of Radiation Exposure (1 paper), Fungal Infections and Studies (1 paper) and Clinical Nutrition and Gastroenterology (1 paper). The work is most often cited by research in Gastroenterology (55 citations), Genetics (175 citations), Oncology (38 citations), Nutrition and Dietetics (10 citations) and Critical Care and Intensive Care Medicine (3 citations). Brian Yan has collaborated with scholars based in Canada, Saudi Arabia and Bahrain. Frequent co-authors include Michael Sai Lai Sey, Nilesh Chande, Terry P. Ponich, Jamie C. Gregor, Vipul Jairath, Aze Suzanne Wilson, James C. Gregor, Mahmoud Hisham Mosli, Melanie D. Beaton and Richard B. Kim. Their work appears in journals such as Scandinavian Journal of Gastroenterology, Journal of Ultrasound in Medicine, Inflammatory Bowel Diseases, Canadian Journal of Gastroenterology and Hepatology and JAMA Network Open.

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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