Matthew R. Ban
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- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Hormonal Regulation and Hypertension 4
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- Lipid metabolism and disorders 14
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 12
- Surgery top 5%
- Lipoproteins and Cardiovascular Health 18
- Genetics top 5%
- Genetic Associations and Epidemiology 10
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- Peroxisome Proliferator-Activated Receptors 5
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- Genetic factors in colorectal cancer 3
- Co-authors
- Robert A. HegeleHenian CaoJian WangMurray W. HuffRebecca L. PollexAdam D. McIntyreSalim YusufSonia S. Anand
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineCancer Research
- Journals
- Journal of Lipid Research (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (4 papers)Human Molecular Genetics (3 papers)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Matthew R. Ban
44 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 525
- Cardiology and Cardiovascular Medicine 634
- Cancer Research 302
- Surgery 803
- Genetics 410
Countries citing papers authored by Matthew R. Ban
This map shows the geographic impact of Matthew R. Ban'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 Matthew R. Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Ban more than expected).
Fields of papers citing papers by Matthew R. Ban
This network shows the impact of papers produced by Matthew R. Ban. 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 Matthew R. Ban. The network helps show where Matthew R. Ban may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew R. Ban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2019 | 11 | |
| 3 | 2019 | 4 | |
| 4 | 2017 | 47 | |
| 5 | 2016 | 14 | |
| 6 | 2016 | 10 | |
| 7 | 2015 | 79 | |
| 8 | 2014 | 19 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 9 | |
| 11 | 2010 | 4 | |
| 12 | 2009 | 74 | |
| 13 | 2008 | 95 | |
| 14 | 2008 | 48 | |
| 15 | 2007 | 32 | |
| 16 | 2007 | 111 | |
| 17 | 2004 | 64 | |
| 18 | 2004 | 44 | |
| 19 | 2001 | 22 | |
| 20 | 1999 | 10 |
About Matthew R. Ban
Matthew R. Ban is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (18 papers), Lipid metabolism and disorders (14 papers), Cancer, Lipids, and Metabolism (12 papers), Genetic Associations and Epidemiology (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Hormonal Regulation and Hypertension (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (525 citations), Cardiology and Cardiovascular Medicine (634 citations) and Cancer Research (302 citations). Matthew R. Ban has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Robert A. Hegele, Henian Cao, Jian Wang, Murray W. Huff, Rebecca L. Pollex, Adam D. McIntyre, Salim Yusuf, Sonia S. Anand, John F. Robinson and Brooke A. Miskie. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Human Molecular Genetics, Canadian Journal of Cardiology and Lipids in Health and Disease.
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.