Matthew Traylor
- Neurology top 5%
- Cerebrovascular and genetic disorders 7
- Neurological diseases and metabolism 4
- Neurology top 5%
- Cerebrovascular and genetic disorders 7
- Neurological diseases and metabolism 4
- Genetics top 5%
- Genetic Associations and Epidemiology 23
- Rheumatology top 5%
- Folate and B Vitamins Research 5
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- RNA regulation and disease 7
- Bioinformatics and Genomic Networks 5
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- Lipoproteins and Cardiovascular Health 5
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Hugh S. MarkusMartin DichgansSusanna C. LarssonRainer MalikCathie SudlowLoes C.A. Rutten‐JacobsCathryn M. LewisStephen Burgess
- Cited by
- NeurologyGeneticsRheumatology
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Matthew Traylor
54 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Neurology 296
- Neurology 400
- Genetics 645
- Rheumatology 272
- Cardiology and Cardiovascular Medicine 350
Countries citing papers authored by Matthew Traylor
This map shows the geographic impact of Matthew Traylor'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 Traylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Traylor more than expected).
Fields of papers citing papers by Matthew Traylor
This network shows the impact of papers produced by Matthew Traylor. 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 Traylor. The network helps show where Matthew Traylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Traylor, 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 | 2025 | 2 | |
| 2 | 2022 | 59 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 112 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 58 | |
| 10 | 2019 | 33 | |
| 11 | 2019 | 12 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 29 | |
| 14 | Genetic risk, incident stroke, and the benefits of adhering to a healthy lifestyle: cohort study of 306 473 UK Biobank participantsbreakdown → | 2018 | 221 |
| 15 | 2018 | 54 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 53 | |
| 18 | Association of MTHFR genotype with lacunar stroke supports causal role for homocysteine | 2015 | 1 |
| 19 | 2015 | 15 | |
| 20 | 2014 | 13 |
About Matthew Traylor
Matthew Traylor is a scholar working on Genetics, Rheumatology, Neurology, Neurology and Cancer Research, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (23 papers), RNA regulation and disease (7 papers), Cerebrovascular and genetic disorders (7 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer-related molecular mechanisms research (5 papers), Bioinformatics and Genomic Networks (5 papers), Folate and B Vitamins Research (5 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Neurology (296 citations), Neurology (400 citations), Genetics (645 citations), Rheumatology (272 citations) and Cardiology and Cardiovascular Medicine (350 citations). Matthew Traylor has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Hugh S. Markus, Martin Dichgans, Susanna C. Larsson, Rainer Malik, Cathie Sudlow, Loes C.A. Rutten‐Jacobs, Cathryn M. Lewis, Stephen Burgess, Hugh S. Markus and Kristiina Rannikmäe. Their work appears in journals such as Stroke, Neurology, PLoS ONE, Brain and Neurology Genetics.
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.