Matthew Traylor

21.1k citations
55 papers · 2.3k indexed · 1 hit paper · h-index 25

Matthew Traylor

54 papers receiving 2.3k citations

Hit Papers

Genetic risk, incident stroke, and the benefits of adheri...221201820262020202350100150200

Peers

Matthew Traylor
Comparison fields: 5 of 111
  • Neurology 296
  • Neurology 400
  • Genetics 645
  • Rheumatology 272
  • Cardiology and Cardiovascular Medicine 350
Replace Bradford B. Worrall with:
Bradford B. Worrall United States
Cristina Sarti Italy
Lei Cao China
Diederick E. Grobbee Netherlands
Ludmila Pawlikowska United States
Jordi Jiménez-Conde Spain
Ángel Ois Spain
Bo Song China
Anastasios Kalofoutis Greece
Irene Meissner United States
Matthew Traylor relative to Bradford B. Worrall United States Bradford B. Worrall's profile →
Citations per field
00.5×1.7×
Bradford B. Worrall · 1×
Citations per year

Countries citing papers authored by Matthew Traylor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Matthew Traylor Line = papers co-authored together Matthew Traylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202259
3 20228
4 202116
5 202131
6 202127
7 2020112
8 20201
9 201958
10 201933
11 201912
12 201914
13 201929
14
Genetic risk, incident stroke, and the benefits of adhering to a healthy lifestyle: cohort study of 306 473 UK Biobank participantsbreakdown →
2018221
15 201854
16 201824
17 201853
18
Association of MTHFR genotype with lacunar stroke supports causal role for homocysteine
20151
19 201515
20 201413

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.

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