Hugh S. Markus

10.5k total citations
18 papers, 584 citations indexed

About

Hugh S. Markus is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Hugh S. Markus has authored 18 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Hugh S. Markus's work include Genetic Associations and Epidemiology (10 papers), Nuclear Receptors and Signaling (3 papers) and Moyamoya disease diagnosis and treatment (2 papers). Hugh S. Markus is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Nuclear Receptors and Signaling (3 papers) and Moyamoya disease diagnosis and treatment (2 papers). Hugh S. Markus collaborates with scholars based in United Kingdom, Germany and United States. Hugh S. Markus's co-authors include Matthew Traylor, Steve Bevan, Martin Dichgans, Cathie Sudlow, Rainer Malik, Poneh Adib‐Samii, Peter M. Rothwell, Martin Farrall, Nicola Paul and Caroline Jackson and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Hugh S. Markus

16 papers receiving 577 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hugh S. Markus United Kingdom 12 160 129 127 110 110 18 584
Poneh Adib‐Samii United Kingdom 7 124 0.8× 85 0.7× 78 0.6× 274 2.5× 74 0.7× 8 577
Claes Ladenvall Sweden 14 325 2.0× 220 1.7× 222 1.7× 90 0.8× 92 0.8× 25 906
Ting Huang China 10 194 1.2× 187 1.4× 47 0.4× 111 1.0× 41 0.4× 35 629
Karin Hultman Sweden 13 153 1.0× 69 0.5× 26 0.2× 61 0.6× 52 0.5× 19 584
Tong Cheng China 7 102 0.6× 156 1.2× 35 0.3× 50 0.5× 44 0.4× 11 511
Igor Kovačević Netherlands 15 284 1.8× 202 1.6× 21 0.2× 100 0.9× 66 0.6× 21 643
Michael Reiner Germany 9 312 1.9× 102 0.8× 52 0.4× 114 1.0× 52 0.5× 13 860
Burçak Vural Türkiye 12 251 1.6× 58 0.4× 47 0.4× 88 0.8× 71 0.6× 38 566
Tünde Csépány Hungary 13 255 1.6× 146 1.1× 52 0.4× 83 0.8× 30 0.3× 42 915
Alexander L. Shifrin United States 12 84 0.5× 96 0.7× 122 1.0× 229 2.1× 24 0.2× 23 767

Countries citing papers authored by Hugh S. Markus

Since Specialization
Citations

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

Fields of papers citing papers by Hugh S. Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugh S. Markus. 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 Hugh S. Markus. The network helps show where Hugh S. Markus may publish in the future.

Co-authorship network of co-authors of Hugh S. Markus

This figure shows the co-authorship network connecting the top 25 collaborators of Hugh S. Markus. A scholar is included among the top collaborators of Hugh S. Markus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hugh S. Markus. Hugh S. Markus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Chatterjee, Soumick, Yeerfan Jiaerken, Philip Benjamin, et al.. (2025). LUMEN–A deep learning pipeline for analysis of the 3D morphology of the cerebral lenticulostriate arteries from time-of-flight 7T MRI. NeuroImage. 318. 121377–121377.
2.
Koohi, Fatemeh, Eric L. Harshfield, Dipender Gill, et al.. (2024). Optimizing treatment of cardiovascular risk factors in cerebral small vessel disease using genetics. Brain. 148(6). 1936–1949.
3.
Malik, Rainer, Kristiina Rannikmäe, Matthew Traylor, et al.. (2018). Genome‐wide meta‐analysis identifies 3 novel loci associated with stroke. Annals of Neurology. 84(6). 934–939. 53 indexed citations
4.
Traylor, Matthew, Charles Curtis, Hamel Patel, et al.. (2017). Genetic and environmental risk factors for rheumatoid arthritis in a UK African ancestry population: the GENRA case–control study. Lara D. Veeken. 56(8). 1282–1292. 15 indexed citations
5.
Traylor, Matthew, Loes C.A. Rutten‐Jacobs, Charles Curtis, et al.. (2017). Genetics of stroke in a UK African ancestry case-control study. Neurology Genetics. 3(2). e142–e142. 12 indexed citations
6.
Traylor, Matthew, Poneh Adib‐Samii, Denise Harold, et al.. (2016). Shared genetic contribution to ischemic stroke and Alzheimer's disease. Annals of Neurology. 79(5). 739–747. 49 indexed citations
7.
Hanscombe, Ken B., Matthew Traylor, Pirro G. Hysi, et al.. (2015). Genetic Factors Influencing Coagulation Factor XIII B-Subunit Contribute to Risk of Ischemic Stroke. Stroke. 46(8). 2069–2074. 15 indexed citations
8.
Traylor, Matthew, Steve Bevan, Jean‐Claude Baron, et al.. (2015). Genetic Architecture of Lacunar Stroke. Stroke. 46(9). 2407–2412. 27 indexed citations
9.
Traylor, Matthew, Christopher D. Anderson, Robert Hurford, Steve Bevan, & Hugh S. Markus. (2015). Oxidative phosphorylation and lacunar stroke. Neurology. 86(2). 141–145. 7 indexed citations
10.
Traylor, Matthew, Loes C.A. Rutten‐Jacobs, Elizabeth Holliday, et al.. (2015). Differences in Common Genetic Predisposition to Ischemic Stroke by Age and Sex. Stroke. 46(11). 3042–3047. 25 indexed citations
11.
Traylor, Matthew, Hugh S. Markus, & Cathryn M. Lewis. (2014). Homogeneous case subgroups increase power in genetic association studies. European Journal of Human Genetics. 23(6). 863–869. 13 indexed citations
12.
Traylor, Matthew, Steve Bevan, Peter M. Rothwell, et al.. (2013). Using Phenotypic Heterogeneity to Increase the Power of Genome‐Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes. Genetic Epidemiology. 37(5). 495–503. 5 indexed citations
13.
Markus, Hugh S.. (2013). Wellcome Trust Genome-Wide Association Study of Ischemic Stroke. Stroke. 44(6_suppl_1). S20–2. 8 indexed citations
14.
Bevan, Steve, Matthew Traylor, Poneh Adib‐Samii, et al.. (2012). Genetic Heritability of Ischemic Stroke and the Contribution of Previously Reported Candidate Gene and Genomewide Associations. Stroke. 43(12). 3161–3167. 260 indexed citations
15.
16.
Armstrong, Christine, Sònia Abilleira, Matthias Sitzer, Hugh S. Markus, & Steve Bevan. (2007). Polymorphisms in MMP Family and TIMP Genes and Carotid Artery Intima-Media Thickness. Stroke. 38(11). 2895–2899. 49 indexed citations
17.
Markus, Hugh S., Paul Risley, Michael A. Mendall, Helmuth Steinmetz, & Matthias Sitzer. (2002). Helicobacter Pylori Infection, the Cytotoxin Gene a Strain, and Carotid Artery Intima-Media Thickness. European Journal of Cardiovascular Prevention & Rehabilitation. 9(1). 1–6. 22 indexed citations
18.
Markus, Hugh S., A F Muller, & P J Toghill. (1993). Splenic function, assessed by quantification of erythrocyte membrane pits, is normal in chronic active hepatitis and primary biliary cirrhosis. Journal of Hepatology. 18(1). 106–111. 11 indexed citations

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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