Ian Rafferty

3.0k citations
7 papers · 734 · 1 hit paper · h-index 7

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic Syndromes and Imprinting
    • Genetics and Neurodevelopmental Disorders

Papers in

Ian Rafferty

7 papers receiving 715 citations

Ian Rafferty's Hit Papers

Abundant Quantitative Trait Loci Exist for DNA Methylation and Gene Expression in Human Brain 2010 · 539 citations
5390+5+10Years since publication100200300400500

Peers

Ian Rafferty
Comparison fields: 5 of 80
  • Genetics 264
  • Internal Medicine 26
  • Hematology 87
  • Molecular Biology 419
  • Neurology 32
Replace Eugènia Monrós with:
Eugènia Monrós Spain
Matthew Bower United States
Laurence E. Walsh United States
Émilie Riou Canada
Marina Ciullo Italy
José Pedro Vieira Portugal
Tena Varvil United States
Anna Krawisz United States
Hoa Le Canada
Otfried Debus Germany
Ian Rafferty relative to Eugènia Monrós Spain Eugènia Monrós's profile →
Citations per field
00.5×4.3×
Eugènia Monrós · 1×
Citations per year

Countries citing papers authored by Ian Rafferty

Since Specialization
Citations

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

Fields of papers citing papers by Ian Rafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Abundant Quantitative Trait Loci Exist for DNA Methylation and Gene Expression in Human Brain
Hit paper breakdown →
2010539
2 199993
3 200851
4 200915
5 200113
6 201012
7 200311

About Ian Rafferty

Ian Rafferty is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Hematology and Surgery, having authored 7 papers that have together received 734 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (2 papers), Genetic Neurodegenerative Diseases (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Ubiquitin and proteasome pathways (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Genetics (264 citations), Internal Medicine (26 citations), Hematology (87 citations), Molecular Biology (419 citations) and Neurology (32 citations). Ian Rafferty has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Dena Hernández, Andrew Singleton, J. Raphael Gibbs, Sampath Arepalli, Dan L. Longo, Juan C. Troncoso, Michael A. Nalls, Mark Cookson, Marcel P. van der Brug and Luigi Ferrucci. Their work appears in journals such as Movement Disorders, Blood Coagulation & Fibrinolysis, Neurogenetics, PLoS Genetics and Human Molecular 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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