Mark Daly

31.4k citations
6 papers · 12.3k · 1 hit paper · h-index 4

Impact in

  • Genetics top 0.2%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetics and Neurodevelopmental Disorders
  • Aging top 1%

Papers in

    • Genetic Associations and Epidemiology 2
    • Nutrition, Genetics, and Disease 1
    • Diabetes and associated disorders 1
    • Epigenetics and DNA Methylation 1
    • Gene Regulatory Network Analysis 1

Mark Daly

6 papers receiving 12.1k citations

Mark Daly's Hit Papers

Haploview: analysis and visualization of LD and haplotype maps 2004 · 12.0k citations
12.0k0+7+14Years since publication4.0k8.0k12.0k

Peers

Mark Daly
Comparison fields: 5 of 139
  • Genetics 3.7k
  • Aging 179
  • Immunology 1.1k
  • Cancer Research 720
  • Biological Psychiatry 109
Replace Jeffrey C. Barrett with:
Jeffrey C. Barrett United Kingdom
Yun Li United States
David W. Threadgill United States
Joseph D. Terwilliger United States
Alexandre F.R. Stewart Canada
Andrew P. Morris United Kingdom
Mark Lathrop France
Richard Saffery Australia
Andrew R. Hoffman United States
Karen A. Lillycrop United Kingdom
Mark Daly relative to Jeffrey C. Barrett United Kingdom Jeffrey C. Barrett's profile →
Citations per field
00.5×1.5×
Jeffrey C. Barrett · 1×
Citations per year

Countries citing papers authored by Mark Daly

Since Specialization
Citations

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

Fields of papers citing papers by Mark Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Haploview: analysis and visualization of LD and haplotype maps
Hit paper breakdown →
200412043
2 2003121
3 200094
4 20045
5 20243
6 20241

About Mark Daly

Mark Daly is a scholar working on Genetics, Molecular Biology, Aging, Infectious Diseases and Surgery, having authored 6 papers that have together received 12.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetic Associations and Epidemiology (2 papers), Viral Infections and Vectors (1 paper), Epigenetics and DNA Methylation (1 paper), Nutrition, Genetics, and Disease (1 paper), Diabetes and associated disorders (1 paper), Gene Regulatory Network Analysis (1 paper) and Vector-borne infectious diseases (1 paper). The work is most often cited by research in Genetics (3.7k citations), Aging (179 citations), Immunology (1.1k citations), Cancer Research (720 citations) and Biological Psychiatry (109 citations). Mark Daly has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Julian Maller, Jeffrey C. Barrett, Ben Fry, Annibale Alessandro Puca, Louis M. Kunkel, Thomas T. Perls, Stephanie Brewster, Gilles Thomas, Erica K. Benson and Bard J. Geesaman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics, European Neuropsychopharmacology, Annals of the New York Academy of Sciences and Emerging infectious diseases.

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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