Mark Daly
Impact in
Papers in
-
- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Genetics 4
- Genetic Associations and Epidemiology 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Ben Fry (1 shared paper)Jeffrey C. Barrett (1 shared paper)Julian Maller (1 shared paper)Thomas T. Perls (2 shared papers)Stephanie Brewster (2 shared papers)Louis M. Kunkel (2 shared papers)Annibale Alessandro Puca (2 shared papers)Hélène Blanché (1 shared paper)
- Journals
- Annals of the New York Academy of Sciences (1 paper)European Neuropsychopharmacology (1 paper)Journal of the American Geriatrics Society (1 paper)Emerging infectious diseases (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Mark Daly
5 papers receiving 12.0k citations
Mark Daly's Hit Papers
Peers
Comparison fields: 5 of 147
- Genetics 4.7k
- Aging 184
- Immunology 1.5k
- Biological Psychiatry 163
- Cancer Research 948
Countries citing papers authored by Mark Daly
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Haploview: analysis and visualization of LD and haplotype maps Hit paper breakdown → | 2004 | 11932 |
| 2 | 2003 | 110 | |
| 3 | 2000 | 90 | |
| 4 | 2004 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 |
About Mark Daly
Mark Daly is a scholar working on Molecular Biology, Genetics, Aging, Infectious Diseases and Surgery, having authored 6 papers that have together received 12.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Genetic Associations and Epidemiology (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Pancreatic function and diabetes (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Epigenetics and DNA Methylation (1 paper), Vector-Borne Animal Diseases (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Genetics (4.7k citations), Aging (184 citations), Immunology (1.5k citations), Biological Psychiatry (163 citations) and Cancer Research (948 citations). Mark Daly has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Ben Fry, Jeffrey C. Barrett, Julian Maller, Thomas T. Perls, Stephanie Brewster, Louis M. Kunkel, Annibale Alessandro Puca, Hélène Blanché, Erica K. Benson and Gilles Thomas. Their work appears in journals such as Annals of the New York Academy of Sciences, European Neuropsychopharmacology, Journal of the American Geriatrics Society, Emerging infectious diseases and Proceedings of the National Academy of Sciences.
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.