Mark Daly

31.2k total citations · 1 hit paper
6 papers, 12.1k citations indexed

About

Mark Daly is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Mark Daly has authored 6 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Aging. Recurrent topics in Mark Daly's work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetic Associations and Epidemiology (2 papers) and Bioinformatics and Genomic Networks (2 papers). Mark Daly is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetic Associations and Epidemiology (2 papers) and Bioinformatics and Genomic Networks (2 papers). Mark Daly collaborates with scholars based in United States, Israel and Italy. Mark Daly's co-authors include Ben Fry, Jeffrey C. Barrett, Julian Maller, Stephanie Brewster, Thomas T. Perls, Annibale Alessandro Puca, Louis M. Kunkel, Hélène Blanché, Gilles Thomas and Bard J. Geesaman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Annals of the New York Academy of Sciences.

In The Last Decade

Mark Daly

5 papers receiving 12.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Haploview: analysis and visualization of LD and haplotype maps

2004 11.9k citations Jeffrey C. Barrett, Ben Fry et al. Bioinformatics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mark Daly	4.7k	4.0k	1.5k	1.2k	1.1k	6	12.1k
Yun Li	5.0k 1.1×	6.9k 1.7×	967 0.6×	1.4k 1.1×	848 0.8×	286	14.2k
David W. Threadgill	3.2k 0.7×	5.8k 1.4×	1.2k 0.8×	916 0.7×	830 0.8×	254	12.4k
Peter Nürnberg	4.9k 1.0×	9.0k 2.2×	1.5k 1.0×	936 0.8×	1.6k 1.5×	407	17.7k
Andrew P. Morris	4.8k 1.0×	4.3k 1.1×	1.0k 0.7×	896 0.7×	673 0.6×	229	11.4k
Kristin Ardlie	4.1k 0.9×	4.4k 1.1×	1.5k 1.0×	610 0.5×	417 0.4×	71	9.7k
Mark Lathrop	3.7k 0.8×	5.8k 1.4×	1.9k 1.3×	3.2k 2.6×	671 0.6×	207	14.0k
Joseph H. Nadeau	5.9k 1.3×	7.3k 1.8×	1.0k 0.7×	940 0.8×	506 0.5×	244	13.1k
G.M. Lathrop	7.1k 1.5×	6.7k 1.7×	1.9k 1.3×	1.9k 1.5×	824 0.8×	235	16.2k
Joseph D. Terwilliger	5.5k 1.2×	3.7k 0.9×	1.1k 0.7×	826 0.7×	573 0.5×	114	10.7k
Jeffrey C. Barrett	8.5k 1.8×	6.2k 1.5×	2.7k 1.8×	1.6k 1.3×	1.7k 1.6×	53	18.4k

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-authorship network of co-authors of Mark Daly

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Daly. A scholar is included among the top collaborators of Mark Daly 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 Mark Daly. Mark Daly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

Chan, Xin Hui S, David Richards, Mark Daly, et al.. (2024). Autochthonous Human Babesia divergens Infection, England. Emerging infectious diseases. 30(10). 2165–2168. 1 indexed citations

Zhou, Wei, Anna Cuomo, Angli Xue, et al.. (2024). W28. EFFICIENT AND ACCURATE MIXED MODEL ASSOCIATION TOOL FOR SINGLE-CELL EQTL ANALYSIS. European Neuropsychopharmacology. 87. 115–116.

Barrett, Jeffrey C., Ben Fry, Julian Maller, & Mark Daly. (2004). Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 21(2). 263–265. 11932 indexed citations breakdown →

Eller, E. R., Pnina Vardi, Mark Daly, et al.. (2004). IDDM17: Polymorphisms in the AMACO Gene Are Associated with Dominant Protection against Type 1A Diabetes in a Bedouin Arab Family. Annals of the New York Academy of Sciences. 1037(1). 145–149. 5 indexed citations

Geesaman, Bard J., Erica K. Benson, Stephanie Brewster, et al.. (2003). Haplotype-based identification of a microsomal transfer protein marker associated with the human lifespan. Proceedings of the National Academy of Sciences. 100(24). 14115–14120. 110 indexed citations

Perls, Thomas T., Erin Joyce, Mark Daly, et al.. (2000). Exceptional Familial Clustering for Extreme Longevity in Humans. Journal of the American Geriatrics Society. 48(11). 1483–1485. 90 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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