Mark Daly

20.8k citations
6 papers · 646 · h-index 4

Impact in

  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic Associations and Epidemiology
    • Genetic diversity and population structure
    • Asthma and respiratory diseases
    • Adipose Tissue and Metabolism

Papers in

    • IL-33, ST2, and ILC Pathways 2
    • Reproductive System and Pregnancy 1
    • T-cell and B-cell Immunology 1
    • Genomics and Chromatin Dynamics 1

Mark Daly

6 papers receiving 633 citations

Peers

Mark Daly
Comparison fields: 5 of 74
  • Genetics 297
  • Physiology 146
  • Developmental Biology 10
  • Immunology 77
  • Molecular Biology 256
Replace James Farris with:
James Farris United States
Rhonda E. Schnur United States
Takehito Tsuji Japan
J. Peters United Kingdom
Marianna R. Bevova Netherlands
Theodore F. Thurmon United States
Philipp G. Maass United States
Chiara Di Bella Italy
Jennifer A. Kennell United States
Janet E. Champion United Kingdom
Mark Daly relative to James Farris United States James Farris's profile →
Citations per field
00.5×3.7×
James Farris · 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 1995394
2 199794
3 199886
4 199768
5 20243
6 20251

About Mark Daly

Mark Daly is a scholar working on Immunology, Molecular Biology, Surgery, Genetics and Developmental Biology, having authored 6 papers that have together received 646 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (2 papers), Genomics and Chromatin Dynamics (1 paper), Eosinophilic Disorders and Syndromes (1 paper), Eosinophilic Esophagitis (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Reproductive System and Pregnancy (1 paper), Asthma and respiratory diseases (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Genetics (297 citations), Physiology (146 citations), Developmental Biology (10 citations), Immunology (77 citations) and Molecular Biology (256 citations). Mark Daly has collaborated with scholars based in United States, Finland and Sweden. Frequent co-authors include Eric S. Lander, Victor J. Dzau, Eric S. Winer, Vladimı́r Křen, George Koike, Theodore W. Kurtz, Göran Levan, Josiane Szpirer, Howard J. Jacob and Claude Szpirer. Their work appears in journals such as Genes and Immunity, Nature Genetics, Human Molecular Genetics, Nature and Nature Reviews 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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