Allan Daly

5.5k citations
10 papers · 517 · h-index 9

Impact in

  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases
    • PI3K/AKT/mTOR signaling in cancer
    • Metabolism, Diabetes, and Cancer

Papers in

    • Machine Learning in Bioinformatics 1
    • Metabolism, Diabetes, and Cancer 1
    • Genetic Associations and Epidemiology 2
    • Genetic Mapping and Diversity in Plants and Animals 1

Allan Daly

10 papers receiving 510 citations

Peers

Allan Daly
Comparison fields: 5 of 77
  • Genetics 179
  • Molecular Biology 275
  • Biochemistry 23
  • Cell Biology 51
  • Pharmacology 27
Replace Annegret Nath with:
Annegret Nath Germany
Chandrashekara Kyathanahalli United States
Alberto Ochoa France
Sheri T. Dorsam United States
Gertrud Schäfer Germany
Ivo Galli Japan
Helle Peegel United States
Wendy Ankener United States
Emilia M. Ortiz France
Arata Shimada Japan
Allan Daly relative to Annegret Nath Germany Annegret Nath's profile →
Citations per field
00.5×2.9×
Annegret Nath · 1×
Citations per year

Countries citing papers authored by Allan Daly

Since Specialization
Citations

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

Fields of papers citing papers by Allan Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2006125
2 2008117
3 2011114
4 200840
5 200936
6 200932
7 200721
8 199617
9 20119
10 20086

About Allan Daly

Allan Daly is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Surgery and Social Psychology, having authored 10 papers that have together received 517 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Genetic factors in colorectal cancer (2 papers), Pancreatic function and diabetes (1 paper), Machine Learning in Bioinformatics (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Chromosomal and Genetic Variations (1 paper), Plant Disease Resistance and Genetics (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (179 citations), Molecular Biology (275 citations), Biochemistry (23 citations), Cell Biology (51 citations) and Pharmacology (27 citations). Allan Daly has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Chris Tyler‐Smith, Yali Xue, Inês Barroso, Stephen O’Rahilly, Robert K. Semple, Ni Huang, Bryndís Yngvadóttir, Xue Zhou, Tatiana Zerjal and Nigel P. Carter. Their work appears in journals such as The American Journal of Human Genetics, Diabetes, Science, Genetics and Diabetologia.

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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