Colm O’Dushlaine

20.0k citations
20 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Genetic Associations and Epidemiology (11 papers)Genetic Syndromes and Imprinting (3 papers)Genomics and Rare Diseases (3 papers)

In The Last Decade

Colm O’Dushlaine

19 papers receiving 1.2k citations

Hit Papers

Computationally efficient whole-genome regression for qua...20212026202220242021100200300400500

Peers

Colm O’Dushlaine
Comparison fields: 5 of 117
  • Genetics 607
  • Molecular Biology 441
  • Psychiatry and Mental health 99
  • Epidemiology 93
  • Immunology 76
Replace Radka Kaneva with:
Radka Kaneva Bulgaria
Nicholas Mancuso United States
Valgerður Steinthórsdóttir Iceland
Stephen W. Hartley United States
Peter S. Chines United States
Sarah H. Shaw United States
Sara L. Pulit Netherlands
Bastiaan Hoogendoorn United Kingdom
Jun Ding United States
Tian Lin United States
Colm O’Dushlaine relative to Radka Kaneva Bulgaria Radka Kaneva's profile →
Citations per field
00.5×4.0×
Radka Kaneva · 1×
Citations per year

Countries citing papers authored by Colm O’Dushlaine

Since Specialization
Citations

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

Fields of papers citing papers by Colm O’Dushlaine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colm O’Dushlaine. 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 Colm O’Dushlaine. The network helps show where Colm O’Dushlaine may publish in the future.

Co-authorship network of co-authors of Colm O’Dushlaine

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 7
4 25
5 9
6
Computationally efficient whole-genome regression for quantitative and binary traitsbreakdown →
512
7 2
8 40
9 5
10 50
11 49
12 65
13 69
14 100
15 153
16 7
17 12
18 9
19 12
20 50

About Colm O’Dushlaine

Colm O’Dushlaine is a scholar working on Genetics, Biological Psychiatry and Modeling and Simulation, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Genetic Syndromes and Imprinting (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Genetics (607 citations), Biological Psychiatry (43 citations) and Endocrinology (36 citations). Colm O’Dushlaine has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Shaun Purcell, Brett Thomas, Sang Hyuck Lee, Aris Baras, Jeffrey G. Reid, Evan K. Maxwell, Lukas Habegger, Joshua Backman, Gonçalo R. Abecasis and Anthony Marcketta. Their work appears in journals such as Nature Genetics, Bioinformatics and Cell stem cell.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026