David Curtis

54.6k total citations · 2 hit papers
250 papers, 7.3k citations indexed

About

David Curtis is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, David Curtis has authored 250 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Genetics, 83 papers in Molecular Biology and 28 papers in Psychiatry and Mental health. Recurrent topics in David Curtis's work include Genetic Associations and Epidemiology (98 papers), Genetics and Neurodevelopmental Disorders (43 papers) and Genomics and Rare Diseases (42 papers). David Curtis is often cited by papers focused on Genetic Associations and Epidemiology (98 papers), Genetics and Neurodevelopmental Disorders (43 papers) and Genomics and Rare Diseases (42 papers). David Curtis collaborates with scholars based in United Kingdom, United States and Iceland. David Curtis's co-authors include Pak C. Sham, Andrew McQuillin, Jing Hua Zhao, Hugh Gurling, Hugh Gurling, Hannes Pétursson, Gursharan Kalsi, Robin Sherrington, Bernard V. North and Nicholas Bass and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Curtis

240 papers receiving 7.0k citations

Hit Papers

Monte Carlo tests for associations between disease and al... 1995 2026 2005 2015 1995 1995 250 500 750
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.

  1. Monte Carlo tests for associations between disease and alleles at highly polymorphic loci
    1995 802 citations David Curtis et al. Annals of Human Genetics profile →
  2. An extended transmission/disequilibrium test (TDT) for multi‐allele marker loci
    1995 501 citations David Curtis et al. Annals of Human Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Curtis United Kingdom 41 3.3k 2.6k 1.1k 996 567 250 7.3k
Mara Helena Hutz Brazil 43 2.2k 0.7× 1.3k 0.5× 1.7k 1.5× 930 0.9× 989 1.7× 273 7.4k
Stacey S. Cherny Hong Kong 45 5.3k 1.6× 3.3k 1.2× 714 0.6× 673 0.7× 677 1.2× 164 11.2k
Yin Yao Shugart United States 47 2.2k 0.7× 2.8k 1.1× 459 0.4× 817 0.8× 704 1.2× 153 6.8k
Artūras Petronis Canada 43 2.6k 0.8× 4.1k 1.6× 775 0.7× 1.2k 1.2× 522 0.9× 105 7.3k
Bertram Müller‐Myhsok Germany 50 1.7k 0.5× 2.0k 0.8× 770 0.7× 1.0k 1.0× 848 1.5× 197 8.7k
Piero Pavone Italy 41 1.7k 0.5× 1.6k 0.6× 1.3k 1.1× 666 0.7× 723 1.3× 466 7.0k
A.J. Pakstis United States 49 3.5k 1.1× 2.8k 1.1× 627 0.6× 986 1.0× 652 1.1× 145 7.6k
Hreinn Stefánsson Iceland 39 2.9k 0.9× 2.7k 1.0× 677 0.6× 976 1.0× 998 1.8× 98 7.5k
Nigel Williams United Kingdom 49 2.9k 0.9× 2.9k 1.1× 1.5k 1.3× 1.4k 1.4× 1.2k 2.2× 246 8.3k
Joseph D. Terwilliger United States 51 5.5k 1.7× 3.7k 1.4× 642 0.6× 505 0.5× 539 1.0× 114 10.7k

Countries citing papers authored by David Curtis

Since Specialization
Citations

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

Fields of papers citing papers by David Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of David Curtis. A scholar is included among the top collaborators of David Curtis 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 David Curtis. David Curtis 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
1.
Liu, Zhenzhen & David Curtis. (2025). Analysis of Rare Coding Variants in 470,000 UK Biobank Participants Reveals Genetic Associations With Childhood Asthma Predisposition. International Journal of Immunogenetics. 52(3). 155–161.
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Curtis, David, et al.. (2024). Dural Venous Sinus Thrombosis: A Rare Cause of Intracranial Hemorrhage. Cureus. 16(11). e73693–e73693.
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Curtis, David. (2022). Clinical features of UK Biobank subjects carrying protein-truncating variants in genes implicated in schizophrenia pathogenesis. Psychiatric Genetics. 32(4). 156–161. 1 indexed citations
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Curtis, David. (2021). Analysis of 200 000 exome-sequenced UK Biobank subjects illustrates the contribution of rare genetic variants to hyperlipidaemia. Journal of Medical Genetics. 59(6). 597–604. 10 indexed citations
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Curtis, David. (2017). Construction of an Exome‐Wide Risk Score for Schizophrenia Based on a Weighted Burden Test. Annals of Human Genetics. 82(1). 11–22. 8 indexed citations
13.
Fiorentino, Alessia, Sally I. Sharp, Niamh L. O’Brien, et al.. (2017). Exome sequence analysis and follow up genotyping implicates rare ULK1 variants to be involved in susceptibility to schizophrenia. Annals of Human Genetics. 82(2). 88–92. 16 indexed citations
14.
Leonenko, Ganna, Alexander Richards, James Walters, et al.. (2017). Mutation intolerant genes and targets of FMRP are enriched for nonsynonymous alleles in schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(7). 724–731. 16 indexed citations
15.
Kandaswamy, Radhika, Andrew McQuillin, David Curtis, & Hugh Gurling. (2014). Allelic association, DNA resequencing and copy number variation at the metabotropic glutamate receptor GRM7 gene locus in bipolar disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 165(4). 365–372. 32 indexed citations
16.
Curtis, David, et al.. (2007). A simple approach for assessing the strength of evidence for association at the level of the whole gene. Genetic Epidemiology. 31(6). 1 indexed citations
17.
Gurling, Hugh, David Curtis, G. Kalsi, et al.. (2000). Genome wide linkage anlaysis supports the presence of two separate susceptibility loci on chromosome 1q32 for biopolar disorder and 1q21-22.3 for schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 96(4). 1 indexed citations
18.
Bateman, J. Bronwyn, Rita M. Cantor, Camilla Heinzmann, et al.. (1993). 2×0．30ST钢丝帘线的开发. PubMed Central. 30(7). 299–434. 3 indexed citations
19.
Curtis, David, et al.. (1992). Medium chain acyl-CoA dehydrogenase deficiency in the United Kingdom.. PubMed. 375. 489–94. 3 indexed citations
20.
Curtis, David, et al.. (1991). Linkage analysis in a large pedigree multiply affected with Gilles de la Tourette syndrome. UCL Discovery (University College London). 1 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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