Daniel P. Howrigan

32.2k total citations
18 papers, 1.1k citations indexed

About

Daniel P. Howrigan is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Daniel P. Howrigan has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Daniel P. Howrigan's work include Genetic Associations and Epidemiology (8 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Rare Diseases (5 papers). Daniel P. Howrigan is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Rare Diseases (5 papers). Daniel P. Howrigan collaborates with scholars based in United States, Australia and United Kingdom. Daniel P. Howrigan's co-authors include Matthew C. Keller, Matthew A. Simonson, Kevin MacDonald, Benjamin M. Neale, Patrick F. Sullivan, Elise Robinson, Mark J. Daly, Konrad J. Karczewski, Jack A. Kosmicki and Bernie Devlin and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Neuroscience.

In The Last Decade

Daniel P. Howrigan

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Howrigan United States 11 659 298 146 121 88 18 1.1k
Sven Bocklandt United States 13 393 0.6× 862 2.9× 113 0.8× 59 0.5× 195 2.2× 16 1.5k
Elizabeth A. Heron Ireland 15 415 0.6× 373 1.3× 63 0.4× 158 1.3× 60 0.7× 51 1.0k
Vanessa Van Doren United States 8 562 0.9× 634 2.1× 43 0.3× 181 1.5× 84 1.0× 15 1.9k
Emma L. Meaburn United Kingdom 24 1.1k 1.6× 862 2.9× 266 1.8× 318 2.6× 84 1.0× 46 2.0k
Xiaohong Gong China 17 311 0.5× 348 1.2× 143 1.0× 299 2.5× 355 4.0× 41 1.1k
Ditte Demontis Denmark 22 444 0.7× 238 0.8× 56 0.4× 223 1.8× 33 0.4× 70 1.3k
Christopher W. Bartlett United States 21 577 0.9× 276 0.9× 145 1.0× 476 3.9× 83 0.9× 58 1.4k
Thomas Tang Canada 6 578 0.9× 897 3.0× 31 0.2× 101 0.8× 43 0.5× 6 1.2k
Taku Miyagawa Japan 22 272 0.4× 370 1.2× 386 2.6× 429 3.5× 154 1.8× 45 1.3k
K. Kidd United States 12 309 0.5× 356 1.2× 60 0.4× 140 1.2× 50 0.6× 16 972

Countries citing papers authored by Daniel P. Howrigan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Howrigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Howrigan. 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 Daniel P. Howrigan. The network helps show where Daniel P. Howrigan may publish in the future.

Co-authorship network of co-authors of Daniel P. Howrigan

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

All Works

18 of 18 papers shown
1.
Sealock, Julia, Calwing Liao, Siwei Chen, et al.. (2025). Tutorial: guidelines for quality filtering of whole-exome and whole-genome sequencing data for population-scale association analyses. Nature Protocols. 20(9). 2372–2382.
2.
Carey, Caitlin E., Rebecca Shafee, Robbee Wedow, et al.. (2024). Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation. Nature Human Behaviour. 8(8). 1599–1615. 8 indexed citations
3.
Howrigan, Daniel P., Matthew DeFelice, Jonna Grimsby, et al.. (2022). REPLACING GWAS ARRAYS: CAPTURING GENOMIC DIVERSITY WITH A NOVEL WHOLE-EXOME PLUS LOW-PASS WHOLE GENOME PRODUCT. European Neuropsychopharmacology. 63. e25–e26. 1 indexed citations
4.
Gupta, Rahul, Konrad J. Karczewski, Daniel P. Howrigan, Benjamin M. Neale, & Vamsi K. Mootha. (2021). Human genetic analyses of organelles highlight the nucleus in age-related trait heritability. eLife. 10. 9 indexed citations
5.
Palmer, Duncan S., Daniel P. Howrigan, Rolf Adolfsson, et al.. (2021). EXOME SEQUENCING IN BIPOLAR DISORDER REVEALS SHARED RISK GENE AKAP11 WITH SCHIZOPHRENIA. European Neuropsychopharmacology. 51. e24–e24. 10 indexed citations
6.
Taylor, Jacob, Jean-Christophe Debost, Sarah U. Morton, et al.. (2019). Paternal-age-related de novo mutations and risk for five disorders. Nature Communications. 10(1). 3043–3043. 61 indexed citations
7.
Regier, Allison, Yossi Farjoun, David E. Larson, et al.. (2018). Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects. Nature Communications. 9(1). 4038–4038. 73 indexed citations
8.
Babadi, Mehrtash, Samuel K. Lee, Andrey N. Smirnov, et al.. (2018). Abstract 2287: Precise common and rare germline CNV calling with GATK. Cancer Research. 78(13_Supplement). 2287–2287. 9 indexed citations
9.
Bergen, Sarah E., Alexander Ploner, Daniel P. Howrigan, et al.. (2018). Joint Contributions of Rare Copy Number Variants and Common SNPs to Risk for Schizophrenia. American Journal of Psychiatry. 176(1). 29–35. 87 indexed citations
10.
Kosmicki, Jack A., Kaitlin E. Samocha, Daniel P. Howrigan, et al.. (2017). Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples. Nature Genetics. 49(4). 504–510. 183 indexed citations
11.
Li, Jing, Hui Yang, Daniel P. Howrigan, et al.. (2017). Spatiotemporal profile of postsynaptic interactomes integrates components of complex brain disorders. Nature Neuroscience. 20(8). 1150–1161. 81 indexed citations
12.
Derringer, Jaime, Robin P. Corley, Brett C. Haberstick, et al.. (2015). Genome-Wide Association Study of Behavioral Disinhibition in a Selected Adolescent Sample. Behavior Genetics. 45(4). 375–381. 30 indexed citations
13.
Figueredo, Aurelio José, Pedro S. A. Wolf, Sally Olderbak, et al.. (2014). The psychometric assessment of human life history strategy: A meta-analytic construct validation.. Evolutionary Behavioral Sciences. 8(3). 148–185. 99 indexed citations
14.
Keller, Matthew C., Matthew A. Simonson, Stephan Ripke, et al.. (2012). Runs of Homozygosity Implicate Autozygosity as a Schizophrenia Risk Factor. PLoS Genetics. 8(4). e1002656–e1002656. 83 indexed citations
15.
Howrigan, Daniel P., Matthew A. Simonson, & Matthew C. Keller. (2011). Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms. BMC Genomics. 12(1). 460–460. 259 indexed citations
16.
Howrigan, Daniel P., N. M. Laird, Jordan W. Smoller, Bernie Devlin, & Matthew B. McQueen. (2011). Using linkage information to weight a genome‐wide association of bipolar disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 156(4). 462–471. 6 indexed citations
17.
Howrigan, Daniel P., Matthew A. Simonson, Helen M. Kamens, et al.. (2011). Mutational load analysis of unrelated individuals. BMC Proceedings. 5(S9). S55–S55. 4 indexed citations
18.
Howrigan, Daniel P. & Kevin MacDonald. (2008). Humor as a Mental Fitness Indicator. Evolutionary Psychology. 6(4). 64 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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