David M. Howard

10.3k total citations
51 papers, 1.7k citations indexed

About

David M. Howard is a scholar working on Genetics, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, David M. Howard has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 14 papers in Molecular Biology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in David M. Howard's work include Genetic Associations and Epidemiology (24 papers), Epigenetics and DNA Methylation (13 papers) and Cognitive Abilities and Testing (8 papers). David M. Howard is often cited by papers focused on Genetic Associations and Epidemiology (24 papers), Epigenetics and DNA Methylation (13 papers) and Cognitive Abilities and Testing (8 papers). David M. Howard collaborates with scholars based in United Kingdom, United States and Australia. David M. Howard's co-authors include Andrew M. McIntosh, Ian J. Deary, Mark J. Adams, Toni‐Kim Clarke, Gail Davies, David J. Porteous, Archie Campbell, Caroline Hayward, Alison D. Murray and Riccardo E. Marioni and has published in prestigious journals such as Nature Genetics, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

David M. Howard

50 papers receiving 1.6k citations

Peers

Countries citing papers authored by David M. Howard

Since Specialization

Citations

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

Fields of papers citing papers by David M. Howard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Howard

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Common and rare variant associations with latent traits underlying depression, bipolar disorder, and schizophrenia 2023 ·Translational Psychiatry ·(unknown), Pak C. Sham, Bradley Jermy, Jonathan R. I. Coleman, David M. Howard, Cathryn M. Lewis	1
2	A sex-specific genome-wide association study of depression phenotypes in UK Biobank 2023 ·Molecular Psychiatry ·Patrícia Pelufo Silveira, Irina Pokhvisneva, David M. Howard, Michael J. Meaney	32
3	Effects of depression on employment and social outcomes: a Mendelian randomisation study 2022 ·Journal of Epidemiology & Community Health ·Desmond Campbell, Michael J. Green, Neil M Davies, Evangelia Demou, Laura D Howe, Sean Harrison, Daniel J. Smıth, David M. Howard, Andrew M. McIntosh, Marcus R. Munafò, Srinivasa Vittal Katikireddi	33
4	Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene–environment correlation 2022 ·Journal of Child Psychology and Psychiatry ·Sandra Machlitt‐Northen, Robert Keers, Patricia B. Munroe, David M. Howard, Vassily Trubetskoy, Michael Pluess	7
5	Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system 2021 ·Molecular Psychiatry ·Miruna C. Barbu, (unknown), Archie Campbell, Carmen Amador, Mark J. Adams, Mary-Ellen Lynall, David M. Howard, Rosie M. Walker, Stewart W. Morris, Jenny van Dongen, David J. Porteous, Kathryn L. Evans, Edward T. Bullmore, Gonneke Willemsen, Dorret I. Boomsma, Heather C. Whalley, Andrew M. McIntosh	10
6	Epigenome-wide association study of alcohol consumption in N = 8161 individuals and relevance to alcohol use disorder pathophysiology: identification of the cystine/glutamate transporter SLC7A11 as a top target 2021 ·Molecular Psychiatry ·Falk W. Lohoff, Toni‐Kim Clarke, Zachary Kaminsky, Rosie M. Walker, Mairead L. Bermingham, Jeesun Jung, Stewart W. Morris, Daniel B. Rosoff, Archie Campbell, Miruna C. Barbu, Katrin Charlet, Mark J. Adams, Jisoo Lee, David M. Howard, (unknown), Heather C. Whalley, David J. Porteous, Andrew M. McIntosh, Kathryn L. Evans	25
7	The effects of polygenic risk for psychiatric disorders and smoking behaviour on psychotic experiences in UK Biobank 2020 ·Translational Psychiatry ·Judit García‐González, Julia Ramírez, David M. Howard, (unknown), Patricia B. Munroe, Robert Keers	9
8	Genetic stratification of depression in UK Biobank 2020 ·Translational Psychiatry ·David M. Howard, Lasse Folkersen, Jonathan R. I. Coleman, Mark J. Adams, Kylie P. Glanville, Thomas Werge, Saskia P. Hagenaars, Buhm Han, David J. Porteous, Archie Campbell, Toni-Kim Clarke, Gerome Breen, Patrick F. Sullivan, Naomi R. Wray, Cathryn M. Lewis, Andrew M. McIntosh	17
9	A meta-analysis of genome-wide association studies of epigenetic age acceleration 2019 ·PLoS Genetics ·Jude Gibson, Tom C. Russ, Toni‐Kim Clarke, David M. Howard, Robert F. Hillary, Kathryn L. Evans, Rosie M. Walker, Mairead L. Bermingham, Stewart W. Morris, Archie Campbell, Caroline Hayward, Alison D. Murray, David J. Porteous, Steve Horvath, Ake T. Lu, Andrew M. McIntosh, Heather C. Whalley, Riccardo E. Marioni	74
10	Impact of Polygenic Risk for Schizophrenia on Cortical Structure in UK Biobank 2019 ·Biological Psychiatry ·Emma Neilson, Xueyi Shen, Simon R. Cox, Toni‐Kim Clarke, Eleanor M. Wigmore, Jude Gibson, David M. Howard, Mark J. Adams, (unknown), Gail Davies, Ian J. Deary, Heather C. Whalley, Andrew M. McIntosh, Stephen M. Lawrie	44
11	Genetic and shared couple environmental contributions to smoking and alcohol use in the UK population 2019 ·Molecular Psychiatry ·Toni‐Kim Clarke, Mark J. Adams, David M. Howard, Charley Xia, Gail Davies, Caroline Hayward, Archie Campbell, Sandosh Padmanabhan, Blair H. Smith, Alison D. Murray, David J. Porteous, Ian J. Deary, Andrew M. McIntosh	11
12	Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts 2018 ·American Journal of Psychiatry ·Sandra Sanchez‐Roige, Abraham A. Palmer, Pierre Fontanillas, Sarah L. Elson, Mark J. Adams, David M. Howard, Howard J. Edenberg, Gail Davies, Richard C. Crist, Ian J. Deary, Andrew M. McIntosh, Toni‐Kim Clarke	226
13	Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank 2018 ·Translational Psychiatry ·Lynsey S. Hall, Mark J. Adams, Aleix Arnau‐Soler, Toni‐Kim Clarke, David M. Howard, Yanni Zeng, Gail Davies, Saskia P. Hagenaars, Ana Maria Fernandez-Pujals, Jude Gibson, Eleanor M. Wigmore, Thibaud Boutin, Caroline Hayward, Generation Scotland, David J. Porteous, Ian J. Deary, Pippa A. Thomson, Chris Haley, Andrew M. McIntosh	53
14	Selective advantage of implementing optimal contributions selection and timescales for the convergence of long-term genetic contributions 2018 ·Genetics Selection Evolution ·David M. Howard, Ricardo Pong‐Wong, P. W. Knap, (unknown), John Woolliams	9
15	Assessing the presence of shared genetic architecture between Alzheimer’s disease and major depressive disorder using genome-wide association data 2017 ·Translational Psychiatry ·Jude Gibson, Tom C. Russ, Mark J. Adams, Toni‐Kim Clarke, David M. Howard, Lynsey S. Hall, Ana Maria Fernandez-Pujals, Eleanor M. Wigmore, C Hayward, Gail Davies, Alison D. Murray, Blair H. Smith, David J. Porteous, Ian J. Deary, Andrew M. McIntosh	31
16	Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766) 2017 ·Translational Psychiatry ·Eleanor M. Wigmore, Toni‐Kim Clarke, David M. Howard, Mark J. Adams, Lynsey S. Hall, Yanni Zeng, Jude Gibson, Gail Davies, Ana Maria Fernandez-Pujals, Pippa A. Thomson, Caroline Hayward, Blair H. Smith, Lynne J. Hocking, Sandosh Padmanabhan, Ian J. Deary, David J. Porteous, Kristin K. Nicodemus, Andrew M. McIntosh	17
17	Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117) 2017 ·Molecular Psychiatry ·Toni‐Kim Clarke, Mark J. Adams, Gail Davies, David M. Howard, Lynsey S. Hall, Sandosh Padmanabhan, Alison D. Murray, Blair H. Smith, Archie Campbell, Caroline Hayward, David J. Porteous, Ian J. Deary, Andrew M. McIntosh	253
18	Effect of adolescent substance use and antisocial behavior on the development of early adulthood depression 2016 ·Psychiatry Research ·(unknown), Matthew J. Worley, Ryan S. Trim, David M. Howard, Sandra A. Brown, Christian J. Hopfer, John K. Hewitt, Tamara L. Wall	6
19	The structural impact of implementing Optimal Contribution selection in a commercial pig breeding population 2014 ·Proceedings of the World Congress on Genetics Applied to Livestock Production ·David M. Howard, Ricardo Pong‐Wong, P. W. Knap, (unknown), John Woolliams	2
20	Building effective systems to manage inbreeding in pedigree dog breeds 2014 ·Proceedings of the World Congress on Genetics Applied to Livestock Production ·(unknown), Sarah Blott, David M. Howard, John Woolliams	2

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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