David J. Porteous

78.6k total citations · 6 hit papers
443 papers, 20.1k citations indexed

About

David J. Porteous is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David J. Porteous has authored 443 papers receiving a total of 20.1k indexed citations (citations by other indexed papers that have themselves been cited), including 217 papers in Molecular Biology, 157 papers in Genetics and 60 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David J. Porteous's work include Genetic Associations and Epidemiology (76 papers), Cystic Fibrosis Research Advances (47 papers) and Phosphodiesterase function and regulation (46 papers). David J. Porteous is often cited by papers focused on Genetic Associations and Epidemiology (76 papers), Cystic Fibrosis Research Advances (47 papers) and Phosphodiesterase function and regulation (46 papers). David J. Porteous collaborates with scholars based in United Kingdom, United States and Australia. David J. Porteous's co-authors include J. Kirsty Millar, Douglas Blackwood, Kathryn L. Evans, Walter Muir, Ian J. Deary, Andrew M. McIntosh, Pippa A. Thomson, Ben Pickard, Nicholas J. Bradshaw and Archie Campbell and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David J. Porteous

432 papers receiving 19.5k citations

Hit Papers

The candidate Wilms' tumour gene is involved in genitouri... 1990 2026 2002 2014 1990 2001 1995 2005 2018 200 400 600
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. The candidate Wilms' tumour gene is involved in genitourinary development
    1990 718 citations David J. Porteous et al. profile →
  2. Schizophrenia and Affective Disorders—Cosegregation with a Translocation at Chromosome 1q42 That Directly Disrupts Brain-Expressed Genes: Clinical and P300 Findings in a Family
    2001 557 citations Douglas Blackwood, David J. Porteous et al. profile →
  3. Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis
    1995 530 citations Natasha J. Caplen, Eric W.F.W. Alton et al. profile →
  4. DISC1 and PDE4B Are Interacting Genetic Factors in Schizophrenia That Regulate cAMP Signaling
    2005 507 citations J. Kirsty Millar, Ben Pickard et al. Science profile →
  5. GWAS on family history of Alzheimer’s disease
    2018 345 citations Riccardo E. Marioni, Allan F. McRae et al. Translational Psychiatry profile →
  6. Cardiac Troponin T and Troponin I in the General Population
    2019 211 citations Caroline Hayward, Sandosh Padmanabhan et al. 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 J. Porteous United Kingdom 77 10.9k 6.0k 2.4k 1.8k 1.7k 443 20.1k
Aravinda Chakravarti United States 68 9.4k 0.9× 8.5k 1.4× 2.8k 1.2× 1.5k 0.8× 557 0.3× 297 22.1k
Kāri Stefánsson Iceland 80 6.5k 0.6× 6.1k 1.0× 821 0.3× 1.5k 0.8× 558 0.3× 246 17.8k
Nicholas J. Schork United States 94 10.9k 1.0× 10.9k 1.8× 987 0.4× 1.6k 0.9× 1.6k 1.0× 460 32.3k
Lon R. Cardon United Kingdom 74 8.9k 0.8× 13.6k 2.3× 759 0.3× 1.1k 0.6× 1.2k 0.7× 188 28.2k
Wendy K. Chung United States 72 8.6k 0.8× 7.3k 1.2× 2.7k 1.1× 1.2k 0.6× 485 0.3× 567 22.7k
Wayne W. Grody United States 45 11.9k 1.1× 12.1k 2.0× 2.8k 1.2× 1.4k 0.7× 564 0.3× 168 28.7k
Stanley F. Nelson United States 72 11.0k 1.0× 3.8k 0.6× 840 0.3× 1.4k 0.7× 1.5k 0.9× 208 18.8k
Stephen S. Rich United States 85 7.3k 0.7× 12.3k 2.1× 1.3k 0.5× 822 0.5× 1.6k 0.9× 634 32.1k
Håkon Håkonarson United States 76 12.4k 1.1× 11.6k 1.9× 2.4k 1.0× 1.1k 0.6× 1.9k 1.1× 587 34.7k
Heidi L. Rehm United States 53 13.8k 1.3× 14.5k 2.4× 1.9k 0.8× 1.5k 0.8× 587 0.4× 186 31.4k

Countries citing papers authored by David J. Porteous

Since Specialization
Citations

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

Fields of papers citing papers by David J. Porteous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Porteous

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Porteous. A scholar is included among the top collaborators of David J. Porteous 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 J. Porteous. David J. Porteous 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.
Valo, Erkka, Anne Richmond, Stefan Mutter, et al.. (2025). Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function. Nature Communications. 16(1). 325–325. 1 indexed citations
2.
Strawbridge, Rona J., Zosia Miedzybrodzka, Riccardo E. Marioni, et al.. (2024). Methods applied to neonatal dried blood spot samples for secondary research purposes: a scoping review. Critical Reviews in Clinical Laboratory Sciences. 61(8). 685–708.
3.
Shen, Xueyi, Claire Green, Robert F. Hillary, et al.. (2023). Structural brain correlates of childhood trauma with replication across two large, independent community-based samples. European Psychiatry. 66(1). e19–e19. 9 indexed citations
4.
Hillary, Robert F., Daniel L. McCartney, Allan F. McRae, et al.. (2022). Identification of influential probe types in epigenetic predictions of human traits: implications for microarray design. Clinical Epigenetics. 14(1). 100–100. 4 indexed citations
5.
Shen, Xueyi, Aleks Stolicyn, Laura de Nooij, et al.. (2021). Spectral clustering based on structural magnetic resonance imaging and its relationship with major depressive disorder and cognitive ability. European Journal of Neuroscience. 54(6). 6281–6303. 5 indexed citations
6.
Barbu, Miruna C., Mathew A. Harris, Xueyi Shen, et al.. (2021). Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study. Epigenetics. 17(10). 1143–1158. 3 indexed citations
7.
Amador, Carmen, Yanni Zeng, M. Barber, et al.. (2021). Genome-wide methylation data improves dissection of the effect of smoking on body mass index. PLoS Genetics. 17(9). e1009750–e1009750. 5 indexed citations
8.
Barbu, Miruna C., Archie Campbell, Carmen Amador, et al.. (2021). Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system. Molecular Psychiatry. 27(3). 1647–1657. 10 indexed citations
9.
Docherty, Anna R., Andrey A. Shabalin, Daniel E. Adkins, et al.. (2020). Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland. Schizophrenia Bulletin. 46(5). 1045–1052. 13 indexed citations
10.
McCartney, Daniel L., Rosie M. Walker, Robert F. Hillary, et al.. (2020). Birth weight associations with DNA methylation differences in an adult population. Epigenetics. 16(7). 783–796. 16 indexed citations
11.
Howard, David M., Lasse Folkersen, Jonathan R. I. Coleman, et al.. (2020). Genetic stratification of depression in UK Biobank. Translational Psychiatry. 10(1). 163–163. 17 indexed citations
12.
Hill, W. David, Ruben C. Arslan, Charley Xia, et al.. (2018). Genomic analysis of family data reveals additional genetic effects on intelligence and personality. Molecular Psychiatry. 23(12). 2347–2362. 71 indexed citations
13.
Zhang, Enjie, Gavin S. Wilkie, Nicolás M. Suárez, et al.. (2017). Inherited Chromosomally Integrated Human Herpesvirus 6 Genomes Are Ancient, Intact, and Potentially Able To Reactivate from Telomeres. Journal of Virology. 91(22). 29 indexed citations
14.
Amador, Carmen, Charley Xia, Réka Nagy, et al.. (2017). Regional variation in health is predominantly driven by lifestyle rather than genetics. Nature Communications. 8(1). 801–801. 12 indexed citations
15.
Porteous, David J.. (2015). Low-balance bank accounts — Part 1: Is there a pathway towards profitability?. Journal of payments strategy & systems. 9(3). 305–305. 3 indexed citations
16.
Alton, Eric W.F.W., Steve Cunningham, Jane C. Davies, et al.. (2010). LONGITUDINAL ASSESSMENT OF BIOMARKERS FOR CLINICAL TRIALS OF NOVEL THERAPEUTIC AGENTS; THE RUN-IN STUDY. Pediatric Pulmonology. 298–298.
17.
18.
Richardson, Jennifer, Pia R. Lundegaard, Natalie L. Reynolds, et al.. (2008). mc1r Pathway Regulation of Zebrafish Melanosome Dispersion. Zebrafish. 5(4). 289–295. 45 indexed citations
19.
Millar, J. Kirsty, Ben Pickard, Shaun Mackie, et al.. (2005). DISC1 and PDE4B Are Interacting Genetic Factors in Schizophrenia That Regulate cAMP Signaling. Science. 310(5751). 1187–1191. 507 indexed citations breakdown →
20.
Griesenbach, Uta, Chris Kitson, Hazel Painter, et al.. (2004). LacZ siRNA and antisense DNA decrease beta-galactosidase mRNA but not protein expression in the airways of K18-lacZ transgenic mice. The Journal of Gene Medicine. 6(9). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Aravinda Chakravarti Breakdown of academic impact, for papers by Kāri Stefánsson Breakdown of academic impact, for papers by Nicholas J. Schork Breakdown of academic impact, for papers by Lon R. Cardon Breakdown of academic impact, for papers by Wendy K. Chung Breakdown of academic impact, for papers by Wayne W. Grody Breakdown of academic impact, for papers by Stanley F. Nelson Breakdown of academic impact, for papers by Stephen S. Rich Breakdown of academic impact, for papers by Håkon Håkonarson Breakdown of academic impact, for papers by Heidi L. Rehm
Rankless by CCL
2026