Stephen Newhouse

22.8k total citations
57 papers, 2.5k citations indexed

About

Stephen Newhouse is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Stephen Newhouse has authored 57 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Genetics and 15 papers in Physiology. Recurrent topics in Stephen Newhouse's work include Alzheimer's disease research and treatments (15 papers), Genetic Associations and Epidemiology (13 papers) and Bioinformatics and Genomic Networks (7 papers). Stephen Newhouse is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Genetic Associations and Epidemiology (13 papers) and Bioinformatics and Genomic Networks (7 papers). Stephen Newhouse collaborates with scholars based in United Kingdom, United States and Italy. Stephen Newhouse's co-authors include Richard Dobson, Hamel Patel, Angela Hodges, Simon Lovestone, Magda Tsolaki, Bruno Vellas, Patrizia Mecocci, Iwona Kłoszewska, Charles Curtis and Gerome Breen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Stephen Newhouse

57 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Newhouse United Kingdom 29 955 676 435 376 302 57 2.5k
Marie‐Cécile Nassogne Belgium 32 974 1.0× 299 0.4× 388 0.9× 349 0.9× 165 0.5× 103 3.1k
Karen A. Mather Australia 31 940 1.0× 1.0k 1.5× 330 0.8× 885 2.4× 133 0.4× 96 3.4k
Jennifer M. Kwon United States 29 1.2k 1.2× 718 1.1× 634 1.5× 280 0.7× 65 0.2× 77 3.4k
Laura Korhonen Sweden 41 2.3k 2.4× 719 1.1× 348 0.8× 148 0.4× 146 0.5× 110 5.0k
Ulrich Finckh Germany 30 1.4k 1.5× 852 1.3× 324 0.7× 269 0.7× 70 0.2× 66 3.0k
Naoto Adachi Japan 36 796 0.8× 434 0.6× 260 0.6× 1.2k 3.3× 170 0.6× 191 4.1k
Andrea Gropman United States 38 2.8k 2.9× 735 1.1× 1.5k 3.4× 320 0.9× 270 0.9× 200 5.1k
Tim Becker Germany 32 1.3k 1.4× 286 0.4× 1.1k 2.5× 411 1.1× 115 0.4× 122 3.6k
Pierangelo Veggiotti Italy 39 996 1.0× 1.2k 1.7× 915 2.1× 2.0k 5.3× 284 0.9× 182 4.7k
Mauricio Arcos‐Burgos Colombia 36 777 0.8× 636 0.9× 811 1.9× 1.5k 4.0× 93 0.3× 144 3.8k

Countries citing papers authored by Stephen Newhouse

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Newhouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Newhouse

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Newhouse. A scholar is included among the top collaborators of Stephen Newhouse 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 Stephen Newhouse. Stephen Newhouse 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.
Gotkine, Marc, Martina de Majo, Chun Hao Wong, et al.. (2021). A recessive S174X mutation in Optineurin causes amyotrophic lateral sclerosis through a loss of function via allele-specific nonsense-mediated decay. Neurobiology of Aging. 106. 1–6. 5 indexed citations
2.
Lee, Hyun-Ah, Alish Palmos, Sang Hyuck Lee, et al.. (2021). The effects of genotype on inflammatory response in hippocampal progenitor cells: A computational approach. Brain Behavior & Immunity - Health. 15. 100286–100286. 2 indexed citations
3.
Patel, Hamel, Angela Hodges, Charles Curtis, et al.. (2019). Transcriptomic analysis of probable asymptomatic and symptomatic alzheimer brains. Brain Behavior and Immunity. 80. 644–656. 81 indexed citations
4.
Traylor, Matthew, Rachel Knevel, Jing Cui, et al.. (2019). Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases. PLoS ONE. 14(10). e0223246–e0223246. 12 indexed citations
5.
Iacoangeli, Alfredo, Ahmad Al Khleifat, William Sproviero, et al.. (2019). DNAscan: personal computer compatible NGS analysis, annotation and visualisation. BMC Bioinformatics. 20(1). 213–213. 14 indexed citations
6.
Iacoangeli, Alfredo, Ahmad Al Khleifat, Ashley Jones, et al.. (2019). C9orf72 intermediate expansions of 24–30 repeats are associated with ALS. Acta Neuropathologica Communications. 7(1). 115–115. 68 indexed citations
7.
Santoro, Marcos, Vanessa Ota, Simone de Jong, et al.. (2018). Polygenic risk score analyses of symptoms and treatment response in an antipsychotic-naive first episode of psychosis cohort. Translational Psychiatry. 8(1). 174–174. 40 indexed citations
8.
Carbajosa, Guillermo, Karim Malki, Nathan Lawless, et al.. (2018). Loss of Trem2 in microglia leads to widespread disruption of cell coexpression networks in mouse brain. Neurobiology of Aging. 69. 151–166. 27 indexed citations
9.
Krapohl, Eva, Hamel Patel, Stephen Newhouse, et al.. (2017). Multi-polygenic score approach to trait prediction. Molecular Psychiatry. 23(5). 1368–1374. 117 indexed citations
10.
Khan, Wasim, Carlos Aguilar, Steven J. Kiddle, et al.. (2015). A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer’s Disease. PLoS ONE. 10(8). e0134368–e0134368. 26 indexed citations
11.
Khondoker, Mizanur, Stephen Newhouse, Eric Westman, et al.. (2015). Linking Genetics of Brain Changes to Alzheimer's Disease: Sparse Whole Genome Association Scan of Regional MRI Volumes in the ADNI and AddNeuroMed Cohorts. Journal of Alzheimer s Disease. 45(3). 851–864. 12 indexed citations
12.
Voyle, Nicola, Aoife Keohane, Stephen Newhouse, et al.. (2015). A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer’s Disease Diagnosis. Journal of Alzheimer s Disease. 49(3). 659–669. 45 indexed citations
13.
Gross, Alden L., Richard Sherva, Shubhabrata Mukherjee, et al.. (2014). Calibrating Longitudinal Cognition in Alzheimer's Disease Across Diverse Test Batteries and Datasets. Neuroepidemiology. 43(3-4). 194–205. 43 indexed citations
14.
Proitsi, Petroula, Michelle K. Lupton, Latha Velayudhan, et al.. (2014). Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease: A Mendelian Randomization Analysis. PLoS Medicine. 11(9). e1001713–e1001713. 66 indexed citations
15.
Sattlecker, Martina, Steven J. Kiddle, Stephen Newhouse, et al.. (2014). Alzheimer's disease biomarker discovery using SOMAscan multiplexed protein technology. Alzheimer s & Dementia. 10(6). 724–734. 144 indexed citations
16.
Kiddle, Steven J., Martina Sattlecker, Petroula Proitsi, et al.. (2013). Candidate Blood Proteome Markers of Alzheimer's Disease Onset and Progression: A Systematic Review and Replication Study. Journal of Alzheimer s Disease. 38(3). 515–531. 134 indexed citations
17.
Kiddle, Steven J., Madhav Thambisetty, Andrew Simmons, et al.. (2012). Plasma Based Markers of [11C] PiB-PET Brain Amyloid Burden. PLoS ONE. 7(9). e44260–e44260. 68 indexed citations
18.
Wallace, Chris, Mingzhan Xue, Stephen Newhouse, et al.. (2006). Linkage Analysis Using Co-Phenotypes in the BRIGHT Study Reveals Novel Potential Susceptibility Loci for Hypertension. The American Journal of Human Genetics. 79(2). 323–331. 21 indexed citations
19.
Munroe, Patricia B., Chris Wallace, Charles A. Mein, et al.. (2005). Enhanced support for linkage to chromosome 5q13.1 and hypertension in the British Genetics of Hypertension (BRIGHT) study.. Hypertension. 46(4). 892–892. 1 indexed citations
20.
Newhouse, Stephen, Chris Wallace, Richard Dobson, et al.. (2005). Haplotypes of the WNK1 gene associate with blood pressure variation in a severely hypertensive population from the British Genetics of Hypertension study. Human Molecular Genetics. 14(13). 1805–1814. 69 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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