Chris C. A. Spencer

26.9k citations

26 papers · 2.3k indexed · 1 hit paper · h-index 20

Genetics top 1%
- Genetic Associations and Epidemiology 15
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic and phenotypic traits in livestock 4
- Genomics and Rare Diseases 3
- Evolution and Genetic Dynamics 3
Molecular Biology top 10%
- DNA Repair Mechanisms 2
- Bioinformatics and Genomic Networks 2
Endocrinology top 10%
Microbiology top 10%
Molecular Medicine top 10%
Epidemiology
- Liver Disease Diagnosis and Treatment 2

Co-authors: Peter Donnelly Jonathan Marchini Zhan Su Matti Pirinen Gil McVean Aki S. Havulinna Samuli Ripatti Christian Benner
Cited by: Genetics Molecular Biology Endocrinology
Partner nations: United Kingdom United States Finland

In The Last Decade

Chris C. A. Spencer

26 papers receiving 2.3k citations

Hit Papers

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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.

2016 FINEMAP: efficient variable selection using summary data from genome-wide association studies

Peers

Countries citing papers authored by Chris C. A. Spencer

Since Specialization

Citations

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

Fields of papers citing papers by Chris C. A. Spencer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris C. A. Spencer. 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 Chris C. A. Spencer. The network helps show where Chris C. A. Spencer may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chris C. A. Spencer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris C. A. Spencer Line = papers co-authored together Chris C. A. Spencer links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction Fernando Riveros-Mckay,Michael E. Weale,Rachel Moore,Saskia Selzam,Eva Krapohl,R. Michael Sivley,William A. Tarran,Peter Sørensen,Alexander S. Lachapelle,Jonathan A. Griffiths,Ayden Saffari,John Deanfield,Chris C. A. Spencer,Julia Hippisley–Cox,David J. Hunter,Jack W. O’Sullivan,Euan A. Ashley,Vincent Plagnol,Peter Donnelly	2021	96
2	Bayesian model comparison for rare-variant association studies Guhan Venkataraman,Christopher DeBoever,Yosuke Tanigawa,Matthew Aguirre,Alexander Ioannidis,Hakhamanesh Mostafavi,Chris C. A. Spencer,Timothy Poterba,Carlos D. Bustamante,Mark J. Daly,Matti Pirinen,Manuel A. Rivas	2021	5
3	Impact of IFNL4 Genetic Variants on Sustained Virologic Response and Viremia in Hepatitis C Virus Genotype 3 Patients Vincent Pedergnana,William L. Irving,Eleanor Barnes,John McLauchlan,Chris C. A. Spencer	2019	5
4	Bayesian meta‐analysis across genome‐wide association studies of diverse phenotypes Holly Trochet,Matti Pirinen,Gavin Band,Luke Jostins,Gil McVean,Chris C. A. Spencer	2019	17
5	Impact of Interferon Lambda 4 Genotype on Interferon‐Stimulated Gene Expression During Direct‐Acting Antiviral Therapy for Hepatitis C Narayan Ramamurthy,Emanuele Marchi,M. Azim Ansari,Vincent Pedergnana,Angela R. McLean,Emma Hudson,Rory Bowden,Chris C. A. Spencer,Eleanor Barnes,Paul Klenerman	2018	14
6	Genetic analysis in UK Biobank links insulin resistance and transendothelial migration pathways to coronary artery disease Derek Klarin,Qiuyu Zhu,Connor A. Emdin,Mark Chaffin,Steven Horner,Brian J. McMillan,Alison Leed,Michael E. Weale,Chris C. A. Spencer,François Aguet,Ayellet V. Segrè,Kristin Ardlie,Amit V. Khera,Virendar K. Kaushik,Pradeep Natarajan,Sekar Kathiresan	2017	150
7	FINEMAP: efficient variable selection using summary data from genome-wide association studiesbreakdown → Christian Benner,Chris C. A. Spencer,Aki S. Havulinna,Veikko Salomaa,Samuli Ripatti,Matti Pirinen	2016	350
8	Ancient alleles and complex structural variation of pathogen receptors at the glycophorin locus Ellen M. Leffler,Kirk A. Rockett,Si Quang Le,Dominic Kwiatkowski,Chris C. A. Spencer	2016	1
9	Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis Kaixin Zhou,Louise A. Donnelly,Jian Yang,Miaoxin Li,Harshal Deshmukh,Natalie Van Zuydam,Emma Ahlqvist,Chris C. A. Spencer,Leif Groop,Andrew D. Morris,Helen M. Colhoun,Pak C. Sham,Mark I. McCarthy,(unknown),Ewan R. Pearson	2014	83
10	Including known covariates can reduce power to detect genetic effects in case-control studies Matti Pirinen,Peter Donnelly,Chris C. A. Spencer	2012	63
11	Pneumococcal genome sequencing tracks a vaccine escape variant formed through a multi-fragment recombination event Tanya Golubchik,Angela B. Brueggemann,Teresa Street,Robert E. Gertz,Chris C. A. Spencer,Thiện Hồ,Eleni Giannoulatou,Ruth Link‐Gelles,Rosalind M. Harding,Bernard Beall,Tim Peto,Matthew R. Moore,Peter Donnelly,Derrick W. Crook,Rory Bowden	2012	90
12	A robust clustering algorithm for identifying problematic samples in genome-wide association studies Céline Bellenguez,Amy Strange,Colin Freeman,Peter Donnelly,Chris C. A. Spencer	2011	31
13	Recombination and Population Structure in Salmonella enterica Xavier Didelot,Rory Bowden,Teresa Street,Tanya Golubchik,Chris C. A. Spencer,Gil McVean,Vartul Sangal,Muna F. Anjum,Mark Achtman,Daniel Falush,Peter Donnelly	2011	115
14	Quantifying the Underestimation of Relative Risks from Genome-Wide Association Studies Chris C. A. Spencer,Eliana Hechter,Damjan Vukcevic,Peter Donnelly	2011	22
15	Disease model distortion in association studies Damjan Vukcevic,Eliana Hechter,Chris C. A. Spencer,Peter Donnelly	2011	24
16	Designing Genome-Wide Association Studies: Sample Size, Power, Imputation, and the Choice of Genotyping Chip Chris C. A. Spencer,Zhan Su,Peter Donnelly,Jonathan Marchini	2009	424
17	Scanning the human genome for signals of selection Gil McVean,Chris C. A. Spencer	2006	23
18	The Influence of Recombination on Human Genetic Diversity Chris C. A. Spencer,Panos Deloukas,Sarah Hunt,Jim Mullikin,Simon Myers,Bernard W. Silverman,Peter Donnelly,David Bentley,Gil McVean	2006	199
19	Human polymorphism around recombination hotspots Chris C. A. Spencer	2006	24
20	Screening for Recently Selected Alleles by Analysis of Human Haplotype Similarity Neil A. Hanchard,Kirk A. Rockett,Chris C. A. Spencer,Graham Coop,Margaret Pinder,Muminatou Jallow,Martin Kimber,Gil McVean,Richard Mott,Dominic Kwiatkowski	2005	43

About Chris C. A. Spencer

Chris C. A. Spencer is a scholar working on Genetics, Hepatology and Endocrinology, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (4 papers), Genomics and Rare Diseases (3 papers), Evolution and Genetic Dynamics (3 papers), DNA Repair Mechanisms (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (989 citations) and Endocrinology (62 citations). Chris C. A. Spencer has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Peter Donnelly, Jonathan Marchini, Zhan Su, Matti Pirinen, Gil McVean, Aki S. Havulinna, Samuli Ripatti, Christian Benner, Veikko Salomaa and Graham Coop.

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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