Chris Wallace

41.5k total citations · 4 hit papers
107 papers, 7.0k citations indexed

About

Chris Wallace is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Chris Wallace has authored 107 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Genetics, 30 papers in Molecular Biology and 15 papers in Immunology. Recurrent topics in Chris Wallace's work include Genetic Associations and Epidemiology (42 papers), Diabetes and associated disorders (22 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Chris Wallace is often cited by papers focused on Genetic Associations and Epidemiology (42 papers), Diabetes and associated disorders (22 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Chris Wallace collaborates with scholars based in United Kingdom, United States and Portugal. Chris Wallace's co-authors include Vincent Plagnol, Claudia Giambartolomei, Eric E. Schadt, Aroon D. Hingorani, Lude Franke, Damjan Vukcevic, John A. Todd, Deborah J. Smyth, Neil Walker and Jean Morrison and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Chris Wallace

104 papers receiving 6.9k citations

Hit Papers

align trajectories

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.

Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics

2014 1.8k citations Chris Wallace et al. profile →
Mendelian randomization

2022 952 citations Chris Wallace et al. profile →
Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches

2022 245 citations Nastasiya F. Grinberg, Chris Wallace et al. The American Journal of Human Genetics profile →
A more accurate method for colocalisation analysis allowing for multiple causal variants

2021 185 citations Chris Wallace profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Wallace United Kingdom	35	3.1k	2.3k	1.0k	1.0k	702	107	7.0k
Eleftheria Zeggini United Kingdom	47	3.8k 1.2×	2.9k 1.2×	748 0.7×	962 0.9×	716 1.0×	192	7.7k
James Yarmolinsky United Kingdom	17	3.2k 1.0×	1.8k 0.8×	598 0.6×	824 0.8×	642 0.9×	30	7.1k
Ron Do United States	27	3.8k 1.2×	2.5k 1.1×	613 0.6×	932 0.9×	576 0.8×	90	8.1k
Cristen J. Willer United States	31	4.3k 1.4×	2.9k 1.2×	1.1k 1.0×	727 0.7×	565 0.8×	82	9.0k
Chia‐Yen Chen United States	34	3.6k 1.2×	2.5k 1.1×	702 0.7×	758 0.7×	530 0.8×	95	9.3k
Struan F.A. Grant United States	49	4.3k 1.4×	3.6k 1.5×	563 0.5×	1.4k 1.4×	1.2k 1.7×	207	9.2k
Fabiola Del Greco M Italy	25	3.2k 1.0×	1.6k 0.7×	521 0.5×	695 0.7×	636 0.9×	38	6.7k
Hashem A. Shihab United Kingdom	15	3.5k 1.1×	3.0k 1.3×	484 0.5×	548 0.5×	416 0.6×	23	7.2k
Josée Dupuis United States	44	2.6k 0.8×	2.0k 0.9×	398 0.4×	831 0.8×	1.0k 1.4×	199	6.9k
Cecilia M. Lindgren United Kingdom	49	3.1k 1.0×	3.9k 1.7×	807 0.8×	1.3k 1.2×	844 1.2×	159	8.9k

Countries citing papers authored by Chris Wallace

Since Specialization

Citations

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

Fields of papers citing papers by Chris Wallace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Wallace

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ray-Jones, Helen, Changmin Sung, Frances Burden, et al.. (2025). Genetic coupling of enhancer activity and connectivity in gene expression control. Nature Communications. 16(1). 970–970. 1 indexed citations

Lin, Wei‐Yu, Kathryn O’Brien, Elizabeth Ralph, et al.. (2025). Identification and validation of interferon-driven gene signature as a predictor of response to methotrexate in juvenile idiopathic arthritis. Annals of the Rheumatic Diseases. 84(8). 1412–1424. 2 indexed citations

Lin, Wei‐Yu, Bethany R. Jebson, Restuadi Restuadi, et al.. (2025). Penalised regression improves imputation of cell-type specific expression using RNA-seq data from mixed cell populations compared to domain-specific methods. PLoS Computational Biology. 21(3). e1012859–e1012859.

Gordon, Morris, Chris Wallace, Vassiliki Sinopoulou, & Anthony K Akobeng. (2023). Probiotics for management of functional abdominal pain disorders in children. Cochrane Database of Systematic Reviews. 2023(2). CD012849–CD012849. 18 indexed citations

Vigorito, Elena, Anne Barton, Costantino Pitzalis, Myles Lewis, & Chris Wallace. (2023). BBmix: a Bayesian beta-binomial mixture model for accurate genotyping from RNA-sequencing. Bioinformatics. 39(7). 1 indexed citations

Dopico, Xaquín Castro, Sandra Muschiol, Nastasiya F. Grinberg, et al.. (2022). Probabilistic classification of anti‐SARS‐CoV‐2 antibody responses improves seroprevalence estimates. Clinical & Translational Immunology. 11(3). e1379–e1379. 3 indexed citations

Kirk, Paul, et al.. (2022). Consensus clustering for Bayesian mixture models. BMC Bioinformatics. 23(1). 290–290. 18 indexed citations

Vigorito, Elena, et al.. (2021). RápidoPGS: a rapid polygenic score calculator for summary GWAS data without a test dataset. Bioinformatics. 37(23). 4444–4450. 2 indexed citations

Wallace, Chris, et al.. (2021). Comparison of sparse biclustering algorithms for gene expression datasets. Briefings in Bioinformatics. 22(6). 10 indexed citations

10.

Ruffieux, Hélène, Benjamin P. Fairfax, Isar Nassiri, et al.. (2021). EPISPOT: An epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies. The American Journal of Human Genetics. 108(6). 983–1000. 7 indexed citations

11.

Bourges, Christophe, Abigail F. Groff, Oliver S. Burren, et al.. (2020). Resolving mechanisms of immune‐mediated disease in primary CD 4 T cells. EMBO Molecular Medicine. 12(5). e12112–e12112. 29 indexed citations

12.

Grinberg, Nastasiya F., et al.. (2020). Functional effects of variation in transcription factor binding highlight long-range gene regulation by epromoters. Nucleic Acids Research. 48(6). 2866–2879. 13 indexed citations

13.

Fortune, Mary D & Chris Wallace. (2018). simGWAS: a fast method for simulation of large scale case–control GWAS summary statistics. Bioinformatics. 35(11). 1901–1906. 14 indexed citations

14.

Martin, Paul, Amanda McGovern, Gisela Orozco, et al.. (2015). Capture Hi-C reveals novel candidate genes and complex long-range interactions with related autoimmune risk loci. Nature Communications. 6(1). 10069–10069. 118 indexed citations

15.

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

16.

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

17.

Padmanabhan, Sandosh, Chris Wallace, Patricia B. Munroe, et al.. (2005). Chromosome 2p shows genome wide significant linkage to of anti-hypertensive medication response in the British genetics of hypertension (BRIGHT) study.. Hypertension. 46(5). 886–886. 3 indexed citations

18.

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

19.

Wallace, Chris & David Clayton. (2005). Appropriate Use of Information on Family History of Disease in Recruitment for Linkage Analysis Studies. Annals of Human Genetics. 70(3). 360–371. 2 indexed citations

20.

Hickman, Matthew, Peter W. Madden, John A. Henry, et al.. (2003). Trends in drug overdose deaths in England and Wales 1993–98: methadone does not kill more people than heroin. Addiction. 98(4). 419–425. 61 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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