Jack Euesden

2.9k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Jack Euesden is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Jack Euesden has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Jack Euesden's work include Genetic Associations and Epidemiology (8 papers), Epigenetics and DNA Methylation (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Jack Euesden is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Epigenetics and DNA Methylation (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Jack Euesden collaborates with scholars based in United Kingdom, United States and Iceland. Jack Euesden's co-authors include Cathryn M. Lewis, Paul F. O’Reilly, Gerome Breen, Andrea Danese, Barbara Maughan, Jonathan R. I. Coleman, Evie Stergiakouli, Hannah Jones, Debbie A. Lawlor and George Davey Smith and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jack Euesden

14 papers receiving 1.3k 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.

PRSice: Polygenic Risk Score software

2014 736 citations Jack Euesden, Cathryn M. Lewis et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack Euesden United Kingdom	10	659	251	228	170	169	15	1.3k
Jonas Bybjerg‐Grauholm Denmark	21	565 0.9×	388 1.5×	215 0.9×	241 1.4×	97 0.6×	68	1.4k
Charles Curtis United Kingdom	16	325 0.5×	268 1.1×	166 0.7×	185 1.1×	142 0.8×	32	1.0k
David M. Howard United Kingdom	19	638 1.0×	506 2.0×	144 0.6×	218 1.3×	193 1.1×	51	1.7k
Chun Chieh Fan United States	18	633 1.0×	312 1.2×	246 1.1×	99 0.6×	92 0.5×	54	1.2k
Lea K. Davis United States	26	811 1.2×	603 2.4×	213 0.9×	202 1.2×	131 0.8×	105	2.1k
Timothy Shin Heng Mak Hong Kong	13	784 1.2×	375 1.5×	225 1.0×	327 1.9×	91 0.5×	22	1.7k
Wouter J. Peyrot Netherlands	13	388 0.6×	173 0.7×	116 0.5×	185 1.1×	152 0.9×	22	944
Roseann E. Peterson United States	17	546 0.8×	207 0.8×	71 0.3×	287 1.7×	162 1.0×	51	1.2k
Indrani Halder United States	20	292 0.4×	222 0.9×	89 0.4×	138 0.8×	172 1.0×	38	1.9k
Caroline Crombie United Kingdom	12	392 0.6×	446 1.8×	265 1.2×	244 1.4×	120 0.7×	12	1.7k

Countries citing papers authored by Jack Euesden

Since Specialization

Citations

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

Fields of papers citing papers by Jack Euesden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Euesden

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

All Works

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15 of 15 papers shown

Euesden, Jack, Muhammad Ali, Chloe Robins, et al.. (2025). Patient stratification by genetic risk in Alzheimer’s disease is only effective in the presence of phenotypic heterogeneity. PLoS ONE. 20(1). e0310977–e0310977.

Best, Nicky, et al.. (2021). Predicting the COVID-19 Pandemic Impact on Clinical Trial Recruitment. Statistics in Biopharmaceutical Research. 14(1). 67–79. 5 indexed citations

Euesden, Jack, et al.. (2020). Cognitive Decline in Alzheimer’s Disease: Limited Clinical Utility for GWAS or Polygenic Risk Scores in a Clinical Trial Setting. Genes. 11(5). 501–501. 4 indexed citations

Pankov, Dmitry, Ioanna Eleftheriadou, Sara Brett, et al.. (2020). 96 Decitabine gene modulation sensitizes human non–small cell lung cancer (NSCLC) to NY-ESO-1 TCR immunotherapy (letetresgene autoleucel; GSK3377794) in vivo. SHILAP Revista de lepidopterología. A60.2–A61. 1 indexed citations

Eleftheriadou, Ioanna, Sara Brett, Magdalena Kijewska, et al.. (2019). NY-ESO-1 and LAGE1A: An emerging target for cell therapies in solid tumours. Annals of Oncology. 30. v503–v503. 2 indexed citations

Taylor, Amy E., Hannah Jones, Hannah Sallis, et al.. (2018). Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children. International Journal of Epidemiology. 47(4). 1207–1216. 120 indexed citations

Mullins, Niamh, Andrés Ingason, Jack Euesden, et al.. (2017). Reproductive fitness and genetic risk of psychiatric disorders in the general population. Nature Communications. 8(1). 15833–15833. 23 indexed citations

Euesden, Jack, Faith Matcham, Matthew Hotopf, et al.. (2017). The Relationship Between Mental Health, Disease Severity, and Genetic Risk for Depression in Early Rheumatoid Arthritis. Psychosomatic Medicine. 79(6). 638–645. 42 indexed citations

Euesden, Jack, Andrea Danese, Cathryn M. Lewis, & Barbara Maughan. (2017). A bidirectional relationship between depression and the autoimmune disorders – New perspectives from the National Child Development Study. PLoS ONE. 12(3). e0173015–e0173015. 77 indexed citations

10.

Reginsson, Gunnar W., Andrés Ingason, Jack Euesden, et al.. (2017). Polygenic risk scores for schizophrenia and bipolar disorder associate with addiction. Addiction Biology. 23(1). 485–492. 75 indexed citations

11.

Kalsi, Gursharan, Jack Euesden, Jonathan R. I. Coleman, et al.. (2016). Genome-Wide Association of Heroin Dependence in Han Chinese. PLoS ONE. 11(12). e0167388–e0167388. 22 indexed citations

12.

Euesden, Jack, Gerome Breen, Anne Farmer, Peter McGuffin, & Cathryn M. Lewis. (2015). The relationship between schizophrenia and rheumatoid arthritis revisited: Genetic and epidemiological analyses. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(2). 81–88. 25 indexed citations

13.

Krapohl, Eva, Jack Euesden, Delilah Zabaneh, et al.. (2015). Phenome-wide analysis of genome-wide polygenic scores. Molecular Psychiatry. 21(9). 1188–1193. 108 indexed citations

14.

Coleman, Jonathan R. I., Jack Euesden, Hamel Patel, et al.. (2015). Quality control, imputation and analysis of genome-wide genotyping data from the Illumina HumanCoreExome microarray. Briefings in Functional Genomics. 15(4). 298–304. 55 indexed citations

15.

Euesden, Jack, Cathryn M. Lewis, & Paul F. O’Reilly. (2014). PRSice: Polygenic Risk Score software. Bioinformatics. 31(9). 1466–1468. 736 indexed citations breakdown →

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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