Luke Jostins

38.9k total citations · 1 hit paper
20 papers, 1.3k citations indexed

About

Luke Jostins is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Luke Jostins has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Luke Jostins's work include Genetic Associations and Epidemiology (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Luke Jostins is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Luke Jostins collaborates with scholars based in United Kingdom, United States and Australia. Luke Jostins's co-authors include Jeffrey C. Barrett, Peter Humburg, Vivek Naranbhai, Robert Andrews, Seiko Makino, Evelyn Lau, Benjamin P. Fairfax, Katharine Plant, Julian C. Knight and Daniel Wong and has published in prestigious journals such as Science, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Luke Jostins

19 papers receiving 1.3k citations

Hit Papers

Innate Immune Activity Conditions the Effect of Regulator... 2014 2026 2018 2022 2014 100 200 300 400
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. Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression
    2014 475 citations Benjamin P. Fairfax, Peter Humburg et al. Science profile →

Peers

Luke Jostins
Seiko Makino United Kingdom
Show‐Li Chen Taiwan
Jörg Lauber Germany
L. Hashimoto United Kingdom
Hans‐Gerd Pauels Germany
Harm-Jan Westra Netherlands
Rivkah Gonsky United States
Gosia Trynka United Kingdom
Kazuyoshi Ishigaki Japan
Barry Healy United Kingdom
Seiko Makino United Kingdom
Luke Jostins
Citations per year, relative to Luke Jostins Luke Jostins (= 1×) peers Seiko Makino

Countries citing papers authored by Luke Jostins

Since Specialization
Citations

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

Fields of papers citing papers by Luke Jostins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Jostins

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Jostins. A scholar is included among the top collaborators of Luke Jostins 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 Luke Jostins. Luke Jostins 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.
Williams, Richard, et al.. (2020). Comparison of LABORAS with static incapacitance testing for assessing spontaneous pain behaviour in surgically-induced murine osteoarthritis. SHILAP Revista de lepidopterología. 2(4). 100101–100101. 4 indexed citations
2.
Glinos, Dafni A., Blagoje Soskic, Cayman Williams, et al.. (2020). Genomic profiling of T-cell activation suggests increased sensitivity of memory T cells to CD28 costimulation. Genes and Immunity. 21(6-8). 390–408. 24 indexed citations
3.
El-Turabi, Aadil, Luke Jostins, Jennifer Alderson, et al.. (2019). Active immunisation targeting nerve growth factor attenuates chronic pain behaviour in murine osteoarthritis. Annals of the Rheumatic Diseases. 78(5). 672–675. 47 indexed citations
4.
Trochet, Holly, Matti Pirinen, Gavin Band, et al.. (2019). Bayesian meta‐analysis across genome‐wide association studies of diverse phenotypes. Genetic Epidemiology. 43(5). 532–547. 17 indexed citations
5.
Jostins, Luke, et al.. (2018). Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables. Journal of the American Statistical Association. 114(526). 723–734. 6 indexed citations
6.
Cortés, Adrián, Calliope A. Dendrou, Allan Motyer, et al.. (2017). Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank. Nature Genetics. 49(9). 1311–1318. 41 indexed citations
7.
Caulfield, Mark J., Jim Davies, Tom Fowler, et al.. (2017). The 100,000 Genomes Project Protocol. Figshare. 32 indexed citations
8.
Lee, James, Daniele Biasci, Rebecca Roberts, et al.. (2017). Genome-wide association study identifies distinct genetic contributions to prognosis and susceptibility in Crohn's disease. Nature Genetics. 49(2). 262–268. 172 indexed citations
9.
Levine, Adam P., Nikolas Pontikos, Elena Schiff, et al.. (2016). Genetic Complexity of Crohn’s Disease in Two Large Ashkenazi Jewish Families. Gastroenterology. 151(4). 698–709. 42 indexed citations
10.
Jostins, Luke & Gilean McVean. (2016). Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes. Bioinformatics. 32(12). 1898–1900. 14 indexed citations
11.
Fairfax, Benjamin P., Peter Humburg, Seiko Makino, et al.. (2014). Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression. Science. 343(6175). 1246949–1246949. 475 indexed citations breakdown →
12.
Jostins, Luke, Adam P. Levine, & Jeffrey C. Barrett. (2013). Using Genetic Prediction from Known Complex Disease Loci to Guide the Design of Next-Generation Sequencing Experiments. PLoS ONE. 8(10). e76328–e76328. 11 indexed citations
13.
Sewell, Gavin W., Farooq Rahman, Adam P. Levine, et al.. (2012). Defective tumor necrosis factor release from Crohnʼs disease macrophages in response to toll-like receptor activation: Relationship to phenotype and genome-wide association susceptibility loci. Inflammatory Bowel Diseases. 18(11). 2120–2127. 24 indexed citations
14.
Liu, Jimmy Z., Mohamed A. Almarri, Daniel J. Gaffney, et al.. (2012). Dense fine-mapping study identifies new susceptibility loci for primary biliary cirrhosis. Nature Genetics. 44(10). 1137–1141. 180 indexed citations
15.
Jostins, Luke. (2012). Dispatches from the functional phase of genome biology. Genome biology. 13(6). 316–316.
16.
Jostins, Luke, Katherine I. Morley, & Jeffrey C. Barrett. (2011). Imputation of low-frequency variants using the HapMap3 benefits from large, diverse reference sets. European Journal of Human Genetics. 19(6). 662–666. 35 indexed citations
17.
Jostins, Luke & Jeffrey C. Barrett. (2011). Genetic risk prediction in complex disease. Human Molecular Genetics. 20(R2). R182–R188. 122 indexed citations
18.
Ayub, Qasim, Luke Jostins, Yali Xue, Daniel J. Turner, & Chris Tyler‐Smith. (2010). Next-generation sequencing and the era of personal Y genomes. Genome Biology. 11(Suppl 1). O2–O2. 1 indexed citations
19.
Jostins, Luke & Johannes Jaeger. (2010). Reverse engineering a gene network using an asynchronous parallel evolution strategy. BMC Systems Biology. 4(1). 17–17. 26 indexed citations
20.
Krawitz, Peter, Christian Rödelsperger, Marten Jäger, et al.. (2010). Microindel detection in short-read sequence data. Bioinformatics. 26(6). 722–729. 73 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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