Jo Knight

28.5k total citations
106 papers, 3.3k citations indexed

About

Jo Knight is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Jo Knight has authored 106 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 33 papers in Molecular Biology and 19 papers in Physiology. Recurrent topics in Jo Knight's work include Genetic Associations and Epidemiology (34 papers), Smoking Behavior and Cessation (9 papers) and Bioinformatics and Genomic Networks (8 papers). Jo Knight is often cited by papers focused on Genetic Associations and Epidemiology (34 papers), Smoking Behavior and Cessation (9 papers) and Bioinformatics and Genomic Networks (8 papers). Jo Knight collaborates with scholars based in United Kingdom, Canada and United States. Jo Knight's co-authors include Pak C. Sham, Cathryn M. Lewis, Philip Asherson, David Curtis, Jonathan Mill, Sarah L. Spain, Sarah Curran, Eric Taylor, James L. Kennedy and Juliet N. Barker and has published in prestigious journals such as Nature Genetics, Gastroenterology and PLoS ONE.

In The Last Decade

Jo Knight

98 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jo Knight United Kingdom 33 1.0k 917 625 478 460 106 3.3k
Tim Becker Germany 32 1.3k 1.3× 1.1k 1.2× 411 0.7× 357 0.7× 286 0.6× 122 3.6k
Maria Giovanna Marrosu Italy 45 1.5k 1.5× 435 0.5× 501 0.8× 1.3k 2.8× 348 0.8× 248 6.7k
Andrea Riccardo Genazzani Italy 50 1.3k 1.3× 2.1k 2.3× 218 0.3× 603 1.3× 585 1.3× 266 8.3k
Jun Ding United States 19 1.3k 1.3× 1.1k 1.2× 167 0.3× 457 1.0× 288 0.6× 47 3.0k
George A. Werther Australia 47 1.9k 1.8× 1.6k 1.8× 192 0.3× 347 0.7× 984 2.1× 146 6.9k
Vijendra K. Singh United States 33 701 0.7× 646 0.7× 414 0.7× 332 0.7× 419 0.9× 103 3.2k
Patrick Sleiman United States 24 632 0.6× 768 0.8× 205 0.3× 332 0.7× 366 0.8× 94 2.4k
Susan A. Berry United States 42 3.0k 3.0× 1.4k 1.5× 621 1.0× 291 0.6× 1.0k 2.2× 208 6.8k
Didier Dewailly France 57 2.3k 2.3× 1.0k 1.1× 309 0.5× 666 1.4× 281 0.6× 267 14.9k
Giulio Disanto United Kingdom 35 980 1.0× 348 0.4× 393 0.6× 808 1.7× 334 0.7× 93 5.4k

Countries citing papers authored by Jo Knight

Since Specialization
Citations

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

Fields of papers citing papers by Jo Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jo Knight

This figure shows the co-authorship network connecting the top 25 collaborators of Jo Knight. A scholar is included among the top collaborators of Jo Knight 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 Jo Knight. Jo Knight 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.
2.
Chenoweth, Meghan J., Yong‐Jae Kim, Nicole L. Nollen, et al.. (2024). Genetic Prediction of Smoking Cessation Medication Side Effects: A Genome‐Wide Investigation of Abnormal Dreams on Varenicline. Clinical Pharmacology & Therapeutics. 115(6). 1277–1281.
3.
Garner, A, Simon Dixon, Nancy Preston, et al.. (2024). The impact of digital technology in care homes on unplanned secondary care usage and associated costs. Age and Ageing. 53(2). 3 indexed citations
4.
5.
Knight, Jo, et al.. (2021). Variation in waiting times by diagnostic category: an observational study of 1,951 referrals to a neurology outpatient clinic. BMJ Neurology Open. 3(1). e000133–e000133. 2 indexed citations
6.
Knight, Jo, et al.. (2021). Problematising characteristicness. International Journal of Corpus Linguistics. 26(3). 305–335. 1 indexed citations
7.
El‐Haj, Mahmoud, Matthew Coole, Ignatius Ezeani, et al.. (2020). Infrastructure for Semantic Annotation in the Genomics Domain. Language Resources and Evaluation. 6921–6929. 1 indexed citations
8.
El‐Haj, Mahmoud, Paul Rayson, Scott Piao, & Jo Knight. (2018). Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger. Language Resources and Evaluation. 3 indexed citations
9.
Winterburn, Julie L., Aristotle N. Voineskos, Gabriel A. Devenyi, et al.. (2017). Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. Schizophrenia Research. 214. 3–10. 58 indexed citations
10.
Pouget, Jennie G., Vanessa F. Gonçalves, Sarah L. Spain, et al.. (2016). Genome-Wide Association Studies Suggest Limited Immune Gene Enrichment in Schizophrenia Compared to 5 Autoimmune Diseases. Schizophrenia Bulletin. 42(5). 1176–1184. 53 indexed citations
11.
Onoufriadis, Alexandros, Michael A. Simpson, Andrew Pink, et al.. (2011). Mutations in IL36RN/IL1F5 Are Associated with the Severe Episodic Inflammatory Skin Disease Known as Generalized Pustular Psoriasis. The American Journal of Human Genetics. 89(3). 432–437. 363 indexed citations
12.
Campbell, Desmond, Pak C. Sham, Jo Knight, Harvey Wickham, & Sabine Landau. (2009). Software for generating liability distributions for pedigrees conditional on their observed disease states and covariates. Genetic Epidemiology. 34(2). 159–170. 8 indexed citations
13.
Curtis, David, et al.. (2008). Study of Regions of Extended Homozygosity Provides a Powerful Method to Explore Haplotype Structure of Human Populations. Annals of Human Genetics. 72(2). 261–278. 49 indexed citations
14.
Curtis, David, et al.. (2007). A simple approach for assessing the strength of evidence for association at the level of the whole gene. Genetic Epidemiology. 31(6). 1 indexed citations
15.
Vermeulen, Sita H., Martin den Heijer, Pak C. Sham, & Jo Knight. (2007). Application of multi‐locus analytical methods to identify interacting loci in case‐control studies. Annals of Human Genetics. 71(5). 689–700. 15 indexed citations
16.
Basu, Anupam, et al.. (2004). An association study of the CYP1A2 C-164A and T-3591G polymorphisms and response to clozapine. Schizophrenia Research. 67(1). 52–52. 1 indexed citations
17.
Knight, Jo, Xinni Xu, Keeley J. Brookes, et al.. (2003). DNA pooling identifies association of the noradrenergic transporter gene (NET1) with attention deficit hyperactivity disorder (ADHD).. The American Journal of Human Genetics. 73(5). 1 indexed citations
18.
Mill, Jonathan, Stephen J. Richards, Jo Knight, et al.. (2003). Haplotype analysis of SNAP-25 suggests a role in the aetiology of ADHD. American Journal of Medical Genetics Part A. 1 indexed citations
19.
Knight, Jo, Patricia B. Munroe, J Pembroke, et al.. (2001). No support for linkage of chromosome 17(q21-24) to Essential Hypertension in the MRC British Genetics of Hypertension (MRC BRIGHT) Study.. The American Journal of Human Genetics. 69. 559–559. 1 indexed citations
20.
Knight, Jo, et al.. (1998). Could the discontinuous and structurally weaker colonic mucus gel in ulcerative colitis be a result of free radical damage?. Gastroenterology. 114. A1010–A1011. 2 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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