Andrew Harrison

1.4k total citations
45 papers, 982 citations indexed

About

Andrew Harrison is a scholar working on Molecular Biology, Astronomy and Astrophysics and Genetics. According to data from OpenAlex, Andrew Harrison has authored 45 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 4 papers in Astronomy and Astrophysics and 4 papers in Genetics. Recurrent topics in Andrew Harrison's work include Gene expression and cancer classification (15 papers), RNA and protein synthesis mechanisms (14 papers) and Genomics and Chromatin Dynamics (13 papers). Andrew Harrison is often cited by papers focused on Gene expression and cancer classification (15 papers), RNA and protein synthesis mechanisms (14 papers) and Genomics and Chromatin Dynamics (13 papers). Andrew Harrison collaborates with scholars based in United Kingdom, China and United States. Andrew Harrison's co-authors include Christine Orengo, Frances M. G. Pearl, Janet M. Thornton, William B. Langdon, Maria A. Stalteri, Richard Mott, Graham Upton, A. P. G. Russell, Ming Chen and Ian Sillitoe and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Andrew Harrison

44 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Harrison United Kingdom 18 712 140 80 78 69 45 982
Jerry Ma United States 6 1.3k 1.8× 125 0.9× 34 0.4× 120 1.5× 22 0.3× 7 1.7k
Sanne Abeln Netherlands 19 738 1.0× 171 1.2× 10 0.1× 28 0.4× 30 0.4× 61 1.1k
Xingwu Chen China 20 201 0.3× 87 0.6× 23 0.3× 18 0.2× 43 0.6× 108 1.2k
Shiwei Sun China 18 837 1.2× 46 0.3× 25 0.3× 23 0.3× 48 0.7× 82 1.1k
Stefano Trapani Italy 16 299 0.4× 76 0.5× 14 0.2× 14 0.2× 57 0.8× 57 767
Jonathan R. Karr United States 14 1.4k 1.9× 31 0.2× 19 0.2× 25 0.3× 51 0.7× 33 1.6k
Derek N. Macklin United States 7 1.1k 1.6× 24 0.2× 17 0.2× 81 1.0× 51 0.7× 8 1.5k
Eric de Silva United Kingdom 10 681 1.0× 32 0.2× 37 0.5× 39 0.5× 9 0.1× 16 1.0k
Dietrich Flockerzi Germany 16 338 0.5× 51 0.4× 16 0.2× 16 0.2× 14 0.2× 52 941
Mihály Váradi United Kingdom 16 706 1.0× 200 1.4× 118 1.5× 14 0.2× 30 0.4× 38 947

Countries citing papers authored by Andrew Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Harrison

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Harrison. A scholar is included among the top collaborators of Andrew Harrison 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 Andrew Harrison. Andrew Harrison 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.
Harrison, Andrew, et al.. (2022). ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data. Bioinformatics. 38(14). 3523–3531. 4 indexed citations
2.
Harrison, Andrew, et al.. (2022). Pinching arc plasmas by high-frequency alternating longitudinal magnetic field. Physics of Plasmas. 29(7). 10 indexed citations
3.
Crevel, Gilles, et al.. (2022). The role of insulators and transcription in 3D chromatin organization of flies. Genome Research. 32(4). 682–698. 17 indexed citations
4.
Harrison, Andrew, et al.. (2021). A general principle for spontaneous genetic symmetry breaking and pattern formation within cell populations. Journal of Theoretical Biology. 526. 110809–110809. 1 indexed citations
5.
Cannataro, Mario & Andrew Harrison. (2021). Bioinformatics helping to mitigate the impact of COVID-19 – Editorial. Briefings in Bioinformatics. 22(2). 613–615. 12 indexed citations
6.
Li, Kuan, Chaoqun Xu, Jian Huang, et al.. (2016). Prediction and identification of the effectors of heterotrimeric G proteins in rice (Oryza sativaL.). Briefings in Bioinformatics. 18(2). bbw021–bbw021. 9 indexed citations
7.
Yuan, Chunhui, Jingjing Wang, Andrew Harrison, et al.. (2015). Genome-wide view of natural antisense transcripts in Arabidopsis thaliana. DNA Research. 22(3). 233–243. 33 indexed citations
8.
Corpas, Manuel, Nazareth Torres, Bastian Greshake Tzovaras, et al.. (2015). Crowdsourced direct-to-consumer genomic analysis of a family quartet. BMC Genomics. 16(1). 910–910. 11 indexed citations
9.
Mahmoud, Osama, Andrew Harrison, Aris Perperoglou, et al.. (2014). A feature selection method for classification within functional genomics experiments based on the proportional overlapping score. BMC Bioinformatics. 15(1). 274–274. 32 indexed citations
10.
Shanahan, Hugh, et al.. (2014). Bioinformatics on the Cloud Computing Platform Azure. PLoS ONE. 9(7). e102642–e102642. 21 indexed citations
11.
Chen, Dijun, Liang-Yu Fu, Zhao Zhang, et al.. (2013). Dissecting the chromatin interactome of microRNA genes. Nucleic Acids Research. 42(5). 3028–3043. 26 indexed citations
12.
Stalteri, Maria A., et al.. (2010). Using surveys of Affymetrix GeneChips to study antisense expression. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 7(2). 27–48. 1 indexed citations
13.
Upton, Graham, et al.. (2010). A Comparative Study of the Impact of G‐Stack Probes on Various Affymetrix GeneChips of Mammalia. Journal of Nucleic Acids. 2010(1). 19 indexed citations
14.
Upton, Graham, et al.. (2010). Identifying the impact of G-Quadruplexes on Affymetrix 3′ Arrays using Cloud Computing. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 7(2). 12–20. 9 indexed citations
15.
Harrison, Andrew, et al.. (2008). The use of Affymetrix GeneChips as a tool for studying alternative forms of RNA. Biochemical Society Transactions. 36(3). 511–513. 3 indexed citations
16.
Upton, Graham, William B. Langdon, & Andrew Harrison. (2008). G-spots cause incorrect expression measurement in Affymetrix microarrays. BMC Genomics. 9(1). 613–613. 34 indexed citations
17.
Stalteri, Maria A. & Andrew Harrison. (2007). Interpretation of multiple probe sets mapping to the same gene in Affymetrix GeneChips. BMC Bioinformatics. 8(1). 13–13. 67 indexed citations
18.
Harrison, Andrew, Caroline Johnston, & Christine Orengo. (2007). Establishing a major cause of discrepancy in the calibration of Affymetrix GeneChips. BMC Bioinformatics. 8(1). 195–195. 17 indexed citations
19.
Stalteri, Maria A. & Andrew Harrison. (2006). Comparisons of Annotation Predictions for Affymetrix GeneChips??. PubMed. 5(4). 237–248. 3 indexed citations
20.
Harrison, Andrew, Frances M. G. Pearl, Ian Sillitoe, et al.. (2003). Recognizing the fold of a protein structure. Bioinformatics. 19(14). 1748–1759. 64 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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