Andrew Barker

3.2k total citations
73 papers, 2.4k citations indexed

About

Andrew Barker is a scholar working on Molecular Biology, Organic Chemistry and Geophysics. According to data from OpenAlex, Andrew Barker has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 15 papers in Organic Chemistry and 11 papers in Geophysics. Recurrent topics in Andrew Barker's work include Geological and Geochemical Analysis (10 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (7 papers). Andrew Barker is often cited by papers focused on Geological and Geochemical Analysis (10 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (7 papers). Andrew Barker collaborates with scholars based in United Kingdom, Australia and United States. Andrew Barker's co-authors include Peter J. Leedman, Michael R. Epis, Keith M. Giles, J.R. Woodburn, Keith H. Gibson, Brenda J Curry, L. Scarlett, Paul A. Manning, Andrew A. Godfrey and Susan Ashton and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Andrew Barker

72 papers receiving 2.3k 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 Barker United Kingdom 29 1.3k 533 356 353 339 73 2.4k
Xiangchun Wang China 19 1.6k 1.2× 307 0.6× 259 0.7× 230 0.7× 95 0.3× 61 2.1k
Fei Su China 26 1.8k 1.4× 633 1.2× 68 0.2× 654 1.9× 200 0.6× 123 2.7k
Chengcheng Wang China 23 624 0.5× 237 0.4× 57 0.2× 144 0.4× 82 0.2× 82 1.9k
Hongtao Li China 23 962 0.8× 222 0.4× 16 0.0× 300 0.8× 134 0.4× 100 1.9k
Zhenli Li China 25 584 0.5× 382 0.7× 39 0.1× 449 1.3× 274 0.8× 103 2.5k
Jinhong Chen China 31 1.3k 1.0× 608 1.1× 45 0.1× 624 1.8× 385 1.1× 139 3.2k
Theodore Chase United States 17 1.1k 0.8× 252 0.5× 101 0.3× 373 1.1× 114 0.3× 40 2.7k
David E. Jensen United States 24 1.2k 1.0× 329 0.6× 111 0.3× 252 0.7× 168 0.5× 49 2.1k
Masaki Yamada Japan 18 667 0.5× 88 0.2× 122 0.3× 43 0.1× 36 0.1× 52 1.3k
Yoshihiro Yamamoto Japan 18 413 0.3× 189 0.4× 273 0.8× 169 0.5× 106 0.3× 69 1.6k

Countries citing papers authored by Andrew Barker

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Barker. A scholar is included among the top collaborators of Andrew Barker 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 Barker. Andrew Barker 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.
Smith, William P., et al.. (2025). Simulating neutronics heating using physics-informed neural networks to resolve the temperature field. Fusion Engineering and Design. 218. 115182–115182.
2.
Smith, William, et al.. (2024). Automated Machine Learning Workflows for Fusion Power Plant Design. Research Explorer (The University of Manchester). 8. 1–14. 1 indexed citations
3.
Traoré, Daouda A. K., et al.. (2012). Contribution of the first K-homology domain of poly(C)-binding protein 1 to its affinity and specificity for C-rich oligonucleotides. Nucleic Acids Research. 40(11). 5101–5114. 40 indexed citations
4.
Barker, Andrew, Michael R. Epis, Corrine J. Porter, et al.. (2012). Sequence requirements for RNA binding by HuR and AUF1. The Journal of Biochemistry. 151(4). 423–437. 52 indexed citations
5.
Giles, Keith M., et al.. (2010). MicroRNA Regulation of Growth Factor Receptor Signaling in Human Cancer Cells. Methods in molecular biology. 676. 147–163. 36 indexed citations
6.
Athanasopoulos, Vicki, Andrew Barker, Di Yu, et al.. (2010). The ROQUIN family of proteins localizes to stress granules via the ROQ domain and binds target mRNAs. FEBS Journal. 277(9). 2109–2127. 70 indexed citations
7.
Barker, Andrew, et al.. (2010). Regulation of ErbB receptor signalling in cancer cells by microRNA. Current Opinion in Pharmacology. 10(6). 655–661. 17 indexed citations
8.
Advani, Anjali S., Mazyar Shadman, Francis Ali‐Osman, et al.. (2010). A Phase II Trial of Gemcitabine and Mitoxantrone for Patients With Acute Myeloid Leukemia in First Relapse. Clinical Lymphoma Myeloma & Leukemia. 10(6). 473–476. 16 indexed citations
9.
Zhou, Hua, Krystyna Mazan-Mamczarz, Jennifer L. Martindale, et al.. (2010). Post-transcriptional regulation of androgen receptor mRNA by an ErbB3 binding protein 1 in prostate cancer. Nucleic Acids Research. 38(11). 3619–3631. 32 indexed citations
10.
Epis, Michael R., Keith M. Giles, Andrew Barker, Tulene S. Kendrick, & Peter J. Leedman. (2009). miR-331-3p Regulates ERBB-2 Expression and Androgen Receptor Signaling in Prostate Cancer. Journal of Biological Chemistry. 284(37). 24696–24704. 138 indexed citations
11.
Finlay, M. Raymond V., David Acton, David Andrews, et al.. (2008). Imidazole piperazines: SAR and development of a potent class of cyclin-dependent kinase inhibitors with a novel binding mode. Bioorganic & Medicinal Chemistry Letters. 18(15). 4442–4446. 27 indexed citations
12.
Hatchell, Esme C., Shane M. Colley, Dianne J. Beveridge, et al.. (2006). SLIRP, a Small SRA Binding Protein, Is a Nuclear Receptor Corepressor. Molecular Cell. 22(5). 657–668. 102 indexed citations
13.
Pezzementi, Leo, et al.. (2003). Amino acids defining the acyl pocket of an invertebrate cholinesterase. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 136(4). 813–832. 29 indexed citations
14.
Révet, Bernard, et al.. (1999). Four dimers of λ repressor bound to two suitably spaced pairs of λ operators form octamers and DNA loops over large distances. Current Biology. 9(3). 151–154. 101 indexed citations
15.
Zimmermann, Olav, et al.. (1999). Dimerisation mutants of lac repressor. I. a monomeric mutant, L251A, that binds lac operator DNA as a dimer 1 1Edited by M. Yaniv. Journal of Molecular Biology. 290(3). 653–666. 32 indexed citations
16.
Oehler, Stefan, et al.. (1999). Is Nitrocellulose Filter Binding Really a Universal Assay for Protein–DNA Interactions?. Analytical Biochemistry. 268(2). 330–336. 37 indexed citations
17.
Barker, Andrew, et al.. (1998). Operator search by mutant lac repressors. Journal of Molecular Biology. 278(3). 549–558. 23 indexed citations
18.
Wakeling, A. E., et al.. (1996). Specific inhibition of epidermal growth factor receptor tyrosine kinase by 4-anilinoquinazolines. Breast Cancer Research and Treatment. 38(1). 67–73. 130 indexed citations
19.
Reding, Raymond, Miguel P. Soares, Andrzej Baranski, et al.. (1994). Preformed antibody and complement rebound after plasma exchange: analysis of immunoglobulin isotypes and effect of splenectomy. Transplant Immunology. 2(3). 231–237. 8 indexed citations
20.
Warner, Peter, Andrew Barker, Ann L. Jackman, et al.. (1992). Quinoline antifolate thymidylate synthase inhibitors: variation of the C2- and C4-substituents. Journal of Medicinal Chemistry. 35(15). 2761–2768. 14 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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