Barry Shaw

1.1k total citations
33 papers, 872 citations indexed

About

Barry Shaw is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Barry Shaw has authored 33 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Epidemiology. Recurrent topics in Barry Shaw's work include Ubiquitin and proteasome pathways (5 papers), Bone health and treatments (5 papers) and Healthcare Operations and Scheduling Optimization (4 papers). Barry Shaw is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Bone health and treatments (5 papers) and Healthcare Operations and Scheduling Optimization (4 papers). Barry Shaw collaborates with scholars based in United Kingdom, Australia and United States. Barry Shaw's co-authors include Robert Layfield, Mark S. Searle, Jed Long, A.H. Marshall, Michael Rittig, James R. Cavey, Alice Goode, Thomas P. Garner, Michael P. Steinkampf and Sarah L. Rea and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Journal of Molecular Biology.

In The Last Decade

Barry Shaw

33 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barry Shaw United Kingdom 17 346 250 125 113 103 33 872
Michael D. Wagoner United States 34 224 0.6× 362 1.4× 111 0.9× 45 0.4× 100 1.0× 129 4.1k
Mousa Mohammadnia‐Afrouzi Iran 19 244 0.7× 120 0.5× 94 0.8× 50 0.4× 380 3.7× 56 1.0k
Nara Yoon South Korea 17 331 1.0× 58 0.2× 233 1.9× 47 0.4× 105 1.0× 56 1.1k
Ronald Buggage United States 31 543 1.6× 299 1.2× 349 2.8× 396 3.5× 252 2.4× 70 3.4k
Albert Rübben Germany 18 206 0.6× 338 1.4× 190 1.5× 26 0.2× 111 1.1× 63 981
Haiwei Wu China 16 446 1.3× 97 0.4× 136 1.1× 56 0.5× 127 1.2× 48 1.0k
Yasuhiko Tsutsumi Japan 20 213 0.6× 212 0.8× 102 0.8× 31 0.3× 169 1.6× 66 1.0k
L. Morrison United Kingdom 18 222 0.6× 91 0.4× 128 1.0× 25 0.2× 153 1.5× 57 986
Maria Rita Nasca Italy 27 264 0.8× 666 2.7× 386 3.1× 74 0.7× 187 1.8× 102 2.0k
Eun Joo Park South Korea 19 201 0.6× 183 0.7× 139 1.1× 18 0.2× 242 2.3× 110 1.2k

Countries citing papers authored by Barry Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Barry Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barry Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Barry Shaw. A scholar is included among the top collaborators of Barry Shaw 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 Barry Shaw. Barry Shaw 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.
Hall, R., Lisette M. Kootker, Neil J. Oldham, et al.. (2023). Osteological, multi-isotope and proteomic analysis of poorly-preserved human remains from a Dutch East India Company burial ground in South Africa. Scientific Reports. 13(1). 14666–14666. 4 indexed citations
2.
Shaw, Barry, Catriona Pickard, Neil J. Oldham, et al.. (2023). Antibody-based sex determination of human skeletal remains. iScience. 26(11). 108191–108191. 2 indexed citations
3.
Shaw, Barry, Thomas McDonnell, Elizabeth Radley, et al.. (2023). Preservation of whole antibodies within ancient teeth. iScience. 26(9). 107575–107575. 3 indexed citations
4.
Thomas, Brian C., Meez Islam, Tim Thompson, et al.. (2017). Second-harmonic generation imaging of collagen in ancient bone. Bone Reports. 7. 137–144. 8 indexed citations
5.
Goode, Alice, et al.. (2016). ALS-FTLD associated mutations of SQSTM1 impact on Keap1-Nrf2 signalling. Molecular and Cellular Neuroscience. 76. 52–58. 47 indexed citations
6.
Scott, Daniel, Joanna Strachan, Barry Shaw, et al.. (2016). Method for the Purification of Endogenous Unanchored Polyubiquitin Chains. Methods in molecular biology. 1449. 203–213. 2 indexed citations
7.
Haoula, Zeina, Barry Shaw, Clare A. Daykin, et al.. (2014). Validation of proteomic biomarkers previously found to be differentially expressed in women with Polycystic Ovary Syndrome: a cross-sectional study. Gynecological Endocrinology. 30(3). 213–216. 7 indexed citations
8.
Goode, Alice, Jed Long, Barry Shaw, et al.. (2014). Paget disease of bone-associated UBA domain mutations of SQSTM1 exert distinct effects on protein structure and function. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(7). 992–1000. 23 indexed citations
9.
Shaw, Barry, Jed Long, Guang Sun, et al.. (2011). Inhibition of Cullin RING Ligases by Cycle Inhibiting Factor: Evidence for Interference with Nedd8-Induced Conformational Control. Journal of Molecular Biology. 413(2). 430–437. 17 indexed citations
10.
Rutland, Catrin S., A. Thorpe, Thelma Robinson, et al.. (2009). Knockdown of alpha myosin heavy chain disrupts the cytoskeleton and leads to multiple defects during chick cardiogenesis. Journal of Anatomy. 214(6). 905–915. 20 indexed citations
11.
Long, Jed, Thomas P. Garner, Maya J. Pandya, et al.. (2009). Dimerisation of the UBA Domain of p62 Inhibits Ubiquitin Binding and Regulates NF-κB Signalling. Journal of Molecular Biology. 396(1). 178–194. 84 indexed citations
12.
Layfield, Robert & Barry Shaw. (2007). Ubiquitin-mediated signalling and Paget's disease of bone. BMC Biochemistry. 8(Suppl 1). S5–S5. 19 indexed citations
13.
Marshall, A.H., et al.. (2007). Patient Activity in Hospital using Discrete Conditional Phase-type (DC-Ph) Models. 154–161. 7 indexed citations
14.
Shaw, Barry & A.H. Marshall. (2006). Modeling the Health Care Costs of Geriatric Inpatients. IEEE Transactions on Information Technology in Biomedicine. 10(3). 526–532. 4 indexed citations
15.
Marshall, A.H., Barry Shaw, & Sally McClean. (2006). Estimating the costs for a group of geriatric patients using the Coxian phase‐type distribution. Statistics in Medicine. 26(13). 2716–2729. 22 indexed citations
16.
Shaw, Barry, et al.. (2005). Modelling patient flow in hospital using queuing theory. Operational Research. 4 indexed citations
17.
Rittig, Michael, Barry Shaw, Darren P. Letley, et al.. (2003). Helicobacter pylori-induced homotypic phagosome fusion in human monocytes is independent of the bacterial vacA and cag status. Cellular Microbiology. 5(12). 887–899. 42 indexed citations
18.
Coombes, A.G.A., Elisabetta Verderio, Barry Shaw, et al.. (2002). Biocomposites of non-crosslinked natural and synthetic polymers. Biomaterials. 23(10). 2113–2118. 79 indexed citations
19.
Shaw, Barry, et al.. (1992). Inhibition of preimplantation mouse embryo developmentby isoflurane. American Journal of Obstetrics and Gynecology. 166(2). 693–698. 10 indexed citations
20.
Shaw, Barry, et al.. (1990). Effects of Nitrous Oxide on Preimplantation Mouse Embryo Cleavage and Development. Biology of Reproduction. 43(1). 158–161. 41 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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