Michael Shaw

798 total citations
11 papers, 601 citations indexed

About

Michael Shaw is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Michael Shaw has authored 11 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Pharmacology. Recurrent topics in Michael Shaw's work include Alzheimer's disease research and treatments (4 papers), Prion Diseases and Protein Misfolding (2 papers) and Computational Drug Discovery Methods (2 papers). Michael Shaw is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Prion Diseases and Protein Misfolding (2 papers) and Computational Drug Discovery Methods (2 papers). Michael Shaw collaborates with scholars based in United Kingdom, United States and Germany. Michael Shaw's co-authors include Sven Halbedel, Ling Juan Wu, L. de Visser, Leendert W. Hamoen, Jeff Errington, Davide Marenduzzo, Rok Lenarčič, Létitia Jean, David J. Vaux and Chiu Fan Lee and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Michael Shaw

10 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Shaw United Kingdom 7 440 182 95 80 69 11 601
Edoardo D’Imprima Germany 11 392 0.9× 69 0.4× 41 0.4× 52 0.7× 59 0.9× 14 670
Dongchun Ni Switzerland 13 485 1.1× 220 1.2× 72 0.8× 61 0.8× 36 0.5× 24 775
Eva Schäfer Germany 9 873 2.0× 276 1.5× 57 0.6× 122 1.5× 17 0.2× 9 1.2k
Qing Guo United States 17 585 1.3× 182 1.0× 97 1.0× 34 0.4× 28 0.4× 22 893
Stefania A. Mari Switzerland 18 848 1.9× 95 0.5× 60 0.6× 39 0.5× 71 1.0× 29 1.1k
R. Chalk United Kingdom 17 599 1.4× 149 0.8× 31 0.3× 19 0.2× 38 0.6× 36 982
Dror S. Chorev United Kingdom 14 766 1.7× 120 0.7× 71 0.7× 41 0.5× 52 0.8× 18 1.1k
Irina Dementieva United States 14 585 1.3× 163 0.9× 21 0.2× 57 0.7× 105 1.5× 17 819
Je‐Kyung Ryu South Korea 12 623 1.4× 53 0.3× 51 0.5× 36 0.5× 57 0.8× 21 920
Koichi Nishigaki Japan 19 850 1.9× 168 0.9× 30 0.3× 187 2.3× 124 1.8× 92 1.1k

Countries citing papers authored by Michael Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Michael Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Shaw. A scholar is included among the top collaborators of Michael 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 Michael Shaw. Michael Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Barlow, Andrew, Michael Shaw, N Kapoor, et al.. (2023). COPD Virtual Wards offer more than just home comforts. PA4143–PA4143.
3.
Shaw, Michael, et al.. (2022). Incidence and Clinical Features of Pneumomediastinum and Pneumothorax in COVID-19 Pneumonia. Journal of Intensive Care Medicine. 37(8). 1015–1018. 5 indexed citations
4.
Shaw, Michael & Ramprasad Matsa. (2015). Clonidine withdrawal induced sympathetic surge. BMJ Case Reports. 2015. bcr2015210325–bcr2015210325. 6 indexed citations
5.
Gardiner, Chris, Michael Shaw, Patrick Hole, et al.. (2014). Measurement of refractive index by nanoparticle tracking analysis reveals heterogeneity in extracellular vesicles. Journal of Extracellular Vesicles. 3(1). 25361–25361. 142 indexed citations
6.
Lee, Chiu Fan, Sarah Bird, Michael Shaw, Létitia Jean, & David J. Vaux. (2012). Combined Effects of Agitation, Macromolecular Crowding, and Interfaces on Amyloidogenesis. Journal of Biological Chemistry. 287(45). 38006–38019. 71 indexed citations
7.
Lenarčič, Rok, Sven Halbedel, L. de Visser, et al.. (2009). Localisation of DivIVA by targeting to negatively curved membranes. The EMBO Journal. 28(15). 2272–2282. 253 indexed citations
8.
Jean, Létitia, Chiu Fan Lee, Chong Soo Lee, Michael Shaw, & David J. Vaux. (2009). Competing discrete interfacial effects are critical for amyloidogenesis. The FASEB Journal. 24(1). 309–317. 47 indexed citations
9.
Jean, Létitia, Chiu Fan Lee, Michael Shaw, & David J. Vaux. (2008). Structural Elements Regulating Amyloidogenesis: A Cholinesterase Model System. PLoS ONE. 3(3). e1834–e1834. 12 indexed citations
10.
Jean, Létitia, Benjamin Thomas, Abdessamad Tahiri‐Alaoui, Michael Shaw, & David J. Vaux. (2007). Heterologous Amyloid Seeding: Revisiting the Role of Acetylcholinesterase in Alzheimer's Disease. PLoS ONE. 2(7). e652–e652. 24 indexed citations
11.
Baskakov, Ilia V., Petra Disterer, Leonid Breydo, et al.. (2005). The presence of valine at residue 129 in human prion protein accelerates amyloid formation. FEBS Letters. 579(12). 2589–2596. 38 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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