Andrew Shaw

4.9k total citations · 1 hit paper
130 papers, 3.9k citations indexed

About

Andrew Shaw is a scholar working on Molecular Biology, Pollution and Industrial and Manufacturing Engineering. According to data from OpenAlex, Andrew Shaw has authored 130 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 27 papers in Pollution and 26 papers in Industrial and Manufacturing Engineering. Recurrent topics in Andrew Shaw's work include Wastewater Treatment and Nitrogen Removal (27 papers), Wastewater Treatment and Reuse (13 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Andrew Shaw is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (27 papers), Wastewater Treatment and Reuse (13 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Andrew Shaw collaborates with scholars based in Canada, United States and United Kingdom. Andrew Shaw's co-authors include Lluís Corominas, Almudena Hospido, Jeremy S. Guest, Jutta Seehafer, Jeffrey Foley, Henrik Fred Larsen, Serni Morera, Joseph R. Slupsky, Allan Mak and Philippe Roux and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Andrew Shaw

120 papers receiving 3.7k citations

Hit Papers

Life cycle assessment applied to wastewater treatment: St... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Shaw Canada 35 1.0k 808 741 616 497 130 3.9k
Lujun Chen China 39 1.3k 1.3× 357 0.4× 1.3k 1.8× 521 0.8× 774 1.6× 173 5.1k
Takao Fujii Japan 31 573 0.6× 262 0.3× 433 0.6× 372 0.6× 1.2k 2.5× 144 3.4k
Makoto Hirata Japan 39 1.6k 1.6× 204 0.3× 210 0.3× 412 0.7× 229 0.5× 171 4.4k
Takao Fujii Japan 27 621 0.6× 98 0.1× 570 0.8× 222 0.4× 326 0.7× 146 3.1k
Wenjie Sun China 40 2.2k 2.2× 148 0.2× 394 0.5× 105 0.2× 389 0.8× 182 5.2k
Young Han Lee South Korea 37 1.2k 1.2× 169 0.2× 188 0.3× 288 0.5× 526 1.1× 344 6.0k
Eva Nilsson Sweden 30 632 0.6× 199 0.2× 611 0.8× 94 0.2× 210 0.4× 81 3.0k
Mengmeng Jiang China 29 1.6k 1.6× 70 0.1× 442 0.6× 245 0.4× 226 0.5× 134 3.9k
Xiaojuan He China 35 1.5k 1.5× 226 0.3× 457 0.6× 44 0.1× 311 0.6× 152 3.9k
Javier Silva Spain 44 2.4k 2.3× 158 0.2× 250 0.3× 1.2k 2.0× 727 1.5× 86 5.2k

Countries citing papers authored by Andrew Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Shaw. A scholar is included among the top collaborators of Andrew 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 Andrew Shaw. Andrew 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
2.
Adamczyk, Przemysław, Andrew Shaw, Ilaria Morella, & Lorenzo Morè. (2025). Neurobiology, molecular pathways, and environmental influences in antisocial traits and personality disorders. Neuropharmacology. 269. 110322–110322.
3.
Diotallevi, Marina, T. NICOL, Jade Bailey, et al.. (2022). Isolation and <em>In vitro</em> Culture of Bone Marrow-Derived Macrophages for the Study of NO-Redox Biology. Journal of Visualized Experiments. 2 indexed citations
4.
Shaw, Andrew, et al.. (2020). A proteomic signature for CNS adaptations to the valence of environmental stimulation. Behavioural Brain Research. 383. 112515–112515. 3 indexed citations
5.
Bailey, Jade, Marina Diotallevi, T. NICOL, et al.. (2019). Nitric Oxide Modulates Metabolic Remodeling in Inflammatory Macrophages through TCA Cycle Regulation and Itaconate Accumulation. Cell Reports. 28(1). 218–230.e7. 186 indexed citations
6.
Zhang, Qi, Siegfried E. Vlaeminck, C. deBarbadillo, et al.. (2018). Supernatant organics from anaerobic digestion after thermal hydrolysis cause direct and/or diffusional activity loss for nitritation and anammox. Water Research. 143. 270–281. 71 indexed citations
7.
Bailey, Jade, Andrew Shaw, Román Fischer, et al.. (2017). A novel role for endothelial tetrahydrobiopterin in mitochondrial redox balance. Free Radical Biology and Medicine. 104. 214–225. 46 indexed citations
8.
Garrido‐Baserba, Manel, Reza Sobhani, Betty H. Olson, et al.. (2016). Modelling the link amongst fine-pore diffuser fouling, oxygen transfer efficiency, and aeration energy intensity. Water Research. 111. 127–139. 32 indexed citations
9.
Shaw, Andrew, et al.. (2016). Gaseous Emissions from Wastewater Facilities. Water Environment Research. 88(10). 1249–1260. 1 indexed citations
10.
Garrido‐Baserba, Manel, Betty H. Olson, Hee‐Deung Park, et al.. (2015). Linking biofilm growth to fouling and aeration performance of fine-pore diffuser in activated sludge. Water Research. 90. 317–328. 36 indexed citations
11.
Flores‐Alsina, Xavier, Magnus Arnell, Youri Amerlinck, et al.. (2012). A dynamic modelling approach to evaluate GHG emissions from wastewater treatment plants. Lund University Publications (Lund University). 4 indexed citations
12.
Zhang, Jing, et al.. (2011). Non-cysteine linked MUC1 cytoplasmic dimers are required for Src recruitment and ICAM-1 binding induced cell invasion. Molecular Cancer. 10(1). 93–93. 42 indexed citations
13.
Shirvaikar, Neeta, Leah A. Marquez‐Curtis, Andrew Shaw, A. Robert Turner, & Anna Janowska‐Wieczorek. (2010). MT1-MMP association with membrane lipid rafts facilitates G-CSF−induced hematopoietic stem/progenitor cell mobilization. Experimental Hematology. 38(9). 823–835. 32 indexed citations
14.
Côté, Marie‐Hélène, Marie‐Claude Bourgeois‐Daigneault, Fangming Xiu, et al.. (2009). Sorting of MHC Class II Molecules into Exosomes through a Ubiquitin‐Independent Pathway. Traffic. 10(10). 1518–1527. 67 indexed citations
15.
Lam, Rebecca S., Andrew Shaw, & Marek Duszyk. (2004). Membrane cholesterol content modulates activation of BK channels in colonic epithelia. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1667(2). 241–248. 59 indexed citations
16.
Shaw, Andrew, et al.. (2002). Cell Adhesion-Mediated Transformation of a Human SCLC Cell Line Is Associated with the Development of a Normal Phenotype. Experimental Cell Research. 276(1). 63–78. 17 indexed citations
17.
Stewart, Michael W., Wai S. Etches, Andrew Shaw, & P. Gordon. (1997). vWf inhibitor detection by competitive ELISA. Journal of Immunological Methods. 200(1-2). 113–119. 15 indexed citations
18.
Slupsky, Joseph R., et al.. (1997). The Platelet Antigens CD9, CD42 and Integrin αIIbβIIIa Can be Topographically Associated and Transduce Functionally Similar Signals. European Journal of Biochemistry. 244(1). 168–175. 25 indexed citations
19.
Slupsky, Joseph R., JC Cawley, Lee S. Griffith, Andrew Shaw, & Mirko Zuzel. (1992). Role of Fc γ RII in platelet activation by monoclonal antibodies. The Journal of Immunology. 148(10). 3189–3194. 23 indexed citations
20.
Shaw, Andrew, et al.. (1974). IMMUNOLOGICAL TOLERANCE. The Journal of Experimental Medicine. 139(3). 767–772. 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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