Brett Tully

951 total citations
20 papers, 390 citations indexed

About

Brett Tully is a scholar working on Cellular and Molecular Neuroscience, Geophysics and Aerospace Engineering. According to data from OpenAlex, Brett Tully has authored 20 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Geophysics and 5 papers in Aerospace Engineering. Recurrent topics in Brett Tully's work include Laser-Plasma Interactions and Diagnostics (5 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Brett Tully is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (5 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Brett Tully collaborates with scholars based in United Kingdom, Australia and United States. Brett Tully's co-authors include Yiannis Ventikos, John C. Vardakis, Dean Chou, Liwei Guo, Po‐Hsiang Tsui, Peter G. Hains, Matthias Lange, Alejandro F. Frangi, Nishant Ravikumar and Qing Zhong and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Fluid Mechanics.

In The Last Decade

Brett Tully

18 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brett Tully United Kingdom	10	127	101	84	81	69	20	390
John C. Vardakis United Kingdom	9	67 0.5×	75 0.7×	68 0.8×	84 1.0×	34 0.5×	12	264
Eoin Hyde United Kingdom	14	38 0.3×	17 0.2×	114 1.4×	50 0.6×	104 1.5×	24	505
Svein Linge Norway	11	31 0.2×	160 1.6×	22 0.3×	17 0.2×	24 0.3×	23	374
Wai Hong Ronald Chan United States	13	120 0.9×	4 0.0×	47 0.6×	83 1.0×	75 1.1×	51	623
Gregory D. Lyng United States	14	109 0.9×	43 0.4×	29 0.3×	13 0.2×	11 0.2×	26	683
Vincent Doyeux France	7	95 0.7×	8 0.1×	35 0.4×	16 0.2×	76 1.1×	8	323
Emanuele Schiavi Spain	10	27 0.2×	11 0.1×	114 1.4×	25 0.3×	59 0.9×	28	327
Tingting Wu China	10	117 0.9×	54 0.5×	9 0.1×	9 0.1×	38 0.6×	29	413
H. Susskind United States	12	28 0.2×	32 0.3×	132 1.6×	15 0.2×	52 0.8×	38	464
John Biddiscombe Switzerland	9	109 0.9×	54 0.5×	15 0.2×	34 0.4×	9 0.1×	21	316

Countries citing papers authored by Brett Tully

Since Specialization

Citations

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

Fields of papers citing papers by Brett Tully

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Tully

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

All Works

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20 of 20 papers shown

Clarke, David J., et al.. (2021). Improved identification and quantification of peptides in mass spectrometry data via chemical and random additive noise elimination (CRANE). Bioinformatics. 37(24). 4719–4726. 5 indexed citations

Tully, Brett. (2020). Toffee – a highly efficient, lossless file format for DIA-MS. Scientific Reports. 10(1). 8939–8939. 6 indexed citations

Hains, Peter G., et al.. (2019). A Case Study and Methodology for OpenSWATH Parameter Optimization Using the ProCan90 Data Set and 45 810 Computational Analysis Runs. Journal of Proteome Research. 18(3). 1019–1031. 4 indexed citations

Tully, Brett, Rosemary L. Balleine, Peter G. Hains, et al.. (2019). Addressing the Challenges of High‐Throughput Cancer Tissue Proteomics for Clinical Application: ProCan. PROTEOMICS. 19(21-22). e1900109–e1900109. 19 indexed citations

Anderson, Phillip A., et al.. (2017). Characterizing shock waves in hydrogel using high speed imaging and a fiber-optic probe hydrophone. Physics of Fluids. 29(5). 5 indexed citations

Guo, Liwei, John C. Vardakis, Toni Lassila, et al.. (2017). Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease. Interface Focus. 8(1). 20170019–20170019. 49 indexed citations

Doyle, Hugo, et al.. (2017). A hypervelocity impact facility optimised for the dynamic study of high pressure shock compression. Procedia Engineering. 204. 344–351. 10 indexed citations

Doyle, Hugo, et al.. (2016). Shock induced cavity collapse.. Bulletin of the American Physical Society. 2016.

Tully, Brett, et al.. (2016). Modeling asymmetric cavity collapse with plasma equations of state. Physical review. E. 93(5). 53105–53105. 11 indexed citations

10.

Chou, Dean, John C. Vardakis, Liwei Guo, Brett Tully, & Yiannis Ventikos. (2015). A fully dynamic multi-compartmental poroelastic system: Application to aqueductal stenosis. Journal of Biomechanics. 49(11). 2306–2312. 31 indexed citations

11.

Tully, Brett, et al.. (2015). Computational modelling of the interaction of shock waves with multiple gas-filled bubbles in a liquid. Physics of Fluids. 27(3). 46 indexed citations

12.

Vardakis, John C., et al.. (2015). Investigating cerebral oedema using poroelasticity. Medical Engineering & Physics. 38(1). 48–57. 41 indexed citations

13.

Vardakis, John C., Brett Tully, & Yiannis Ventikos. (2013). Exploring the Efficacy of Endoscopic Ventriculostomy for Hydrocephalus Treatment via a Multicompartmental Poroelastic Model of CSF Transport: A Computational Perspective. PLoS ONE. 8(12). e84577–e84577. 19 indexed citations

14.

Anderson, Phillip A., et al.. (2013). Experimental characterisation of light emission during shock-driven cavity collapse. Proceedings of meetings on acoustics. 75039–75039. 1 indexed citations

15.

Tully, Brett, et al.. (2013). Simulation of warm dense matter in intense bubble collapse. Proceedings of meetings on acoustics. 75040–75040. 1 indexed citations

16.

Tully, Brett, et al.. (2013). Simulation of warm dense matter in intense bubble collapse. The Journal of the Acoustical Society of America. 133(5_Supplement). 3356–3356. 1 indexed citations

17.

Anderson, Phillip A., et al.. (2013). Experimental characterization of light emission during shock-driven cavity collapse. The Journal of the Acoustical Society of America. 133(5_Supplement). 3355–3355. 1 indexed citations

18.

Tully, Brett, James P. Byrne, & Yiannis Ventikos. (2010). Is Normal Pressure Hydrocephalus more than a mechanical disruption to CSF flow?. PubMed. 2010. 235–238.

19.

Tully, Brett & Yiannis Ventikos. (2010). Cerebral water transport using multiple-network poroelastic theory: application to normal pressure hydrocephalus. Journal of Fluid Mechanics. 667. 188–215. 93 indexed citations

20.

Tully, Brett & Yiannis Ventikos. (2009). Coupling Poroelasticity and CFD for Cerebrospinal Fluid Hydrodynamics. IEEE Transactions on Biomedical Engineering. 56(6). 1644–1651. 47 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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