Geoffrey M. Shaw

9.7k total citations
287 papers, 7.0k citations indexed

About

Geoffrey M. Shaw is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Geoffrey M. Shaw has authored 287 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Endocrinology, Diabetes and Metabolism, 85 papers in Pulmonary and Respiratory Medicine and 70 papers in Surgery. Recurrent topics in Geoffrey M. Shaw's work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (126 papers), Diabetes Management and Research (110 papers) and Respiratory Support and Mechanisms (61 papers). Geoffrey M. Shaw is often cited by papers focused on Hyperglycemia and glycemic control in critically ill and hospitalized patients (126 papers), Diabetes Management and Research (110 papers) and Respiratory Support and Mechanisms (61 papers). Geoffrey M. Shaw collaborates with scholars based in New Zealand, Belgium and Germany. Geoffrey M. Shaw's co-authors include J. Geoffrey Chase, Thomas Desaive, Jessica Lin, Christopher G. Pretty, Christopher E. Hann, Thomas Lotz, Yeong Shiong Chiew, Aaron Le Compte, Xing‐Wei Wong and Aaron J. Le Compte and has published in prestigious journals such as PLoS ONE, Free Radical Biology and Medicine and Kidney International.

In The Last Decade

Geoffrey M. Shaw

275 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoffrey M. Shaw New Zealand 46 3.2k 1.7k 1.4k 1.3k 1.0k 287 7.0k
Dirk Vlasselaers Belgium 23 5.1k 1.6× 2.2k 1.3× 1.9k 1.4× 2.6k 2.0× 1.3k 1.3× 60 10.5k
Jean‐Charles Preiser Belgium 53 4.0k 1.2× 2.7k 1.5× 2.3k 1.6× 2.9k 2.2× 1.2k 1.2× 220 12.5k
Frank Weekers Belgium 16 5.1k 1.6× 1.5k 0.9× 1.4k 1.0× 2.4k 1.8× 1.1k 1.1× 24 8.6k
Charles Verwaest Belgium 19 4.7k 1.5× 1.5k 0.8× 1.7k 1.2× 2.5k 1.9× 1.2k 1.2× 21 8.8k
Miet Schetz Belgium 43 5.8k 1.8× 2.8k 1.6× 2.7k 1.9× 4.2k 3.1× 1.6k 1.6× 94 15.4k
Vin‐Cent Wu Taiwan 47 2.8k 0.9× 714 0.4× 3.1k 2.1× 890 0.7× 1.4k 1.4× 401 8.1k
Simon Finfer Australia 52 1.5k 0.5× 2.0k 1.1× 2.7k 1.9× 5.4k 4.1× 1.5k 1.5× 210 13.1k
Dieter Mesotten Belgium 32 1.7k 0.5× 1.3k 0.8× 757 0.5× 906 0.7× 346 0.3× 100 5.0k
Andrea De Gaetano Italy 41 2.3k 0.7× 998 0.6× 3.9k 2.7× 749 0.6× 562 0.5× 207 7.4k
Thomas Desaive Belgium 34 1.4k 0.4× 1.3k 0.7× 788 0.6× 714 0.5× 805 0.8× 207 3.6k

Countries citing papers authored by Geoffrey M. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey M. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey M. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey M. Shaw. A scholar is included among the top collaborators of Geoffrey M. 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 Geoffrey M. Shaw. Geoffrey M. 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.
Sun, Qianhui, Qianhui Sun, J. Geoffrey Chase, et al.. (2024). Estimating patient spontaneous breathing effort in mechanical ventilation using a b-splines function approach. Open Repository and Bibliography (University of Liège). 28. 100259–100259.
3.
Sun, Qianhui, J. Geoffrey Chase, Cong Zhou, et al.. (2023). Patient Spontaneous Effort Estimation in Digital Twin Model with B-spline Function. IFAC-PapersOnLine. 56(2). 2096–2101. 3 indexed citations
4.
Chase, J. Geoffrey, et al.. (2022). Modelling patient specific cardiopulmonary interactions. Computers in Biology and Medicine. 151(Pt A). 106235–106235. 5 indexed citations
5.
Knopp, Jennifer L., et al.. (2020). Risk and reward: extending stochastic glycaemic control intervals to reduce workload. BioMedical Engineering OnLine. 19(1). 26–26. 7 indexed citations
6.
Knopp, Jennifer L., Philippe Morimont, Bernard Lambermont, et al.. (2020). Translating A Risk-Based Glycaemic Control Framework for Critically Ill Patients: STAR-Liège. Open Repository and Bibliography (University of Liège). 1 indexed citations
7.
Brennan, Peter A., et al.. (2020). Leading article: What can we do to improve individual and team situational awareness to benefit patient safety?. British Journal of Oral and Maxillofacial Surgery. 58(4). 404–408. 36 indexed citations
8.
Knopp, Jennifer L., Philippe Morimont, Bernard Lambermont, et al.. (2019). STAR-Liège Clinical Trial Interim Results: Safe and Effective Glycemic Control for All. PubMed. 2019. 277–280. 5 indexed citations
9.
Parente, Jacquelyn Dawn, J. Geoffrey Chase, Knut Möller, & Geoffrey M. Shaw. (2019). Kernel density estimates for sepsis classification. Computer Methods and Programs in Biomedicine. 188. 105295–105295. 5 indexed citations
10.
Chiew, Yeong Shiong, Christopher G. Pretty, Alex Beatson, et al.. (2015). Automated logging of inspiratory and expiratory non-synchronized breathing (ALIEN) for mechanical ventilation. PubMed. 2015. 5315–5318. 12 indexed citations
11.
Ferenci, Tamás, et al.. (2013). Daily Evolution of Insulin Sensitivity Variability with Respect to Diagnosis in the Critically Ill. PLoS ONE. 8(2). e57119–e57119. 13 indexed citations
12.
Pickering, John W., Christopher Frampton, Robert Walker, Geoffrey M. Shaw, & Zoltán Endre. (2012). Four hour creatinine clearance is better than plasma creatinine for monitoring renal function in critically ill patients. Critical Care. 16(3). R107–R107. 55 indexed citations
13.
Pretty, Christopher G., J. Geoffrey Chase, Jessica Lin, et al.. (2010). Impact of glucocorticoids on insulin resistance in the critically ill. Computer Methods and Programs in Biomedicine. 102(2). 172–180. 26 indexed citations
14.
Shaw, Geoffrey M., J. Geoffrey Chase, C.E. Hann, et al.. (2008). Making sense of the Chaos: Model-based CVS monitoring and decision support in critical care. Open Repository and Bibliography (University of Liège). 1 indexed citations
15.
Hann, C.E., et al.. (2008). Mathematical modelling and parameter identification methods in systems. Open Repository and Bibliography (University of Liège). 1 indexed citations
16.
Shaw, Geoffrey M., J. Geoffrey Chase, Bram W. Smith, et al.. (2007). Modelling the cardiovascular system. Critical Care and Resuscitation. 9(3). 264–269. 7 indexed citations
17.
Chase, J. Geoffrey, et al.. (2006). A novel mechanical lung model of pulmonary diseases to assist with teaching and training. BMC Pulmonary Medicine. 6(1). 21–21. 16 indexed citations
18.
Chase, J. Geoffrey, et al.. (2006). Parameter identification and sedative sensitivity analysis of an agitation–sedation model. Computer Methods and Programs in Biomedicine. 83(3). 211–221. 2 indexed citations
19.
Chase, J. Geoffrey, et al.. (2005). Physiological modelling of agitation–sedation dynamics. Medical Engineering & Physics. 28(1). 49–59. 7 indexed citations
20.
Freeman, C. G., et al.. (2001). Alcohol in breath and blood: a selected ion flow tube mass spectrometric study. Rapid Communications in Mass Spectrometry. 15(6). 413–417. 30 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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