Declan G. Bates

3.1k total citations
195 papers, 2.0k citations indexed

About

Declan G. Bates is a scholar working on Control and Systems Engineering, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Declan G. Bates has authored 195 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Control and Systems Engineering, 64 papers in Molecular Biology and 40 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Declan G. Bates's work include Gene Regulatory Network Analysis (47 papers), Respiratory Support and Mechanisms (37 papers) and Control Systems and Identification (35 papers). Declan G. Bates is often cited by papers focused on Gene Regulatory Network Analysis (47 papers), Respiratory Support and Mechanisms (37 papers) and Control Systems and Identification (35 papers). Declan G. Bates collaborates with scholars based in United Kingdom, Ireland and United States. Declan G. Bates's co-authors include Ian Postlethwaite, Prathyush P. Menon, Jongrae Kim, Jonathan G. Hardman, Anup Das, Carlo Cosentino, Alexander P. S. Darlington, Mathias Foo, Marc Chikhani and J. S. Heslop‐Harrison and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Declan G. Bates

186 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Declan G. Bates United Kingdom 25 693 570 380 223 183 195 2.0k
M. Araki Japan 28 321 0.5× 944 1.7× 63 0.2× 70 0.3× 59 0.3× 112 2.8k
Balázs Benyó Hungary 23 183 0.3× 223 0.4× 286 0.8× 41 0.2× 265 1.4× 144 1.6k
Pras Pathmanathan United States 27 594 0.9× 89 0.2× 82 0.2× 11 0.0× 439 2.4× 50 2.1k
Peng Yan China 28 191 0.3× 1.6k 2.7× 126 0.3× 186 0.8× 330 1.8× 256 2.7k
Franz Kappel Austria 26 77 0.1× 542 1.0× 82 0.2× 37 0.2× 87 0.5× 102 1.8k
Weichao Xu China 19 61 0.1× 112 0.2× 60 0.2× 194 0.9× 81 0.4× 85 1.5k
Michael Ulbrich Germany 23 59 0.1× 303 0.5× 56 0.1× 56 0.3× 95 0.5× 74 1.8k
Long Chen China 26 493 0.7× 67 0.1× 126 0.3× 60 0.3× 69 0.4× 81 1.8k
Howard Kaufman United States 13 108 0.2× 841 1.5× 44 0.1× 152 0.7× 56 0.3× 53 1.3k
Yuanmin Li China 27 313 0.5× 98 0.2× 129 0.3× 14 0.1× 81 0.4× 123 2.0k

Countries citing papers authored by Declan G. Bates

Since Specialization
Citations

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

Fields of papers citing papers by Declan G. Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Declan G. Bates. 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 Declan G. Bates. The network helps show where Declan G. Bates may publish in the future.

Co-authorship network of co-authors of Declan G. Bates

This figure shows the co-authorship network connecting the top 25 collaborators of Declan G. Bates. A scholar is included among the top collaborators of Declan G. Bates 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 Declan G. Bates. Declan G. Bates 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.
Tonelli, Roberto, John G. Laffey, António M. Esquinas, et al.. (2025). Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure. Critical Care. 29(1). 101–101.
2.
Schuppert, Andreas, Gernot Marx, Bindi S. Brook, et al.. (2025). Digital Twins to Evaluate the Risk of Ventilator-Induced Lung Injury During Airway Pressure Release Ventilation Compared With Pressure-Controlled Ventilation. Critical Care Medicine. 53(12). e2573–e2582.
3.
4.
Bates, Declan G., Jonathan G. Hardman, Andreas Schuppert, et al.. (2023). Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome. Diagnostics. 13(12). 2098–2098. 3 indexed citations
5.
Corre, Christophe, et al.. (2022). gcFront: a tool for determining a Pareto front of growth-coupled cell factory designs. Bioinformatics. 38(14). 3657–3659. 8 indexed citations
6.
Kwok, T’ng Chang, M.T.H. Meeus, Declan G. Bates, et al.. (2022). Application and potential of artificial intelligence in neonatal medicine. Seminars in Fetal and Neonatal Medicine. 27(5). 101346–101346. 29 indexed citations
7.
Das, Anup, et al.. (2021). Pre-hospital continuous positive airway pressure after blast lung injury and hypovolaemic shock: a modelling study. British Journal of Anaesthesia. 128(2). e151–e157. 3 indexed citations
8.
Das, Anup, Marc Chikhani, Timothy E. Scott, et al.. (2020). In Silico Modeling of Coronavirus Disease 2019 Acute Respiratory Distress Syndrome: Pathophysiologic Insights and Potential Management Implications. Critical Care Explorations. 2(9). e0202–e0202. 12 indexed citations
9.
Weinberg, Benjamin H., et al.. (2020). A mechanistic model of the BLADE platform predicts performance characteristics of 256 different synthetic DNA recombination circuits. PLoS Computational Biology. 16(12). e1007849–e1007849. 2 indexed citations
10.
Laffey, John G., Marc Chikhani, Declan G. Bates, & Jonathan G. Hardman. (2020). Supporting more than one patient with a single mechanical ventilator: useful last resort or unjustifiable risk?. British Journal of Anaesthesia. 125(3). 247–250. 8 indexed citations
11.
Das, Anup, et al.. (2020). Effect of oxygen fraction on airway rescue: a computational modelling study. British Journal of Anaesthesia. 125(1). e69–e74. 7 indexed citations
12.
Darlington, Alexander P. S., Juhyun Kim, José I. Jiménez, & Declan G. Bates. (2018). Engineering Translational Resource Allocation Controllers: Mechanistic Models, Design Guidelines, and Potential Biological Implementations. ACS Synthetic Biology. 7(11). 2485–2496. 21 indexed citations
13.
Das, Anup, et al.. (2018). Computer simulation clarifies mechanisms of carbon dioxide clearance during apnoea. British Journal of Anaesthesia. 122(3). 395–401. 26 indexed citations
14.
Das, Anup, Marc Chikhani, Wenfei Wang, et al.. (2015). Evaluation of lung recruitment maneuvers in acute respiratory distress syndrome using computer simulation. Critical Care. 19(1). 8–8. 23 indexed citations
15.
16.
Kim, Jongrae, Jung‐Su Kim, Ian Postlethwaite, J. S. Heslop‐Harrison, & Declan G. Bates. (2009). Validation of a model of regulation in the tryptophan operon against multiple experiment data using global optimisation. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 209–211. 2 indexed citations
17.
Kim, Jongrae, Declan G. Bates, & Ian Postlethwaite. (2009). Robustness analysis of magnetic torque controlled spacecraft altitude dynamics. Northumbria Research Link (Northumbria University). 2(1). 2 indexed citations
18.
Valeyev, Najl V., et al.. (2008). Crosstalk between G-protein and Ca2+ pathways switches intracellularcAMP levels. Molecular BioSystems. 5(1). 43–51. 8 indexed citations
19.
Valeyev, Najl V., et al.. (2007). Multiple calciumbinding sites make calmodulin multifunctional. Molecular BioSystems. 4(1). 66–73. 12 indexed citations
20.
Turner, Matthew C. & Declan G. Bates. (2007). Mathematical methods for robust and nonlinear control : EPSRC Summer School. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 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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