Lloyd Bridge

549 total citations
26 papers, 380 citations indexed

About

Lloyd Bridge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Mechanics. According to data from OpenAlex, Lloyd Bridge has authored 26 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Computational Mechanics. Recurrent topics in Lloyd Bridge's work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (6 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Lloyd Bridge is often cited by papers focused on Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (6 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Lloyd Bridge collaborates with scholars based in United Kingdom, Netherlands and Canada. Lloyd Bridge's co-authors include Stephen J. Hill, Karl A. Franklin, Martin Homer, Leigh A. Stoddart, Brian Wetton, Lauren T. May, Stephen J. Briddon, John R. King, Anne Marie Quinn and Sam R.J. Hoare and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and The FASEB Journal.

In The Last Decade

Lloyd Bridge

22 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lloyd Bridge United Kingdom	12	239	99	59	36	29	26	380
Chang Lu China	11	226 0.9×	10 0.1×	31 0.5×	16 0.4×	21 0.7×	33	443
Chau H. Nguyen United States	14	246 1.0×	56 0.6×	27 0.5×	16 0.4×	15 0.5×	24	396
Zephan Melville United States	11	287 1.2×	41 0.4×	25 0.4×	15 0.4×	14 0.5×	14	368
Jill A. Franzosa United States	12	183 0.8×	29 0.3×	18 0.3×	9 0.3×	20 0.7×	17	384
Holger Behrsing United States	12	133 0.6×	113 1.1×	12 0.2×	14 0.4×	16 0.6×	30	368
Peter Clements United Kingdom	10	182 0.8×	59 0.6×	10 0.2×	3 0.1×	27 0.9×	24	421
Zhe Cheng United States	8	232 1.0×	24 0.2×	16 0.3×	5 0.1×	28 1.0×	11	376
JuFang Wang United States	17	459 1.9×	66 0.7×	24 0.4×	20 0.6×	9 0.3×	27	644
Rui Meng China	11	73 0.3×	27 0.3×	68 1.2×	10 0.3×	32 1.1×	40	411

Countries citing papers authored by Lloyd Bridge

Since Specialization

Citations

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

Fields of papers citing papers by Lloyd Bridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lloyd Bridge

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd Bridge. A scholar is included among the top collaborators of Lloyd Bridge 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 Lloyd Bridge. Lloyd Bridge 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

Bridge, Lloyd, Shiqian Chen, & Ben Jones. (2024). Computational modelling of dynamic cAMP responses to GPCR agonists for exploration of GLP-1R ligand effects in pancreatic β-cells and neurons. Cellular Signalling. 119. 111153–111153.

Grätz, Lukas, Janine Wesslowski, Lloyd Bridge, et al.. (2023). NanoBiT‐ and NanoBiT/BRET‐based assays allow the analysis of binding kinetics of Wnt‐3a to endogenous Frizzled 7 in a colorectal cancer model. British Journal of Pharmacology. 181(20). 3819–3835. 3 indexed citations

White, Carla, Vivi Rottschäfer, & Lloyd Bridge. (2023). Classical structural identifiability methodology applied to low-dimensional dynamic systems in receptor theory. Journal of Pharmacokinetics and Pharmacodynamics. 51(1). 39–63. 2 indexed citations

Pike, Jeremy A., Ying Di, Natalie S. Poulter, et al.. (2022). Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins. PLoS Computational Biology. 18(11). e1010708–e1010708. 4 indexed citations

White, Carla, Vivi Rottschäfer, & Lloyd Bridge. (2022). Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis. Journal of Theoretical Biology. 538. 110996–110996. 4 indexed citations

Hoare, Sam R.J., Paul Tewson, Anne Marie Quinn, Thomas E. Hughes, & Lloyd Bridge. (2020). Analyzing kinetic signaling data for G-protein-coupled receptors. Scientific Reports. 10(1). 12263–12263. 35 indexed citations

Bridge, Lloyd, et al.. (2020). Exact solutions and equi-dosing regimen regions for multi-dose pharmacokinetics models with transit compartments. Journal of Pharmacokinetics and Pharmacodynamics. 48(1). 99–131. 4 indexed citations

Bridge, Lloyd, et al.. (2018). Modelling and simulation of biased agonism dynamics at a G protein-coupled receptor. Journal of Theoretical Biology. 442. 44–65. 21 indexed citations

Guo, Dong, L. A. Peletier, Lloyd Bridge, et al.. (2018). A two‐state model for the kinetics of competitive radioligand binding. British Journal of Pharmacology. 175(10). 1719–1730. 17 indexed citations

10.

White, Carla & Lloyd Bridge. (2018). Ligand Binding Dynamics for Pre-dimerised G Protein-Coupled Receptor Homodimers: Linear Models and Analytical Solutions. Bulletin of Mathematical Biology. 81(9). 3542–3574. 8 indexed citations

11.

Jones, Nicholas A., James Boyd, Antony Adamson, et al.. (2016). Dynamic NF-κB and E2F interactions control the priority and timing of inflammatory signalling and cell proliferation. eLife. 5. 47 indexed citations

12.

Levine, Allen S., et al.. (2014). FMRI correlates of visual motion processing in hearing and deaf adults. Journal of Vision. 14(10). 297–297.

13.

Bridge, Lloyd, Gary R. Mirams, Martin Kieffer, John R. King, & Stefan Kepinski. (2011). Distinguishing possible mechanisms for auxin-mediated developmental control in Arabidopsis: Models with two Aux/IAA and ARF proteins, and two target gene-sets. Mathematical Biosciences. 235(1). 32–44. 12 indexed citations

14.

Bridge, Lloyd. (2010). Modeling and Simulation of Inverse Agonism Dynamics. Methods in enzymology on CD-ROM/Methods in enzymology. 485. 559–582. 4 indexed citations

15.

Bridge, Lloyd, John R. King, Stephen J. Hill, & Markus R. Owen. (2009). Mathematical modelling of signalling in a two-ligand G-protein coupled receptor system: Agonist–antagonist competition. Mathematical Biosciences. 223(2). 115–132. 10 indexed citations

16.

Bridge, Lloyd, et al.. (2009). Modelling of the activation of G-protein coupled receptors: drug free constitutive receptor activity. Journal of Mathematical Biology. 60(3). 313–346. 11 indexed citations

17.

Bridge, Lloyd. (2009). Condensation in a porous medium. Open Collections.

18.

Bridge, Lloyd, et al.. (2009). Modelling the activation of G-protein coupled receptors by a single drug. Mathematical Biosciences. 219(1). 32–55. 11 indexed citations

19.

Bridge, Lloyd, et al.. (2003). The analysis of a two-phase zone with condensation in a porous medium. Journal of Engineering Mathematics. 45(3-4). 247–268. 22 indexed citations

20.

Simpson, W. Sparrow, et al.. (1965). The mechanical properties of films. I. Evaluation of the mechanical properties of some surface coating polymers by the Williams, Landel and Ferry method. Journal of Applied Chemistry. 15(5). 208–215. 8 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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