Kieran Alden

675 total citations
28 papers, 397 citations indexed

About

Kieran Alden is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Kieran Alden has authored 28 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Kieran Alden's work include Gene Regulatory Network Analysis (9 papers), Evolution and Genetic Dynamics (5 papers) and T-cell and B-cell Immunology (4 papers). Kieran Alden is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Evolution and Genetic Dynamics (5 papers) and T-cell and B-cell Immunology (4 papers). Kieran Alden collaborates with scholars based in United Kingdom, Australia and United States. Kieran Alden's co-authors include Jon Timmis, Mark Coles, Paul S. Andrews, Mark Read, Henrique Veiga‐Fernandes, Jason Cosgrove, L. Cucurull-Sanchez, Stella Veretnik, Fiona Polack and Hideki Enomoto and has published in prestigious journals such as Frontiers in Immunology, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Kieran Alden

27 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kieran Alden United Kingdom 10 165 71 52 38 38 28 397
Valentin Dinu United States 14 249 1.5× 36 0.5× 22 0.4× 7 0.2× 136 3.6× 32 550
Joyeeta Dutta‐Moscato United States 8 168 1.0× 56 0.8× 14 0.3× 16 0.4× 36 0.9× 11 431
Rahuman S. Malik‐Sheriff United Kingdom 11 409 2.5× 31 0.4× 14 0.3× 62 1.6× 44 1.2× 20 727
Christian Tönsing Germany 6 215 1.3× 15 0.2× 11 0.2× 33 0.9× 35 0.9× 8 394
Jason Xu United States 11 178 1.1× 28 0.4× 7 0.1× 11 0.3× 27 0.7× 39 434
Franz-Georg Wieland Germany 6 236 1.4× 7 0.1× 9 0.2× 12 0.3× 18 0.5× 7 425
Xiaojian Shao Canada 17 872 5.3× 37 0.5× 5 0.1× 72 1.9× 104 2.7× 40 1.1k
Kaname Kojima Japan 17 453 2.7× 109 1.5× 20 0.4× 30 0.8× 169 4.4× 48 867

Countries citing papers authored by Kieran Alden

Since Specialization
Citations

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

Fields of papers citing papers by Kieran Alden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kieran Alden

This figure shows the co-authorship network connecting the top 25 collaborators of Kieran Alden. A scholar is included among the top collaborators of Kieran Alden 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 Kieran Alden. Kieran Alden 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.
Alden, Kieran, et al.. (2024). Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0. PLoS Computational Biology. 20(2). e1011303–e1011303. 6 indexed citations
2.
Miyazawa, Alvaro, et al.. (2024). Formal design, verification and implementation of robotic controller software via RoboChart and RoboTool. Autonomous Robots. 48(6). 1 indexed citations
3.
Cosgrove, Jason, Kieran Alden, Jens V. Stein, Mark Coles, & Jon Timmis. (2021). Simulating CXCR5 Dynamics in Complex Tissue Microenvironments. Frontiers in Immunology. 12. 703088–703088.
4.
Rizvi, Syed S., et al.. (2020). Why Compliance is needed for Internet of Things?. 66–71. 1 indexed citations
5.
Alden, Kieran, Margherita Coccia, Aurélie Chalon, et al.. (2019). Application of Modeling Approaches to Explore Vaccine Adjuvant Mode-of-Action. Frontiers in Immunology. 10. 2150–2150. 5 indexed citations
6.
7.
Evans, Stephanie, Kieran Alden, L. Cucurull-Sanchez, et al.. (2017). ASPASIA: A toolkit for evaluating the effects of biological interventions on SBML model behaviour. PLoS Computational Biology. 13(2). e1005351–e1005351. 4 indexed citations
8.
Butler, James A., Jason Cosgrove, Kieran Alden, Jon Timmis, & Mark Coles. (2017). Model-Driven Experimentation: A New Approach to Understand Mechanisms of Tertiary Lymphoid Tissue Formation, Function, and Therapeutic Resolution. Frontiers in Immunology. 7. 658–658. 4 indexed citations
9.
Alden, Kieran, Jon Timmis, Paul S. Andrews, Henrique Veiga‐Fernandes, & Mark Coles. (2016). Extending and Applying Spartan to Perform Temporal Sensitivity Analyses for Predicting Changes in Influential Biological Pathways in Computational Models. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(2). 431–442. 7 indexed citations
10.
Alden, Kieran, Paul S. Andrews, Fiona Polack, et al.. (2015). Using argument notation to engineer biological simulations with increased confidence. Journal of The Royal Society Interface. 12(104). 20141059–20141059. 19 indexed citations
11.
Cosgrove, Jason, J. Butler, Kieran Alden, et al.. (2015). Agent-Based Modeling in Systems Pharmacology. CPT Pharmacometrics & Systems Pharmacology. 4(11). 615–629. 40 indexed citations
12.
Alden, Kieran, Jon Timmis, & Mark Coles. (2014). Easing Parameter Sensitivity Analysis of Netlogo Simulations Using SPARTAN. 622–628. 1 indexed citations
13.
Butler, James A., Kieran Alden, Henrique Fernandes, Jon Timmis, & Mark Coles. (2014). Novel Approaches to the Visualization and Quantification of Biological Simulations by Emulating Experimental Techniques. 614–621. 4 indexed citations
14.
Alden, Kieran, Jon Timmis, & Mark Coles. (2014). Easing Parameter Sensitivity Analysis of Netlogo Simulations Using SPARTAN. 622–628. 2 indexed citations
15.
Alden, Kieran, Paul S. Andrews, Henrique Veiga‐Fernandes, Jon Timmis, & Mark Coles. (2014). Utilising a simulation platform to understand the effect of domain model assumptions. Natural Computing. 14(1). 99–107. 4 indexed citations
16.
Alden, Kieran, Mark Read, Jon Timmis, et al.. (2013). Correction: Spartan: A Comprehensive Tool for Understanding Uncertainty in Simulations of Biological Systems. PLoS Computational Biology. 9(8). 8 indexed citations
17.
Alden, Kieran, Jon Timmis, Paul S. Andrews, Henrique Veiga‐Fernandes, & Mark Coles. (2012). Pairing experimentation and computational modeling to understand the role of tissue inducer cells in the development of lymphoid organs. Frontiers in Immunology. 3. 172–172. 24 indexed citations
18.
Patel, Amisha, Nicola Harker, Manuela Ferreira, et al.. (2012). Differential RET Signaling Pathways Drive Development of the Enteric Lymphoid and Nervous Systems. Science Signaling. 5(235). ra55–ra55. 74 indexed citations
19.
Alden, Kieran, Stella Veretnik, & Philip E. Bourne. (2010). dConsensus: a tool for displaying domain assignments by multiple structure-based algorithms and for construction of a consensus assignment. BMC Bioinformatics. 11(1). 310–310. 14 indexed citations
20.
Kratochwill, Thomas R., et al.. (1974). A FURTHER CONSIDERATION IN THE APPLICATION OF AN ANALYSIS‐OF‐VARIANCE MODEL FOR THE INTRASUBJECT REPLICATION DESIGN. Journal of Applied Behavior Analysis. 7(4). 629–633. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Valentin Dinu Breakdown of academic impact, for papers by Joyeeta Dutta‐Moscato Breakdown of academic impact, for papers by Rahuman S. Malik‐Sheriff Breakdown of academic impact, for papers by Christian Tönsing Breakdown of academic impact, for papers by Jason Xu Breakdown of academic impact, for papers by Franz-Georg Wieland Breakdown of academic impact, for papers by Xiaojian Shao Breakdown of academic impact, for papers by Kaname Kojima
Rankless by CCL
2026