Dirk Fey

2.1k total citations
44 papers, 1.4k citations indexed

About

Dirk Fey is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dirk Fey has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dirk Fey's work include Gene Regulatory Network Analysis (13 papers), Bioinformatics and Genomic Networks (11 papers) and Computational Drug Discovery Methods (7 papers). Dirk Fey is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), Bioinformatics and Genomic Networks (11 papers) and Computational Drug Discovery Methods (7 papers). Dirk Fey collaborates with scholars based in Ireland, United States and Germany. Dirk Fey's co-authors include Boris Ν. Kholodenko, David B. West, Stephen C. Woods, David R. Croucher, Walter Kölch, Jordan F. Hastings, Thomas R. Cox, Joanna N. Skhinas, Maciej Dobrzyński and Hyunryul Ryu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Scientific Reports.

In The Last Decade

Dirk Fey

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dirk Fey Ireland 17 791 246 196 190 161 44 1.4k
Guanghua Xiao United States 26 1.3k 1.7× 101 0.4× 113 0.6× 270 1.4× 157 1.0× 66 2.4k
James Leonard United States 20 1.6k 2.0× 127 0.5× 116 0.6× 201 1.1× 158 1.0× 31 2.9k
Mingxia Huang United States 22 2.2k 2.8× 131 0.5× 276 1.4× 312 1.6× 197 1.2× 49 2.9k
Ximena Opitz-Araya United States 8 1.4k 1.8× 274 1.1× 333 1.7× 383 2.0× 86 0.5× 8 2.0k
Claude Gérard Belgium 18 822 1.0× 192 0.8× 205 1.0× 166 0.9× 85 0.5× 37 1.4k
Fabien Campagne United States 22 1.9k 2.4× 91 0.4× 142 0.7× 110 0.6× 252 1.6× 48 2.9k
Hadara Rubinfeld Israel 18 780 1.0× 60 0.2× 164 0.8× 226 1.2× 97 0.6× 27 1.3k
Gene Cutler United States 13 598 0.8× 141 0.6× 52 0.3× 167 0.9× 69 0.4× 18 1.1k
Celia P. Briscoe United Kingdom 18 844 1.1× 103 0.4× 234 1.2× 60 0.3× 218 1.4× 28 1.4k
Graham Ladds United Kingdom 23 1.2k 1.5× 56 0.2× 161 0.8× 115 0.6× 69 0.4× 99 1.7k

Countries citing papers authored by Dirk Fey

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Fey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Fey

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Fey. A scholar is included among the top collaborators of Dirk Fey 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 Dirk Fey. Dirk Fey 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.
Özkırımlı, Elif, Stefanie Bendels, Candice Jamois, et al.. (2025). Enhancing Severe Neutropenia Prediction: PKPD ‐Informed Labeling for Machine Learning Models Trained on Real‐World Data. Clinical Pharmacology & Therapeutics. 119(2). 427–436.
2.
Timilsina, Mohan, et al.. (2024). Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Computers in Biology and Medicine. 174. 108398–108398. 1 indexed citations
3.
Timilsina, Mohan, Dirk Fey, Luca Costabello, et al.. (2023). Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. Journal of Biomedical Informatics. 144. 104424–104424. 5 indexed citations
4.
Kölch, Walter, et al.. (2023). A Systems Biology Approach to Understand the Racial Disparities in Colorectal Cancer. Cancer Research Communications. 4(1). 103–117.
5.
Zhang, Tongli, Peter L. Bonate, Limei Cheng, et al.. (2022). Two heads are better than one: current landscape of integrating QSP and machine learning. Journal of Pharmacokinetics and Pharmacodynamics. 49(1). 5–18. 40 indexed citations
6.
García-Gutiérrez, Lucia, et al.. (2021). BAX and SMAC regulate bistable properties of the apoptotic caspase system. Scientific Reports. 11(1). 20 indexed citations
7.
Nováček, Vít, David Matallanas, Alfonso Blanco, et al.. (2020). Accurate prediction of kinase-substrate networks using knowledge graphs. PLoS Computational Biology. 16(12). e1007578–e1007578. 17 indexed citations
8.
Hastings, Jordan F., et al.. (2020). Applications of personalised signalling network models in precision oncology. Pharmacology & Therapeutics. 212. 107555–107555. 10 indexed citations
9.
Commins, Seán & Dirk Fey. (2019). Understanding the role of distance, direction and cue salience in an associative model of landmark learning. Scientific Reports. 9(1). 2026–2026. 4 indexed citations
10.
Degasperi, Andrea, Dirk Fey, & Boris Ν. Kholodenko. (2017). Performance of objective functions and optimisation procedures for parameter estimation in system biology models. npj Systems Biology and Applications. 3(1). 20–20. 40 indexed citations
11.
Fey, Dirk, Edita Aksamitiene, Anatoly Kiyatkin, & Boris Ν. Kholodenko. (2017). Modeling of Receptor Tyrosine Kinase Signaling: Computational and Experimental Protocols. Methods in molecular biology. 1636. 417–453. 10 indexed citations
12.
Anderson, Warren D., et al.. (2015). Multiscale Model of Dynamic Neuromodulation Integrating Neuropeptide-Induced Signaling Pathway Activity with Membrane Electrophysiology. Biophysical Journal. 108(1). 211–223. 5 indexed citations
13.
Ryu, Hyunryul, Minhwan Chung, Maciej Dobrzyński, et al.. (2015). Frequency modulation of ERK activation dynamics rewires cell fate. Molecular Systems Biology. 11(11). 838–838. 166 indexed citations
14.
Nguyen, Lan K., Maciej Dobrzyński, Dirk Fey, & Boris Ν. Kholodenko. (2014). Polyubiquitin chain assembly and organization determine the dynamics of protein activation and degradation. Frontiers in Physiology. 5. 4–4. 27 indexed citations
15.
Fey, Dirk, et al.. (2013). Hippocampal contribution to vector model \nhypothesis during cue-dependent navigation. Maynooth University ePrints and eTheses Archive (Maynooth University). 9 indexed citations
16.
Nikonova, Elena, M. A. Tsyganov, Walter Kölch, Dirk Fey, & Boris Ν. Kholodenko. (2013). Control of the G-protein cascade dynamics by GDP dissociation inhibitors. Molecular BioSystems. 9(10). 2454–2462. 13 indexed citations
17.
Fey, Dirk, David R. Croucher, Walter Kölch, & Boris Ν. Kholodenko. (2012). Crosstalk and Signaling Switches in Mitogen-Activated Protein Kinase Cascades. Frontiers in Physiology. 3. 355–355. 132 indexed citations
18.
Fey, Dirk, Seán Commins, & Eric Bullinger. (2010). Feedback control strategies for spatial navigation revealed by dynamic modelling of learning in the Morris water maze. Journal of Computational Neuroscience. 30(2). 447–454. 2 indexed citations
19.
Bullinger, Eric, Dirk Fey, Marcello Farina, & Rolf Findeisen. (2008). Identification of biochemical reaction networks: an observer based approach. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 56(5). 269–279. 4 indexed citations
20.
Conzelmann, H., Dirk Fey, & Ernst D Gilles. (2008). Exact model reduction of combinatorial reaction networks. BMC Systems Biology. 2(1). 78–78. 38 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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