Francis J. Doyle

6.3k total citations · 1 hit paper
122 papers, 4.7k citations indexed

About

Francis J. Doyle is a scholar working on Molecular Biology, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Francis J. Doyle has authored 122 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 33 papers in Control and Systems Engineering and 20 papers in Computer Networks and Communications. Recurrent topics in Francis J. Doyle's work include Gene Regulatory Network Analysis (34 papers), Advanced Control Systems Optimization (29 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Francis J. Doyle is often cited by papers focused on Gene Regulatory Network Analysis (34 papers), Advanced Control Systems Optimization (29 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). Francis J. Doyle collaborates with scholars based in United States, United Kingdom and Switzerland. Francis J. Doyle's co-authors include Jörg Stelling, Charles D. Immanuel, John C. Doyle, Zoltán Szállási, Uwe Sauer, Mehmet Mercangöz, Kapil Gadkar, Eyal Dassau, Yongqiang Wang and Rudiyanto Gunawan and has published in prestigious journals such as Cell, Bioinformatics and PLoS ONE.

In The Last Decade

Francis J. Doyle

118 papers receiving 4.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robustness of Cellular Functions

2004 788 citations Francis J. Doyle et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francis J. Doyle United States	36	1.7k	848	511	488	475	122	4.7k
Yue Wang China	39	570 0.3×	1.5k 1.8×	103 0.2×	170 0.3×	80 0.2×	462	6.5k
Xiaofei He China	31	1.9k 1.1×	203 0.2×	77 0.2×	136 0.3×	177 0.4×	96	7.2k
Qian Cheng China	44	1.2k 0.7×	131 0.2×	105 0.2×	205 0.4×	330 0.7×	379	6.8k
Hiroshi G. Okuno Japan	41	267 0.2×	581 0.7×	201 0.4×	297 0.6×	32 0.1×	466	6.9k
Yong Ho Kim South Korea	38	1.0k 0.6×	340 0.4×	43 0.1×	293 0.6×	121 0.3×	241	4.8k
Katsuya Hirano Japan	38	2.2k 1.3×	75 0.1×	416 0.8×	410 0.8×	154 0.3×	224	5.4k
Takéo Takahashi Japan	35	381 0.2×	660 0.8×	53 0.1×	212 0.4×	84 0.2×	368	4.4k
Juergen Hahn United States	32	979 0.6×	1.3k 1.6×	47 0.1×	55 0.1×	274 0.6×	150	3.7k
Kazuhiko Takahashi Japan	42	2.2k 1.3×	136 0.2×	172 0.3×	238 0.5×	539 1.1×	339	7.7k
Michael A. Henson United States	45	1.9k 1.1×	2.9k 3.4×	25 0.0×	48 0.1×	167 0.4×	195	6.6k

Countries citing papers authored by Francis J. Doyle

Since Specialization

Citations

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

Fields of papers citing papers by Francis J. Doyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis J. Doyle. 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 Francis J. Doyle. The network helps show where Francis J. Doyle may publish in the future.

Co-authorship network of co-authors of Francis J. Doyle

This figure shows the co-authorship network connecting the top 25 collaborators of Francis J. Doyle. A scholar is included among the top collaborators of Francis J. Doyle 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 Francis J. Doyle. Francis J. Doyle 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

Daigle, Bernie J., Kelsey R. Dean, Yuanyang Zhang, et al.. (2015). Systems biology approach to understanding post-traumatic stress disorder. Molecular BioSystems. 11(4). 980–993. 16 indexed citations

Wang, Yongqiang, Felipe J. Núñez, & Francis J. Doyle. (2013). Statistical Analysis of the Pulse-Coupled Synchronization Strategy for Wireless Sensor Networks. IEEE Transactions on Signal Processing. 61(21). 5193–5204. 17 indexed citations

Wang, Yongqiang, Felipe Núñez, & Francis J. Doyle. (2012). Energy-Efficient Pulse-Coupled Synchronization Strategy Design for Wireless Sensor Networks Through Reduced Idle Listening. IEEE Transactions on Signal Processing. 60(10). 5293–5306. 75 indexed citations

August, Elias, Yongqiang Wang, Francis J. Doyle, James Lu, & Heinz Koeppl. (2011). Computationally implementable sufficient conditions for the synchronisation of coupled dynamical systems with time delays in the coupling. 52. 839–844. 1 indexed citations

Müller, E., Francis J. Doyle, Roger M. Nisbet, Peter J. Edmunds, & S.A.L.M. Kooijman. (2009). Dynamic energy budgets of syntrophic symbiotic relationships between heterotrophic hosts and photoautotrophic symbionts. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 153(2). S145–S145. 2 indexed citations

Müller, E., S.A.L.M. Kooijman, Peter J. Edmunds, Francis J. Doyle, & Roger M. Nisbet. (2009). Dynamic energy budgets in syntrophic symbiotic relationships between heterotrophic hosts and photoautotrophic symbionts. Journal of Theoretical Biology. 259(1). 44–57. 53 indexed citations

Sanft, Kevin R., et al.. (2008). Stochastic simulation and systems analysis of insulin-stimulated GLUT4 translocation.

Taylor, Stephanie R., Francis J. Doyle, & Linda Petzold. (2008). Oscillator Model Reduction Preserving the Phase Response: Application to the Circadian Clock. Biophysical Journal. 95(4). 1658–1673. 28 indexed citations

Shoemaker, Jason E. & Francis J. Doyle. (2008). Identifying Fragilities in Biochemical Networks: Robust Performance Analysis of Fas Signaling-Induced Apoptosis. Biophysical Journal. 95(6). 2610–2623. 20 indexed citations

10.

Sanft, Kevin R., et al.. (2008). Systems Analysis of the Insulin Signaling Pathway. IFAC Proceedings Volumes. 41(2). 15891–15896. 8 indexed citations

11.

Farré, Eva M., et al.. (2006). A novel computational model of the circadian clock in Arabidopsis that incorporates PRR7 and PRR9. Molecular Systems Biology. 2(1). 58–58. 179 indexed citations

12.

Gunawan, Rudiyanto, Yang Cao, Linda Petzold, & Francis J. Doyle. (2005). Sensitivity Analysis of Discrete Stochastic Systems. Biophysical Journal. 88(4). 2530–2540. 125 indexed citations

13.

Doyle, Francis J., et al.. (2005). Efficient Linear Programming Formulations of Model Predictive Control for Cross-Directional Control of a Paper Machine. Industrial & Engineering Chemistry Research. 44(7). 2134–2144. 3 indexed citations

14.

Xu, Ping, David Raden, Francis J. Doyle, & Anne S. Robinson. (2005). Analysis of unfolded protein response during single-chain antibody expression in Saccaromyces cerevisiae reveals different roles for BiP and PDI in folding. Metabolic Engineering. 7(4). 269–279. 61 indexed citations

15.

Raden, David, et al.. (2005). Analysis of cellular response to protein overexpression. PubMed. 152(4). 285–285. 12 indexed citations

16.

Gadkar, Kapil, Rudiyanto Gunawan, & Francis J. Doyle. (2005). Iterative approach to model identification of biological networks. BMC Bioinformatics. 6(1). 155–155. 122 indexed citations

17.

Gadkar, Kapil, Francis J. Doyle, Jeremy S. Edwards, & Radhakrishnan Mahadevan. (2004). Estimating optimal profiles of genetic alterations using constraint‐based models. Biotechnology and Bioengineering. 89(2). 243–251. 71 indexed citations

18.

Kremling, Andreas, Kapil Gadkar, Francis J. Doyle, et al.. (2004). A Benchmark for Methods in Reverse Engineering and Model Discrimination: Problem Formulation and Solutions. Genome Research. 14(9). 1773–1785. 100 indexed citations

19.

Allgöwer, Frank, et al.. (2003). Nonlinearity quantification for the optimal state feedback controller. 330–335. 6 indexed citations

20.

Doyle, Francis J. & Michael A. Henson. (1997). Nonlinear systems theory. Prentice-Hall, Inc eBooks. 111–147. 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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