Francis J. Doyle
- Molecular Biology top 5%
- Control and Systems Engineering top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Genetics top 5%
- Co-authors
- Jörg StellingCharles D. ImmanuelZoltán SzállásiJohn C. DoyleUwe SauerMehmet MercangözKapil GadkarEyal Dassau
- Topics
- Gene Regulatory Network Analysis (34 papers)Advanced Control Systems Optimization (29 papers)Nonlinear Dynamics and Pattern Formation (17 papers)
- Cited by
- Control and Systems EngineeringEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Journals
- CellBioinformaticsPLoS ONE
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Francis J. Doyle
118 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 1.7k
- Control and Systems Engineering 848
- Endocrinology, Diabetes and Metabolism 511
- Surgery 488
- Genetics 475
Countries citing papers authored by Francis J. Doyle
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 10 | |
| 3 | 75 | |
| 4 | 19 | |
| 5 | 43 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 53 | |
| 9 | Stochastic simulation and systems analysis of insulin-stimulated GLUT4 translocation | 0 |
| 10 | 28 | |
| 11 | 20 | |
| 12 | 179 | |
| 13 | 46 | |
| 14 | 125 | |
| 15 | 12 | |
| 16 | 61 | |
| 17 | 61 | |
| 18 | 122 | |
| 19 | 100 | |
| 20 | Nonlinear systems theory | 30 |
About Francis J. Doyle
Francis J. Doyle is a scholar working on Biological Psychiatry, Control and Systems Engineering and Behavioral Neuroscience, having authored 122 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (34 papers), Advanced Control Systems Optimization (29 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). The work is most often cited by research in Control and Systems Engineering (848 citations), Endocrine and Autonomic Systems (243 citations) and Endocrinology, Diabetes and Metabolism (511 citations). Francis J. Doyle has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jörg Stelling, Charles D. Immanuel, Zoltán Szállási, John C. Doyle, Uwe Sauer, Mehmet Mercangöz, Kapil Gadkar, Eyal Dassau, Yongqiang Wang and Rudiyanto Gunawan. Their work appears in journals such as Cell, Bioinformatics and PLoS ONE.
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.