Nick Monk
Impact in
- Modeling and Simulation top 2%
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- Developmental Biology and Gene Regulation
- Bioinformatics and Genomic Networks
- Plant Reproductive Biology
Papers in
-
- Gene Regulatory Network Analysis 21
- Developmental Biology and Gene Regulation 16
- RNA Research and Splicing 5
- Bioinformatics and Genomic Networks 5
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- Plant Molecular Biology Research 10
- Co-authors
- Philip K. Maini (5 shared papers)Johannes Jaeger (8 shared papers)Julian Lewis (1 shared paper)David Irons (4 shared papers)Eamonn A. Gaffney (2 shared papers)Karen M. Page (4 shared papers)Hiroshi Momiji (3 shared papers)Miguel Maroto (2 shared papers)
- Journals
- Bulletin of Mathematical Biology (8 papers)Journal of Theoretical Biology (3 papers)Development (3 papers)Physica D Nonlinear Phenomena (3 papers)Journal of Medical Genetics (2 papers)
- Partner nations
- United KingdomSlovakiaUnited States
In The Last Decade
Nick Monk
61 papers receiving 2.4k citations
Nick Monk's Hit Papers
Peers
Comparison fields: 5 of 140
- Modeling and Simulation 131
- Molecular Biology 1.7k
- Cell Biology 391
- Genetics 437
- Statistical and Nonlinear Physics 190
Countries citing papers authored by Nick Monk
This map shows the geographic impact of Nick Monk'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 Nick Monk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Monk more than expected).
Fields of papers citing papers by Nick Monk
This network shows the impact of papers produced by Nick Monk. 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 Nick Monk. The network helps show where Nick Monk may publish in the future.
Co-authors
The 25 scholars most cited alongside Nick Monk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oscillatory Expression of Hes1, p53, and NF-κB Driven by Transcriptional Time Delays Hit paper breakdown → | 2003 | 560 |
| 2 | 1996 | 388 | |
| 3 | 2005 | 96 | |
| 4 | 2014 | 94 | |
| 5 | 2008 | 91 | |
| 6 | 2006 | 82 | |
| 7 | 2008 | 76 | |
| 8 | 2019 | 72 | |
| 9 | 2003 | 63 | |
| 10 | 2015 | 61 | |
| 11 | 2003 | 60 | |
| 12 | 2008 | 60 | |
| 13 | 2012 | 54 | |
| 14 | 2010 | 54 | |
| 15 | 2010 | 53 | |
| 16 | 2014 | 52 | |
| 17 | 2015 | 51 | |
| 18 | 2008 | 42 | |
| 19 | 1986 | 40 | |
| 20 | 2013 | 37 |
About Nick Monk
Nick Monk is a scholar working on Molecular Biology, Plant Science, Cell Biology, Computer Networks and Communications and Genetics, having authored 63 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (21 papers), Developmental Biology and Gene Regulation (16 papers), Plant Molecular Biology Research (10 papers), Cellular Mechanics and Interactions (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers), RNA Research and Splicing (5 papers), Bioinformatics and Genomic Networks (5 papers) and Evolution and Genetic Dynamics (4 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Molecular Biology (1.7k citations), Cell Biology (391 citations), Genetics (437 citations) and Statistical and Nonlinear Physics (190 citations). Nick Monk has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include Philip K. Maini, Johannes Jaeger, Julian Lewis, David Irons, Eamonn A. Gaffney, Karen M. Page, Hiroshi Momiji, Miguel Maroto, Berta Verd and Andrew J. Fleming. Their work appears in journals such as Bulletin of Mathematical Biology, Journal of Theoretical Biology, Development, Physica D Nonlinear Phenomena and Journal of Medical Genetics.
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.