Nick Monk

3.6k total citations · 1 hit paper
60 papers, 2.4k citations indexed

About

Nick Monk is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Nick Monk has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Plant Science and 9 papers in Cell Biology. Recurrent topics in Nick Monk's work include Gene Regulatory Network Analysis (19 papers), Developmental Biology and Gene Regulation (16 papers) and Plant Molecular Biology Research (10 papers). Nick Monk is often cited by papers focused on Gene Regulatory Network Analysis (19 papers), Developmental Biology and Gene Regulation (16 papers) and Plant Molecular Biology Research (10 papers). Nick Monk collaborates with scholars based in United Kingdom, Slovakia and New Zealand. Nick Monk's 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 Natasha S. Savage and has published in prestigious journals such as Cell, PLoS ONE and Development.

In The Last Decade

Nick Monk

58 papers receiving 2.3k citations

Hit Papers

Oscillatory Expression of Hes1, p53, and NF-κB Driven by ... 2003 2026 2010 2018 2003 100 200 300 400 500
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.

  1. Oscillatory Expression of Hes1, p53, and NF-κB Driven by Transcriptional Time Delays
    2003 530 citations Nick Monk Current Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Monk United Kingdom 24 1.7k 495 408 375 348 60 2.4k
Brian Goodwin United Kingdom 20 953 0.6× 348 0.7× 260 0.6× 149 0.4× 311 0.9× 50 2.0k
Joseph R. Pomerening United States 12 1.5k 0.9× 267 0.5× 221 0.5× 558 1.5× 105 0.3× 16 1.9k
Markus R. Owen United Kingdom 32 1.1k 0.7× 640 1.3× 220 0.5× 439 1.2× 354 1.0× 80 3.2k
Andrew B. Goryachev United Kingdom 31 1.7k 1.0× 296 0.6× 243 0.6× 990 2.6× 373 1.1× 70 2.8k
Katherine Chen United States 21 2.4k 1.5× 215 0.4× 320 0.8× 539 1.4× 103 0.3× 79 3.4k
Sandeep Krishna India 32 1.7k 1.0× 181 0.4× 672 1.6× 98 0.3× 142 0.4× 87 2.5k
John Reinitz United States 35 3.6k 2.2× 644 1.3× 828 2.0× 360 1.0× 81 0.2× 85 4.2k
Denis Thieffry France 46 6.2k 3.8× 538 1.1× 1.2k 2.9× 228 0.6× 101 0.3× 141 7.6k
Stefano Di Talia United States 24 1.9k 1.1× 221 0.4× 204 0.5× 703 1.9× 61 0.2× 51 2.4k
Ramon Grima United Kingdom 33 2.2k 1.4× 201 0.4× 601 1.5× 156 0.4× 79 0.2× 106 2.9k

Countries citing papers authored by Nick Monk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nick Monk

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Monk. A scholar is included among the top collaborators of Nick Monk 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 Nick Monk. Nick Monk 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.
Kadiyala, Usha, David Sprinzak, Nick Monk, et al.. (2025). From genes to patterns: five key dynamical systems concepts to decode developmental regulatory mechanisms. Development. 152(14). 1 indexed citations
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Monk, Nick, et al.. (2021). Re-Entrant Corner for a White-Metzner Fluid. Fluids. 6(7). 241–241. 1 indexed citations
5.
England, Samantha J., Nick Monk, Sarah Baxendale, et al.. (2019). Anteroposterior patterning of the zebrafish ear through Fgf- and Hh-dependent regulation of hmx3a expression. PLoS Genetics. 15(4). e1008051–e1008051. 13 indexed citations
6.
Verd, Berta, Nick Monk, & Johannes Jaeger. (2019). Modularity, criticality, and evolvability of a developmental gene regulatory network. eLife. 8. 63 indexed citations
7.
Jaeger, Johannes & Nick Monk. (2015). Everything flows. EMBO Reports. 16(9). 1064–1067. 23 indexed citations
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Jaeger, Johannes, David Irons, & Nick Monk. (2012). The Inheritance of Process: A Dynamical Systems Approach. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 318(8). 591–612. 49 indexed citations
10.
Benítez, Mariana, Nick Monk, & Elena Álvarez‐Buylla. (2011). Epidermal patterning in Arabidopsis: models make a difference. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 316B(4). 241–253. 24 indexed citations
11.
Backhaus, Andreas, Asuka Kuwabara, Marion Bauch, et al.. (2010). leafprocessor: a new leaf phenotyping tool using contour bending energy and shape cluster analysis. New Phytologist. 187(1). 251–261. 48 indexed citations
12.
Irons, David, Alexandre Wojcinski, Bruno Glise, & Nick Monk. (2010). Robustness of positional specification by the Hedgehog morphogen gradient. Developmental Biology. 342(2). 180–193. 22 indexed citations
13.
Momiji, Hiroshi & Nick Monk. (2008). Oscillatory Expression of Hes Family Transcription Factors: Insights from Mathematical Modelling. Advances in experimental medicine and biology. 641. 72–87. 3 indexed citations
14.
Bennett, Malcolm J. & Nick Monk. (2008). The flowering of systems approaches in plant and crop biology. New Phytologist. 179(3). 567–568. 6 indexed citations
15.
Gaffney, Eamonn A. & Nick Monk. (2006). Gene Expression Time Delays and Turing Pattern Formation Systems. Bulletin of Mathematical Biology. 68(1). 99–130. 79 indexed citations
16.
Monk, Nick. (2004). Development: Dissecting the Dynamics of Segment Determination. Current Biology. 14(17). R705–R707. 1 indexed citations
17.
Page, Karen M., Philip K. Maini, Nick Monk, & Claudio D. Stern. (2001). A Model of Primitive Streak Initiation in the Chick Embryo. Journal of Theoretical Biology. 208(4). 419–438. 8 indexed citations
18.
Monk, Nick. (1998). Restricted-range Gradients and Travelling Fronts in a Model of Juxtacrine Cell Relay. Bulletin of Mathematical Biology. 60(5). 901–918. 23 indexed citations
19.
Monk, Nick. (1997). Cell communities and robustness in development. Bulletin of Mathematical Biology. 59(6). 1183–1189. 6 indexed citations
20.
Monk, Nick, et al.. (1996). Pattern Formation by Lateral Inhibition with Feedback: a Mathematical Model of Delta-Notch Intercellular Signalling. Journal of Theoretical Biology. 183(4). 429–446. 363 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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