Nick Monk

3.6k citations
64 papers · 2.6k · h-index 26

Impact in

Papers in

    • Gene Regulatory Network Analysis 21
    • Developmental Biology and Gene Regulation 17
    • RNA Research and Splicing 5
    • Bioinformatics and Genomic Networks 5
    • Plant Reproductive Biology 4
    • Cellular Mechanics and Interactions 7

Nick Monk

63 papers receiving 2.5k citations

Peers

Nick Monk
Comparison fields: 5 of 141
  • Modeling and Simulation 132
  • Molecular Biology 1.7k
  • Cell Biology 403
  • Genetics 438
  • Statistical and Nonlinear Physics 192
Replace BRIAN C. GOODWIN with:
BRIAN C. GOODWIN United Kingdom
Katherine Chen United States
Saúl Ares Spain
Ovidiu Radulescu France
John Reinitz United States
Luis G. Morelli Germany
Ertuğrul M. Özbudak United States
Attila Csikász‐Nagy Hungary
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Citations per field
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BRIAN C. GOODWIN · 1×
Citations per year

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-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.

Border = papers with Nick Monk Line = papers co-authored together Nick Monk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003558
2 1996400
3 200598
4 201496
5 200893
6 200680
7 200876
8 201971
9 200366
10 200361
11 200861
12 201561
13 201055
14 201255
15 201454
16 201053
17 201552
18 200843
19 198640
20 201337

About Nick Monk

Nick Monk is a scholar working on Molecular Biology, Cell Biology, Plant Science, Modeling and Simulation and Computer Networks and Communications, having authored 64 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 (17 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 Plant Reproductive Biology (4 papers). The work is most often cited by research in Modeling and Simulation (132 citations), Molecular Biology (1.7k citations), Cell Biology (403 citations), Genetics (438 citations) and Statistical and Nonlinear Physics (192 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 Herman Lewis, David Irons, Karen M. Page, Eamonn A. Gaffney, Hiroshi Momiji, Berta Verd, Miguel Maroto and Andrew J. Fleming. Their work appears in journals such as Bulletin of Mathematical Biology, Physica D Nonlinear Phenomena, Journal of Theoretical Biology, Development and eLife.

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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