Martijn J. Moné

1.8k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Martijn J. Moné is a scholar working on Molecular Biology, Small Animals and Cell Biology. According to data from OpenAlex, Martijn J. Moné has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Small Animals and 2 papers in Cell Biology. Recurrent topics in Martijn J. Moné's work include DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers) and Gene Regulatory Network Analysis (3 papers). Martijn J. Moné is often cited by papers focused on DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers) and Gene Regulatory Network Analysis (3 papers). Martijn J. Moné collaborates with scholars based in Netherlands, United Kingdom and Germany. Martijn J. Moné's co-authors include Roel van Driel, Marcel Volker, Wim Vermeulen, A.A. van Zeeland, Leon H.F. Mullenders, Jan H.J. Hoeijmakers, Anneke van Hoffen, Wouter Schul, Parimal Karmakar and Erik M. M. Manders and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Martijn J. Moné

17 papers receiving 1.3k citations

Hit Papers

Sequential Assembly of the Nucleotide Excision Repair Fac... 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martijn J. Moné Netherlands 13 1.2k 305 215 137 78 17 1.3k
Ian C. Chute Canada 14 1.2k 1.0× 261 0.9× 89 0.4× 158 1.2× 37 0.5× 20 1.4k
Hervé Menoni France 19 1.3k 1.0× 154 0.5× 161 0.7× 123 0.9× 136 1.7× 24 1.4k
Steven M. Shell United States 16 1000 0.8× 223 0.7× 210 1.0× 121 0.9× 37 0.5× 25 1.1k
Swetansu Pattnaik United States 9 662 0.5× 259 0.8× 401 1.9× 124 0.9× 79 1.0× 12 979
Maria Svetlova Russia 17 807 0.7× 262 0.9× 181 0.8× 81 0.6× 87 1.1× 40 1.1k
Luzviminda Feeney United States 12 825 0.7× 304 1.0× 306 1.4× 43 0.3× 44 0.6× 13 994
Chunhua Yan United States 16 459 0.4× 162 0.5× 205 1.0× 132 1.0× 44 0.6× 35 773
Céline Baldeyron France 11 801 0.7× 159 0.5× 231 1.1× 111 0.8× 55 0.7× 15 1.0k
Marina K. Ayrapetov United States 13 1.3k 1.0× 117 0.4× 316 1.5× 69 0.5× 89 1.1× 21 1.4k
John B. Leppard United States 7 1.2k 0.9× 179 0.6× 418 1.9× 65 0.5× 67 0.9× 8 1.2k

Countries citing papers authored by Martijn J. Moné

Since Specialization
Citations

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

Fields of papers citing papers by Martijn J. Moné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martijn J. Moné

This figure shows the co-authorship network connecting the top 25 collaborators of Martijn J. Moné. A scholar is included among the top collaborators of Martijn J. Moné 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 Martijn J. Moné. Martijn J. Moné is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Llewellyn, Samantha V., Ali Kermanizadeh, Victor Chibueze Ude, et al.. (2022). Assessing the transferability and reproducibility of 3D in vitro liver models from primary human multi-cellular microtissues to cell-line based HepG2 spheroids. Toxicology in Vitro. 85. 105473–105473. 5 indexed citations
2.
Snijders, Kirsten E, Zsuzsanna Táncos, István Bock, et al.. (2021). Fluorescent tagging of endogenous Heme oxygenase-1 in human induced pluripotent stem cells for high content imaging of oxidative stress in various differentiated lineages. Archives of Toxicology. 95(10). 3285–3302. 16 indexed citations
3.
Llewellyn, Samantha V., Marije Niemeijer, Penny Nymark, et al.. (2021). In Vitro Three‐Dimensional Liver Models for Nanomaterial DNA Damage Assessment. Small. 17(15). e2006055–e2006055. 25 indexed citations
4.
Graepel, Rabea, Bas ter Braak, Sylvia E. Escher, et al.. (2019). Paradigm shift in safety assessment using new approach methods: The EU-ToxRisk strategy. Current Opinion in Toxicology. 15. 33–39. 7 indexed citations
5.
Bruggeman, Frank J., et al.. (2015). Multiplex Eukaryotic Transcription (In)activation: Timing, Bursting and Cycling of a Ratchet Clock Mechanism. PLoS Computational Biology. 11(4). e1004236–e1004236. 18 indexed citations
6.
Olivier, Brett G., Maciej J. Swat, & Martijn J. Moné. (2015). Modeling and Simulation Tools: From Systems Biology to Systems Medicine. Methods in molecular biology. 1386. 441–463. 14 indexed citations
7.
Kolodkin, Alexey, Frank J. Bruggeman, Nick Plant, et al.. (2010). Design principles of nuclear receptor signaling: how complex networking improves signal transduction. Molecular Systems Biology. 6(1). 446–446. 22 indexed citations
8.
Luijsterburg, Martijn S., Audrey M. Gourdin, Antonio Z. Politi, et al.. (2010). Stochastic and reversible assembly of a multiprotein DNA repair complex ensures accurate target site recognition and efficient repair. The Journal of Cell Biology. 189(3). 445–463. 101 indexed citations
9.
Degenhardt, Tatjana, et al.. (2009). Population-Level Transcription Cycles Derive from Stochastic Timing of Single-Cell Transcription. 138(3). 489–501. 1 indexed citations
10.
Degenhardt, Tatjana, et al.. (2009). Population-Level Transcription Cycles Derive from Stochastic Timing of Single-Cell Transcription. 138(33). 489–501. 1 indexed citations
11.
Westerhoff, Hans V., Alexey Kolodkin, Stephen J. Wilkinson, et al.. (2008). Systems biology towards life in silico: mathematics of the control of living cells. Journal of Mathematical Biology. 58(1-2). 7–34. 57 indexed citations
12.
Politi, Antonio Z., Martijn J. Moné, Adriaan B. Houtsmuller, et al.. (2005). Mathematical Modeling of Nucleotide Excision Repair Reveals Efficiency of Sequential Assembly Strategies. Molecular Cell. 19(5). 679–690. 52 indexed citations
13.
Moné, Martijn J., Tytus Bernaś, Christoffel Dinant, et al.. (2004). In vivo dynamics of chromatin-associated complex formation in mammalian nucleotide excision repair. Proceedings of the National Academy of Sciences. 101(45). 15933–15937. 51 indexed citations
14.
Rademakers, Suzanne, Marcel Volker, Deborah Hoogstraten, et al.. (2003). Xeroderma Pigmentosum Group A Protein Loads as a Separate Factor onto DNA Lesions. Molecular and Cellular Biology. 23(16). 5755–5767. 125 indexed citations
15.
Verschure, Pernette J., Ineke van der Kraan, Jorrit M. Enserink, et al.. (2002). Large-scale Chromatin Organization and the Localization of Proteins Involved in Gene Expression in Human Cells. Journal of Histochemistry & Cytochemistry. 50(10). 1303–1312. 35 indexed citations
16.
Volker, Marcel, Martijn J. Moné, Parimal Karmakar, et al.. (2001). Sequential Assembly of the Nucleotide Excision Repair Factors In Vivo. Molecular Cell. 8(1). 213–224. 643 indexed citations breakdown →
17.
Moné, Martijn J., Marcel Volker, Osamu Nikaido, et al.. (2001). Local UV‐induced DNA damage in cell nuclei results in local transcription inhibition. EMBO Reports. 2(11). 1013–1017. 167 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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