Patrick Meraldi

6.6k total citations · 1 hit paper
65 papers, 5.0k citations indexed

About

Patrick Meraldi is a scholar working on Cell Biology, Molecular Biology and Plant Science. According to data from OpenAlex, Patrick Meraldi has authored 65 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cell Biology, 59 papers in Molecular Biology and 14 papers in Plant Science. Recurrent topics in Patrick Meraldi's work include Microtubule and mitosis dynamics (61 papers), Genomics and Chromatin Dynamics (29 papers) and Chromosomal and Genetic Variations (11 papers). Patrick Meraldi is often cited by papers focused on Microtubule and mitosis dynamics (61 papers), Genomics and Chromatin Dynamics (29 papers) and Chromosomal and Genetic Variations (11 papers). Patrick Meraldi collaborates with scholars based in Switzerland, United Kingdom and United States. Patrick Meraldi's co-authors include Erich A. Nigg, Peter K. Sorger, Andrew M. Fry, Andrew D. McAinsh, Viji M. Draviam, Reiko Honda, Jiri Bartek, York‐Dieter Stierhof, Thibault Mayor and Alberto Toso and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Patrick Meraldi

63 papers receiving 5.0k citations

Hit Papers

Aurora-A overexpression reveals tetraploidization as a ma... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Meraldi Switzerland 35 4.2k 4.0k 1.2k 850 374 65 5.0k
Gordon K. Chan Canada 33 3.9k 0.9× 3.1k 0.8× 831 0.7× 745 0.9× 250 0.7× 53 4.4k
Mar Carmena United Kingdom 23 4.3k 1.0× 3.8k 0.9× 1.3k 1.1× 1.2k 1.4× 237 0.6× 35 5.3k
Hélder Maiato Portugal 40 4.8k 1.1× 4.6k 1.2× 594 0.5× 1.2k 1.4× 309 0.8× 104 5.8k
Jan‐Michael Peters Austria 20 4.5k 1.1× 2.5k 0.6× 628 0.5× 985 1.2× 414 1.1× 22 5.1k
Neil J. Ganem United States 19 3.6k 0.9× 3.0k 0.7× 1.1k 0.9× 653 0.8× 611 1.6× 32 4.9k
Andrew J. Holland United States 38 4.4k 1.1× 3.7k 0.9× 978 0.8× 950 1.1× 1.1k 2.9× 67 5.6k
Jonathan M.G. Higgins United States 33 2.7k 0.6× 1.5k 0.4× 425 0.4× 503 0.6× 180 0.5× 56 3.6k
Prasad V. Jallepalli United States 31 3.6k 0.9× 2.3k 0.6× 1.2k 1.0× 433 0.5× 553 1.5× 39 4.5k
Reiko Honda Japan 23 4.1k 1.0× 1.7k 0.4× 2.7k 2.3× 344 0.4× 230 0.6× 29 5.0k
Paola Vagnarelli United Kingdom 29 3.7k 0.9× 2.0k 0.5× 574 0.5× 1.1k 1.3× 356 1.0× 63 4.1k

Countries citing papers authored by Patrick Meraldi

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Meraldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Meraldi. 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 Patrick Meraldi. The network helps show where Patrick Meraldi may publish in the future.

Co-authorship network of co-authors of Patrick Meraldi

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Meraldi. A scholar is included among the top collaborators of Patrick Meraldi 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 Patrick Meraldi. Patrick Meraldi 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.
Meraldi, Patrick, et al.. (2024). Balancing Plk1 activity levels: The secret of synchrony between the cell and the centrosome cycle. BioEssays. 46(10). e2400048–e2400048. 1 indexed citations
2.
Meraldi, Patrick, et al.. (2024). Centrosome age breaks spindle size symmetry even in cells thought to divide symmetrically. The Journal of Cell Biology. 223(8).
3.
Meraldi, Patrick, et al.. (2023). Mild replication stress causes premature centriole disengagement via a sub-critical Plk1 activity under the control of ATR-Chk1. Nature Communications. 14(1). 6088–6088. 7 indexed citations
4.
Meraldi, Patrick, et al.. (2022). PLK1 controls centriole distal appendage formation and centrobin removal via independent pathways. Journal of Cell Science. 135(8). 4 indexed citations
5.
Burroughs, Nigel J., et al.. (2022). Evidence for a HURP/EB free mixed-nucleotide zone in kinetochore-microtubules. Nature Communications. 13(1). 4704–4704. 9 indexed citations
6.
Liaudet, Nicolas, et al.. (2021). WDR62 localizes katanin at spindle poles to ensure synchronous chromosome segregation. The Journal of Cell Biology. 220(8). 12 indexed citations
7.
Berndsen, Robert H., Andrea Weiss, Magdalena Rausch, et al.. (2019). Anti-angiogenic effects of crenolanib are mediated by mitotic modulation independently of PDGFR expression. British Journal of Cancer. 121(2). 139–149. 13 indexed citations
8.
Wilhelm, Therese, et al.. (2019). Mild replication stress causes chromosome mis-segregation via premature centriole disengagement. Nature Communications. 10(1). 3585–3585. 87 indexed citations
9.
Smith, Christopher A., et al.. (2018). Mitotic live-cell imaging at different timescales. Methods in cell biology. 145. 1–27. 5 indexed citations
10.
Chapard, Christophe, et al.. (2014). The TRAF-interacting protein (TRAIP) is a regulator of the spindle assembly checkpoint. Journal of Cell Science. 127(Pt 24). 5149–56. 26 indexed citations
11.
Mchedlishvili, Nunu, et al.. (2013). Nonautonomous Movement of Chromosomes in Mitosis. Developmental Cell. 27(1). 60–71. 40 indexed citations
12.
Charnley, Mirren, et al.. (2013). Effect of Cell Shape and Dimensionality on Spindle Orientation and Mitotic Timing. PLoS ONE. 8(6). e66918–e66918. 13 indexed citations
13.
Meraldi, Patrick. (2011). Keeping kinetochores on track. European Journal of Cell Biology. 91(2). 103–106.
14.
Thoma, Clemens, Alberto Toso, Patrick Meraldi, & Wilhelm Krek. (2011). Mechanisms of aneuploidy and its suppression by tumour suppressor proteins. Swiss Medical Weekly. 141(910). w13170–w13170. 8 indexed citations
15.
Meraldi, Patrick, et al.. (2011). The Spindle Assembly Checkpoint: Clock or Domino?. Results and problems in cell differentiation. 53. 75–91. 10 indexed citations
16.
McAinsh, Andrew D. & Patrick Meraldi. (2011). The CCAN complex: Linking centromere specification to control of kinetochore–microtubule dynamics. Seminars in Cell and Developmental Biology. 22(9). 946–952. 34 indexed citations
17.
Amaro, Ana C., Catarina P. Samora, René Holtackers, et al.. (2010). Molecular control of kinetochore-microtubule dynamics and chromosome oscillations. Nature Cell Biology. 12(4). 319–329. 124 indexed citations
18.
Klebig, Christiane, et al.. (2009). Analysing Kinetochore Function in Human Cells: Spindle Checkpoint and Chromosome Congression. Methods in molecular biology. 545. 205–220. 2 indexed citations
19.
McAinsh, Andrew D., Patrick Meraldi, Viji M. Draviam, Alberto Toso, & Peter K. Sorger. (2006). The human kinetochore proteins Nnf1R and Mcm21R are required for accurate chromosome segregation. The EMBO Journal. 25(17). 4033–4049. 65 indexed citations
20.
Meraldi, Patrick & Peter K. Sorger. (2005). A dual role for Bub1 in the spindle checkpoint and chromosome congression. The EMBO Journal. 24(8). 1621–1633. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026