Péter Lénárt

4.4k total citations · 3 hit papers
38 papers, 3.4k citations indexed

About

Péter Lénárt is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Péter Lénárt has authored 38 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 24 papers in Cell Biology and 5 papers in Biophysics. Recurrent topics in Péter Lénárt's work include Microtubule and mitosis dynamics (21 papers), Nuclear Structure and Function (11 papers) and Cellular Mechanics and Interactions (8 papers). Péter Lénárt is often cited by papers focused on Microtubule and mitosis dynamics (21 papers), Nuclear Structure and Function (11 papers) and Cellular Mechanics and Interactions (8 papers). Péter Lénárt collaborates with scholars based in Germany, United States and Austria. Péter Lénárt's co-authors include Jan‐Michael Peters, Mark Petronczki, Jan Ellenberg, Norbert Kraut, Matthias Hoffmann, Wolfgang J. Rettig, Martin Steegmaier, Karl Mechtler, Jesse Lipp and B. Fiore and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Péter Lénárt

37 papers receiving 3.3k citations

Hit Papers

BI 2536, a Potent and Selective Inhibitor of Polo-like Ki... 2007 2026 2013 2019 2007 2007 2023 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
Péter Lénárt Germany 26 2.5k 2.1k 616 321 287 38 3.4k
Edward H. Hinchcliffe United States 22 1.8k 0.7× 1.6k 0.8× 495 0.8× 107 0.3× 197 0.7× 63 2.3k
Fulvia Verde United States 23 3.0k 1.2× 2.2k 1.0× 790 1.3× 166 0.5× 426 1.5× 34 3.8k
Chuanmao Zhang China 33 3.2k 1.3× 1.8k 0.9× 550 0.9× 122 0.4× 318 1.1× 89 4.1k
Edward T. Kipreos United States 34 3.5k 1.4× 930 0.4× 885 1.4× 255 0.8× 375 1.3× 51 4.5k
Richard W. Cole United States 30 3.3k 1.3× 3.1k 1.5× 697 1.1× 280 0.9× 767 2.7× 73 4.6k
Marvin E. Tanenbaum Netherlands 30 4.0k 1.6× 1.9k 0.9× 341 0.6× 143 0.4× 312 1.1× 50 4.8k
Eugen Kerkhoff Germany 26 1.6k 0.6× 1.3k 0.6× 395 0.6× 199 0.6× 72 0.3× 43 2.6k
Lynne Cassimeris United States 40 4.0k 1.6× 4.4k 2.1× 616 1.0× 131 0.4× 635 2.2× 82 5.7k
Lisa D. Belmont United States 23 1.9k 0.7× 1.4k 0.7× 635 1.0× 84 0.3× 110 0.4× 35 2.8k
Kiyoko Fukami Japan 12 2.2k 0.9× 1.1k 0.5× 380 0.6× 164 0.5× 95 0.3× 14 3.3k

Countries citing papers authored by Péter Lénárt

Since Specialization
Citations

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

Fields of papers citing papers by Péter Lénárt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Lénárt

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Lénárt. A scholar is included among the top collaborators of Péter Lénárt 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 Péter Lénárt. Péter Lénárt 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.
Welp, Luisa M., et al.. (2025). Phosphoproteomic identification of Mos–MAPK targets in meiotic cell cycle and asymmetric oocyte divisions. The Journal of Cell Biology. 224(12).
2.
Bäuerlein, Felix J.B., Luisa M. Welp, Benjamin H. Cooper, et al.. (2023). Mammalian oocytes store proteins for the early embryo on cytoplasmic lattices. Cell. 186(24). 5308–5327.e25. 68 indexed citations breakdown →
4.
Lénárt, Péter, et al.. (2020). Centriole foci persist in starfish oocytes despite Polo-like kinase 1 inactivation or loss of microtubule nucleation activity. Molecular Biology of the Cell. 31(9). 873–880. 6 indexed citations
5.
Novák, Tibor, Dávid Farkas, István Földi, et al.. (2019). Nanoscopy reveals the layered organization of the sarcomeric H-zone and I-band complexes. The Journal of Cell Biology. 219(1). 28 indexed citations
6.
Bischof, Johanna, et al.. (2018). Cytoplasmic flows in starfish oocytes are fully determined by cortical contractions. PLoS Computational Biology. 14(11). e1006588–e1006588. 37 indexed citations
7.
Callegari, Andrea, et al.. (2018). F-Actin nucleated on chromosomes coordinates their capture by microtubules in oocyte meiosis. The Journal of Cell Biology. 217(8). 2661–2674. 27 indexed citations
8.
Bun, Philippe, Serge Dmitrieff, Julio M. Belmonte, François Nédélec, & Péter Lénárt. (2018). A disassembly-driven mechanism explains F-actin-mediated chromosome transport in starfish oocytes. eLife. 7. 25 indexed citations
9.
Karreman, Matthia A., et al.. (2018). Correlated light and electron microscopy of cell division in large marine oocytes, eggs, and embryos. Methods in cell biology. 145. 293–313. 1 indexed citations
10.
Bischof, Johanna, Christoph A. Brand, Kálmán Somogyi, et al.. (2017). A cdk1 gradient guides surface contraction waves in oocytes. Nature Communications. 8(1). 849–849. 63 indexed citations
11.
Cook, Charles E., Janet Chênevert, Tomas Larsson, et al.. (2016). Old knowledge and new technologies allow rapid development of model organisms. Molecular Biology of the Cell. 27(6). 882–887. 10 indexed citations
12.
Somogyi, Kálmán, et al.. (2016). Live Imaging of Centriole Dynamics by Fluorescently Tagged Proteins in Starfish Oocyte Meiosis. Methods in molecular biology. 1457. 145–166. 11 indexed citations
13.
Lénárt, Péter, et al.. (2015). Nuclear roles for actin. Chromosoma. 124(4). 481–489. 15 indexed citations
14.
Mori, Masashi, Kálmán Somogyi, Hiroshi Kondo, et al.. (2014). An Arp2/3 Nucleated F-Actin Shell Fragments Nuclear Membranes at Nuclear Envelope Breakdown in Starfish Oocytes. Current Biology. 24(12). 1421–1428. 43 indexed citations
15.
Monnier, Nilah, Syuan-Ming Guo, Masashi Mori, et al.. (2012). Bayesian Approach to MSD-Based Analysis of Particle Motion in Live Cells. Biophysical Journal. 103(3). 616–626. 98 indexed citations
16.
Mori, Masashi, Nilah Monnier, Nathalie Daigle, et al.. (2011). Intracellular Transport by an Anchored Homogeneously Contracting F-Actin Meshwork. Current Biology. 21(7). 606–611. 52 indexed citations
17.
Field, Christine M. & Péter Lénárt. (2011). Bulk Cytoplasmic Actin and Its Functions in Meiosis and Mitosis. Current Biology. 21(19). R825–R830. 69 indexed citations
18.
Schmitz, Julia, Erwan Watrin, Péter Lénárt, Karl Mechtler, & Jan‐Michael Peters. (2007). Sororin Is Required for Stable Binding of Cohesin to Chromatin and for Sister Chromatid Cohesion in Interphase. Current Biology. 17(7). 630–636. 191 indexed citations
19.
Dassow, George von, et al.. (2004). Light Microscopy of Echinoderm Embryos. Methods in cell biology. 74. 371–409. 37 indexed citations
20.
Schmitt, Anja, Gustavo J. Gutierrez, Péter Lénárt, Jan Ellenberg, & Ángel R. Nebreda. (2002). Histone H3 phosphorylation during Xenopus oocyte maturation: regulation by the MAP kinase/p90Rsk pathway and uncoupling from DNA condensation. FEBS Letters. 518(1-3). 23–28. 25 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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