Simone Reber

5.7k total citations · 2 hit papers
34 papers, 4.2k citations indexed

About

Simone Reber is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Simone Reber has authored 34 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 24 papers in Cell Biology and 6 papers in Biophysics. Recurrent topics in Simone Reber's work include Microtubule and mitosis dynamics (22 papers), Protist diversity and phylogeny (6 papers) and Genomics and Chromatin Dynamics (5 papers). Simone Reber is often cited by papers focused on Microtubule and mitosis dynamics (22 papers), Protist diversity and phylogeny (6 papers) and Genomics and Chromatin Dynamics (5 papers). Simone Reber collaborates with scholars based in Germany, United States and Australia. Simone Reber's co-authors include S. Matzku, Martin Hofmann‐Apitius, Michael Knop, Christof Taxis, Ursula Günthert, Carsten Janke, Hiromi Maekawa, Maria M. Magiera, Étienne Schwob and Helmut Ponta and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Simone Reber

32 papers receiving 4.2k citations

Hit Papers

A versatile toolbox for P... 1991 2026 2002 2014 2004 1991 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Simone Reber 3.3k 2.2k 647 611 267 34 4.2k
Martin Steegmaier 2.4k 0.7× 2.1k 1.0× 824 1.3× 455 0.7× 125 0.5× 24 3.6k
Rob M.F. Wolthuis 2.8k 0.9× 1.2k 0.5× 719 1.1× 253 0.4× 143 0.5× 66 3.4k
Toshiki Itoh 2.9k 0.9× 1.9k 0.9× 325 0.5× 255 0.4× 148 0.6× 75 4.0k
Shigeko Yamashiro 2.7k 0.8× 3.2k 1.5× 576 0.9× 761 1.2× 107 0.4× 65 5.3k
James D. Orth 1.9k 0.6× 2.1k 0.9× 551 0.9× 474 0.8× 65 0.2× 31 3.3k
Jonathan M.G. Higgins 2.7k 0.8× 1.5k 0.7× 425 0.7× 278 0.5× 503 1.9× 56 3.6k
Yoshihiko Yamakita 1.8k 0.5× 2.0k 0.9× 376 0.6× 477 0.8× 80 0.3× 40 3.3k
José M. de Pereda 2.0k 0.6× 2.2k 1.0× 288 0.4× 2.0k 3.3× 125 0.5× 58 4.2k
Dagmar Diekmann 3.5k 1.1× 2.3k 1.1× 553 0.9× 856 1.4× 88 0.3× 9 5.1k
Jan Gettemans 2.1k 0.6× 1.2k 0.6× 319 0.5× 241 0.4× 94 0.4× 94 3.3k

Countries citing papers authored by Simone Reber

Since Specialization
Citations

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

Fields of papers citing papers by Simone Reber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Reber

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Reber. A scholar is included among the top collaborators of Simone Reber 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 Simone Reber. Simone Reber 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.
Kim, Kyoohyun, Carsten Hoege, Benjamin M. Lorton, et al.. (2025). Conserved nucleocytoplasmic density homeostasis drives cellular organization across eukaryotes. Nature Communications. 16(1). 7597–7597. 2 indexed citations
2.
Halavatyi, Aliaksandr, et al.. (2025). Cell state-specific cytoplasmic density controls spindle architecture and scaling. Nature Cell Biology. 27(6). 959–971.
3.
Kuropka, Benno, et al.. (2025). Mechanistic basis of temperature adaptation in microtubule dynamics across frog species. Current Biology. 35(3). 612–628.e6. 3 indexed citations
4.
Ng, Sheung Chun, et al.. (2023). Barrier properties of Nup98 FG phases ruled by FG motif identity and inter-FG spacer length. Nature Communications. 14(1). 747–747. 28 indexed citations
5.
Reber, Simone, Mirko Singer, & Friedrich Frischknecht. (2023). Cytoskeletal dynamics in parasites. Current Opinion in Cell Biology. 86. 102277–102277. 2 indexed citations
6.
Meca, Esteban, Anatol W. Fritsch, Juan M. Iglesias‐Artola, Simone Reber, & Barbara Wagner. (2023). Predicting disordered regions driving phase separation of proteins under variable salt concentration. Frontiers in Physics. 11. 3 indexed citations
7.
Amini, Shahrouz, Tingting Zhu, Kyoohyun Kim, et al.. (2023). Calcitic Prisms of The Giant Seashell Pinna Nobilis Form Light Guide Arrays. Advanced Materials. 35(39). e2304166–e2304166. 3 indexed citations
8.
Hirst, William G., et al.. (2022). Purification of functional Plasmodium falciparum tubulin allows for the identification of parasite-specific microtubule inhibitors. Current Biology. 32(4). 919–926.e6. 19 indexed citations
9.
Cavazza, Tommaso, et al.. (2021). Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling. The Journal of Cell Biology. 221(1). 12 indexed citations
10.
Kim, Kyoohyun, et al.. (2021). The Xenopus spindle is as dense as the surrounding cytoplasm. Developmental Cell. 56(7). 967–975.e5. 14 indexed citations
11.
Hirst, William G., et al.. (2020). In Vitro Reconstitution and Imaging of Microtubule Dynamics by Fluorescence and Label-free Microscopy. STAR Protocols. 1(3). 100177–100177. 12 indexed citations
12.
Granada, Adrián E., Jacob Stewart-Ornstein, Nils Blüthgen, et al.. (2020). The effects of proliferation status and cell cycle phase on the responses of single cells to chemotherapy. Molecular Biology of the Cell. 31(8). 845–857. 31 indexed citations
13.
Kapoor, Varun, et al.. (2019). MTrack: Automated Detection, Tracking, and Analysis of Dynamic Microtubules. Scientific Reports. 9(1). 3794–3794. 25 indexed citations
14.
Reber, Simone & Anthony A. Hyman. (2015). Emergent Properties of the Metaphase Spindle. Cold Spring Harbor Perspectives in Biology. 7(7). a015784–a015784. 33 indexed citations
15.
Widlund, Per O., Marija Podolski, Simone Reber, et al.. (2012). One-step purification of assembly-competent tubulin from diverse eukaryotic sources. Molecular Biology of the Cell. 23(22). 4393–4401. 102 indexed citations
16.
Widlund, Per O., Silvano Piazza, Débora Rosa Bublik, et al.. (2012). GTSE1 Is a Microtubule Plus-End Tracking Protein That Regulates EB1-Dependent Cell Migration. PLoS ONE. 7(12). e51259–e51259. 48 indexed citations
17.
Reber, Simone. (2011). Isolation of Centrosomes from Cultured Cells. Methods in molecular biology. 777. 107–116. 13 indexed citations
18.
Janke, Carsten, Maria M. Magiera, Christof Taxis, et al.. (2004). A versatile toolbox for PCR‐based tagging of yeast genes: new fluorescent proteins, more markers and promoter substitution cassettes. Yeast. 21(11). 947–962. 1645 indexed citations breakdown →
19.
Seiter, Simone, R. Arch, Simone Reber, et al.. (1993). Prevention of tumor metastasis formation by anti-variant CD44.. The Journal of Experimental Medicine. 177(2). 443–455. 289 indexed citations
20.
Reber, Simone, S. Matzku, Ursula Günthert, et al.. (1990). Retardation of metastatic tumor growth after immunization with metastasis‐specific monoclonal antibodies. International Journal of Cancer. 46(5). 919–927. 61 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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