Veit Schubert

6.1k total citations
134 papers, 4.3k citations indexed

About

Veit Schubert is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Veit Schubert has authored 134 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Plant Science, 91 papers in Molecular Biology and 13 papers in Cell Biology. Recurrent topics in Veit Schubert's work include Chromosomal and Genetic Variations (86 papers), Genomics and Chromatin Dynamics (36 papers) and Plant Molecular Biology Research (32 papers). Veit Schubert is often cited by papers focused on Chromosomal and Genetic Variations (86 papers), Genomics and Chromatin Dynamics (36 papers) and Plant Molecular Biology Research (32 papers). Veit Schubert collaborates with scholars based in Germany, Czechia and Brazil. Veit Schubert's co-authors include Ingo Schubert, Andreas Houben, Jörg Fuchs, Armin Meister, Inna Lermontová, Jir̆ı́ Macas, Klaus Weißhart, Stefan Heckmann, André Marques and Suhua Feng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Veit Schubert

128 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veit Schubert Germany 39 3.3k 2.9k 427 417 282 134 4.3k
Andreas Houben Germany 53 7.4k 2.3× 5.8k 2.0× 1.4k 3.3× 553 1.3× 731 2.6× 264 9.1k
Marisa S. Otegui United States 51 4.6k 1.4× 4.3k 1.5× 156 0.4× 1.6k 3.9× 195 0.7× 123 6.9k
Nobuhiro Tsutsumi Japan 50 4.9k 1.5× 4.1k 1.4× 463 1.1× 435 1.0× 434 1.5× 161 7.0k
Bert De Rybel Belgium 41 5.9k 1.8× 4.5k 1.6× 131 0.3× 171 0.4× 207 0.7× 82 6.7k
Daphne Preuss United States 43 5.1k 1.5× 6.1k 2.1× 448 1.0× 934 2.2× 1.2k 4.3× 75 7.5k
Armin Meister Germany 35 3.2k 1.0× 2.6k 0.9× 496 1.2× 163 0.4× 902 3.2× 96 4.4k
Christian Luschnig Austria 32 6.4k 2.0× 5.0k 1.8× 158 0.4× 620 1.5× 341 1.2× 62 7.2k
Megumi Iwano Japan 37 3.9k 1.2× 4.1k 1.4× 248 0.6× 353 0.8× 1.5k 5.2× 74 5.1k
Kenneth D. Birnbaum United States 34 4.4k 1.3× 3.5k 1.2× 194 0.5× 104 0.2× 120 0.4× 62 5.4k
Seiichiro Hasezawa Japan 40 3.7k 1.1× 3.2k 1.1× 45 0.1× 1.3k 3.2× 200 0.7× 141 5.0k

Countries citing papers authored by Veit Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Veit Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veit Schubert

This figure shows the co-authorship network connecting the top 25 collaborators of Veit Schubert. A scholar is included among the top collaborators of Veit Schubert 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 Veit Schubert. Veit Schubert 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.
Dumas, Zoé, Patrick Tran Van, Darren J. Parker, et al.. (2025). Functional monocentricity with holocentric characteristics and chromosome-specific centromeres in a stick insect. Science Advances. 11(1). eads6459–eads6459. 2 indexed citations
2.
Oliveira, Ludmila, Pavel Neumann, Jir̆ı́ Macas, et al.. (2024). Repeat-based holocentromeres of the woodrush Luzula sylvatica reveal insights into the evolutionary transition to holocentricity. Nature Communications. 15(1). 9565–9565. 6 indexed citations
3.
Chen, Jianyong, Jan Bartoš, Anastassia Boudichevskaia, et al.. (2024). The genetic mechanism of B chromosome drive in rye illuminated by chromosome-scale assembly. Nature Communications. 15(1). 9686–9686. 4 indexed citations
4.
Karimi-Ashtiyani, Raheleh, Ali Mohammad Banaei‐Moghaddam, Takayoshi Ishii, et al.. (2024). Centromere sequence-independent but biased loading of subgenome-specific CENH3 variants in allopolyploid Arabidopsis suecica. Plant Molecular Biology. 114(4). 74–74. 1 indexed citations
5.
Kuo, Yi‐Tzu, Veit Schubert, Pavel Neumann, et al.. (2023). Holocentromeres can consist of merely a few megabase-sized satellite arrays. Nature Communications. 14(1). 3502–3502. 26 indexed citations
6.
Cápal, Petr, Jean‐Marie Rouillard, Kateřina Holušová, et al.. (2023). Helical coiling of metaphase chromatids. Nucleic Acids Research. 51(6). 2641–2654. 22 indexed citations
7.
Fuchs, Jörg, et al.. (2023). Meiotic segregation and post-meiotic drive of the Festuca pratensis B chromosome. Chromosome Research. 31(3). 26–26. 3 indexed citations
8.
Neumann, Pavel, Ludmila Oliveira, Tae‐Soo Jang, et al.. (2023). Disruption of the standard kinetochore in holocentric Cuscuta species. Proceedings of the National Academy of Sciences. 120(21). e2300877120–e2300877120. 22 indexed citations
9.
Costa, Lucas, André Marques, Christopher E. Buddenhagen, et al.. (2021). Aiming off the target: recycling target capture sequencing reads for investigating repetitive DNA. Annals of Botany. 128(7). 835–848. 11 indexed citations
10.
Grasser, Klaus D., Étienne Kornobis, Michiel Van Bel, et al.. (2021). The Arabidopsis condensin CAP‐D subunits arrange interphase chromatin. New Phytologist. 230(3). 972–987. 12 indexed citations
11.
Schubert, Veit, et al.. (2021). Expression of Two Rye CENH3 Variants and Their Loading into Centromeres. Plants. 10(10). 2043–2043. 6 indexed citations
12.
Schubert, Veit, et al.. (2021). A simple model explains the cell cycle-dependent assembly of centromeric nucleosomes in holocentric species. Nucleic Acids Research. 49(16). 9053–9065. 9 indexed citations
13.
Ruban, Alevtina, Thomas Schmutzer, Dan Wu, et al.. (2020). Supernumerary B chromosomes of Aegilops speltoides undergo precise elimination in roots early in embryo development. Nature Communications. 11(1). 2764–2764. 142 indexed citations
14.
Báez, Mariana, Yi‐Tzu Kuo, Anastassia Boudichevskaia, et al.. (2020). Analysis of the small chromosomal Prionium serratum (Cyperid) demonstrates the importance of reliable methods to differentiate between mono- and holocentricity. Chromosoma. 129(3-4). 285–297. 10 indexed citations
15.
16.
Keçeli, Burcu Nur, Stefan Heckmann, Twan Rutten, et al.. (2019). The H3 histone chaperone NASPSIM3 escorts CenH3 in Arabidopsis. The Plant Journal. 101(1). 71–86. 37 indexed citations
17.
Ishii, Takayoshi, Veit Schubert, Steven Dreißig, et al.. (2019). RNA‐guided endonuclease – in situ labelling (RGEN‐ISL): a fast CRISPR/Cas9‐based method to label genomic sequences in various species. New Phytologist. 222(3). 1652–1661. 21 indexed citations
18.
Martínez‐García, Marina, et al.. (2018). TOPII and chromosome movement help remove interlocks between entangled chromosomes during meiosis. The Journal of Cell Biology. 217(12). 4070–4079. 37 indexed citations
19.
Dreißig, Steven, Simon Schiml, Patrick Schindele, et al.. (2017). Live‐cell CRISPR imaging in plants reveals dynamic telomere movements. The Plant Journal. 91(4). 565–573. 102 indexed citations
20.
Batzenschlager, Morgane, Inna Lermontová, Veit Schubert, et al.. (2015). Arabidopsis MZT1 homologs GIP1 and GIP2 are essential for centromere architecture. Proceedings of the National Academy of Sciences. 112(28). 8656–8660. 48 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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