Ingo Schubert

16.5k total citations · 1 hit paper
252 papers, 12.1k citations indexed

About

Ingo Schubert is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ingo Schubert has authored 252 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Plant Science, 142 papers in Molecular Biology and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ingo Schubert's work include Chromosomal and Genetic Variations (149 papers), Plant Genetic and Mutation Studies (58 papers) and Plant Molecular Biology Research (49 papers). Ingo Schubert is often cited by papers focused on Chromosomal and Genetic Variations (149 papers), Plant Genetic and Mutation Studies (58 papers) and Plant Molecular Biology Research (49 papers). Ingo Schubert collaborates with scholars based in Germany, Czechia and United Kingdom. Ingo Schubert's co-authors include Jörg Fuchs, Martin A. Lysák, Armin Meister, Andreas Houben, Aleš Pečinka, Veit Schubert, Uta Pich, Zuzana Jasencakova, Paul Fransz and Fritz Matzk and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ingo Schubert

248 papers receiving 11.8k citations

Hit Papers

Chromosome triplication found across the tribe Brassiceae 2005 2026 2012 2019 2005 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
Ingo Schubert Germany 60 9.6k 7.4k 1.3k 1.3k 512 252 12.1k
Francesco Salamini Germany 76 16.3k 1.7× 7.8k 1.0× 1.1k 0.9× 2.5k 1.9× 1.1k 2.1× 308 19.3k
James A. Birchler United States 58 11.0k 1.1× 9.1k 1.2× 673 0.5× 4.0k 3.1× 432 0.8× 294 14.6k
ALBERT LEVAN Sweden 27 3.1k 0.3× 2.6k 0.3× 1.0k 0.8× 1.7k 1.3× 275 0.5× 149 5.7k
Tai‐ping Sun United States 52 12.9k 1.3× 10.4k 1.4× 673 0.5× 701 0.5× 279 0.5× 77 15.8k
Minami Matsui Japan 63 7.8k 0.8× 7.0k 0.9× 445 0.3× 511 0.4× 409 0.8× 188 10.5k
Luca Comai United States 68 14.9k 1.6× 11.2k 1.5× 1.3k 1.0× 2.9k 2.2× 518 1.0× 179 17.6k
Kan Tanaka Japan 51 1.9k 0.2× 7.8k 1.0× 498 0.4× 1.4k 1.1× 476 0.9× 246 9.5k
Keith J. Edwards United Kingdom 53 11.5k 1.2× 5.6k 0.8× 859 0.7× 4.1k 3.2× 758 1.5× 133 14.7k
Lieven De Veylder Belgium 69 11.7k 1.2× 10.2k 1.4× 293 0.2× 453 0.3× 1.4k 2.7× 189 14.4k
Jaroslav Doležel Czechia 64 14.3k 1.5× 6.6k 0.9× 2.7k 2.1× 2.7k 2.1× 910 1.8× 406 16.4k

Countries citing papers authored by Ingo Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Schubert

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Schubert. A scholar is included among the top collaborators of Ingo 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 Ingo Schubert. Ingo 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.
Ernst, Evan, Bradley W. Abramson, Kenneth Acosta, et al.. (2025). Duckweed genomes and epigenomes underlie triploid hybridization and clonal reproduction. Current Biology. 35(8). 1828–1847.e9. 7 indexed citations
2.
Braglia, Luca, Jörg Fuchs, Veit Schubert, et al.. (2025). Hybridity of mainly asexually propagating duckweeds in genus Lemna – dead end or breakthrough?. New Phytologist. 250(1). 629–647. 1 indexed citations
4.
Kuo, Yi‐Tzu, Veit Schubert, André Marques, Ingo Schubert, & Andreas Houben. (2024). Centromere diversity: How different repeat‐based holocentromeres may have evolved. BioEssays. 46(6). e2400013–e2400013. 5 indexed citations
5.
Kishchenko, Olena, Markus Kuhlmann, Henning Tschiersch, et al.. (2023). Cryopreservation of Duckweed Genetic Diversity as Model for Long-Term Preservation of Aquatic Flowering Plants. Plants. 12(18). 3302–3302. 4 indexed citations
6.
Bog, Manuela, K. Sowjanya Sree, Jörg Fuchs, et al.. (2020). A taxonomic revision of Lemna sect. Uninerves (Lemnaceae). Taxon. 69(1). 56–66. 55 indexed citations
7.
Schubert, Veit, Pavel Neumann, André Marques, et al.. (2020). Super-Resolution Microscopy Reveals Diversity of Plant Centromere Architecture. International Journal of Molecular Sciences. 21(10). 3488–3488. 40 indexed citations
8.
Vu, Giang T. H., Thomas Schmutzer, Hieu X. Cao, et al.. (2015). Comparative Genome Analysis Reveals Divergent Genome Size Evolution in a Carnivorous Plant Genus. The Plant Genome. 8(3). eplantgenome2015.04.0021–eplantgenome2015.04.0021. 121 indexed citations
9.
Jackson, James P., Lianna M. Johnson, Zuzana Jasencakova, et al.. (2004). Dimethylation of histone H3 lysine 9 is a critical mark for DNA methylation and gene silencing in Arabidopsis thaliana. Chromosoma. 112(6). 308–315. 248 indexed citations
10.
Matzk, Fritz, et al.. (2004). A Specific α-Tubulin is Associated with the Initiation of Parthenogenesis in ‘Salmon’ Wheat Lines. Hereditas. 126(3). 219–224. 2 indexed citations
11.
Fransz, Paul, Joan H. de Jong, Martin A. Lysák, Monica Ruffini Castiglione, & Ingo Schubert. (2002). Interphase chromosomes in Arabidopsis are organized as well defined chromocenters from which euchromatin loops emanate. Proceedings of the National Academy of Sciences. 99(22). 14584–14589. 364 indexed citations
12.
Pickering, R. A., Paul A. Johnston, Gail M. Timmerman‐Vaughan, et al.. (2000). Hordeum bulbosum - a new source of disease and pest resistance genes for use in barley breeding programmes.. 30. 6–9. 6 indexed citations
13.
Macas, Jir̆ı́, Jaroslav Doležel, G. Gualberti, et al.. (1995). Primer-induced labeling of pea and field bean chromosomes in situ and in suspension.. PubMed. 19(3). 402–4; 407. 24 indexed citations
14.
Schubert, Ingo & R. Rieger. (1990). Deletions are not tolerated by the Vicia faba genome.. 109(3). 207–213. 2 indexed citations
15.
Schubert, Ingo, et al.. (1990). Differential staining of mitotic chromosomes of Zea mays L. by actinomycin D/DAPI and restrictase/Giemsa technique.. 109(4). 271–277. 1 indexed citations
16.
Schubert, Ingo. (1990). Sister chromatid exchanges and chromatid aberrations: a comparison.. 109(1). 7–18. 6 indexed citations
17.
Schubert, Ingo, et al.. (1987). Clastogenic adaptation of Vicia faba root tip meristem cells after consecutive treatments with S-phase dependent and S-phase independent agents. 106(4). 439–448. 7 indexed citations
18.
Schubert, Ingo & R. Rieger. (1980). Cytochemical and cytogenetic features of the nucleolus organizing region (NOR) of Vicia faba.. 99(1). 65–72. 2 indexed citations
19.
Schubert, Ingo, et al.. (1978). In situ hybridization of iodinated 5S and 18/25S RNA to Vicia faba metaphase chromosomes. 97(2). 129–135. 9 indexed citations
20.
Rieger, R., A. Michaelis, Ingo Schubert, & Bernd Kaina. (1977). Effects of chromosome repatterning in Vicia faba L. 2. 96(2). 161–182. 5 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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