Andreas Bachmair

8.6k total citations · 2 hit papers
72 papers, 6.5k citations indexed

About

Andreas Bachmair is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Andreas Bachmair has authored 72 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 43 papers in Plant Science and 8 papers in Oncology. Recurrent topics in Andreas Bachmair's work include Ubiquitin and proteasome pathways (31 papers), Plant Molecular Biology Research (13 papers) and Chromosomal and Genetic Variations (10 papers). Andreas Bachmair is often cited by papers focused on Ubiquitin and proteasome pathways (31 papers), Plant Molecular Biology Research (13 papers) and Chromosomal and Genetic Variations (10 papers). Andreas Bachmair collaborates with scholars based in Austria, Germany and United States. Andreas Bachmair's co-authors include Alexander Varshavsky, Daniel Finley, John W. Tobias, David K. Gonda, David Marriott, David J. Ecker, Vincent Chau, Maria Novatchkova, Michael J. Holdsworth and Dieter Schweizer and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Andreas Bachmair

70 papers receiving 6.4k citations

Hit Papers

In Vivo Half-Life of a Protein Is a Function of Its Amino... 1986 2026 1999 2012 1986 1989 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Bachmair Austria 33 5.1k 2.1k 1.3k 955 631 72 6.5k
Kevan M. Shokat United States 46 6.2k 1.2× 1.5k 0.7× 790 0.6× 2.3k 2.4× 527 0.8× 67 8.4k
Robert J. Duronio United States 45 5.9k 1.2× 908 0.4× 1.0k 0.8× 1.6k 1.6× 213 0.3× 114 6.9k
N. Rao Movva Switzerland 29 4.8k 0.9× 1.1k 0.6× 790 0.6× 610 0.6× 462 0.7× 41 5.9k
Akio Toh‐e Japan 63 9.5k 1.9× 1.8k 0.9× 955 0.7× 3.2k 3.4× 883 1.4× 217 10.7k
Mark Goebl United States 28 4.7k 0.9× 798 0.4× 573 0.4× 1.4k 1.5× 321 0.5× 37 5.3k
Mary Dasso United States 51 7.5k 1.5× 682 0.3× 1.3k 1.0× 2.3k 2.4× 562 0.9× 119 8.4k
Y Fukuda Japan 8 7.0k 1.4× 1.2k 0.6× 446 0.3× 1.3k 1.4× 232 0.4× 12 7.7k
Mark Stahl Germany 41 4.4k 0.9× 1.7k 0.8× 679 0.5× 419 0.4× 183 0.3× 81 7.1k
R Sikorski United States 11 8.1k 1.6× 1.0k 0.5× 402 0.3× 2.3k 2.4× 334 0.5× 18 8.8k
Hisato Saitoh Japan 38 4.6k 0.9× 601 0.3× 1.3k 1.0× 726 0.8× 621 1.0× 92 5.3k

Countries citing papers authored by Andreas Bachmair

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Bachmair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Bachmair

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Bachmair. A scholar is included among the top collaborators of Andreas Bachmair 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 Andreas Bachmair. Andreas Bachmair 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.
Zhang, Hongtao, et al.. (2024). BIG enhances Arg/N-degron pathway-mediated protein degradation to regulate Arabidopsis hypoxia responses and suberin deposition. The Plant Cell. 36(9). 3177–3200. 10 indexed citations
2.
Potuschak, Thomas & Andreas Bachmair. (2015). Seedling Germination: Seedlings Follow Sunshine and Fresh Air. Current Biology. 25(13). R565–R566. 3 indexed citations
3.
Khan, Mamoona, Wilfried Rozhon, Simon Josef Unterholzner, et al.. (2014). Interplay between phosphorylation and SUMOylation events determines CESTA protein fate in brassinosteroid signalling. Nature Communications. 5(1). 4687–4687. 47 indexed citations
4.
Gibbs, Daniel J., Jaume Bacardit, Andreas Bachmair, & Michael J. Holdsworth. (2014). The eukaryotic N-end rule pathway: conserved mechanisms and diverse functions. Trends in Cell Biology. 24(10). 603–611. 147 indexed citations
5.
Leitner, Johannes, Jan Petrášek, Konstantin Tomanov, et al.. (2012). Lysine 63 -linked ubiquitylation of PIN2 auxin carrier protein governs hormonally controlled adaptation of Arabidopsis root growth. Proceedings of the National Academy of Sciences. 109(21). 8322–8327. 161 indexed citations
6.
Novatchkova, Maria, Konstantin Tomanov, Kay Hofmann, Hans‐Peter Stuible, & Andreas Bachmair. (2012). Update on sumoylation: defining core components of the plant SUMO conjugation system by phylogenetic comparison. New Phytologist. 195(1). 23–31. 74 indexed citations
7.
Fu, Yong-Fu, Elmon Schmelzer, Nabil Elrouby, et al.. (2010). Distinct roles for Arabidopsis SUMO protease ESD4 and its closest homolog ELS1. Planta. 233(1). 63–73. 55 indexed citations
8.
Böhmdorfer, Gudrun, et al.. (2008). Virus-like particle formation and translational start site choice of the plant retrotransposon Tto1. Virology. 373(2). 437–446. 5 indexed citations
9.
Gu, Xiaofeng, Danhua Jiang, Yuqi Wang, Andreas Bachmair, & Yuehui He. (2008). Repression of the floral transition via histone H2B monoubiquitination. The Plant Journal. 57(3). 522–533. 114 indexed citations
10.
Schlögelhofer, Peter, et al.. (2005). Expression of the ubiquitin variant ubR48 decreases proteolytic activity in Arabidopsis and induces cell death. Planta. 223(4). 684–697. 14 indexed citations
11.
Novatchkova, Maria, Andreas Bachmair, Birgit Eisenhaber, & Frank Eisenhaber. (2005). Proteins with two SUMO-like domains in chromatin-associated complexes: The RENi (Rad60-Esc2-NIP45) family. BMC Bioinformatics. 6(1). 22–22. 47 indexed citations
12.
Novatchkova, Maria, et al.. (2004). SUMO conjugation in plants. Planta. 220(1). 1–8. 85 indexed citations
14.
15.
Bachmair, Andreas, Maria Novatchkova, Thomas Potuschak, & Frank Eisenhaber. (2001). Ubiquitylation in plants: a post-genomic look at a post-translational modification. Trends in Plant Science. 6(10). 463–470. 155 indexed citations
16.
Bilić, Ivan, Oliver Pusch, Joe Tohmé, et al.. (1999). The Tpv2 family of retrotransposons of Phaseolus vulgaris: structure, integration characteristics, and use for genotype classification. Plant Molecular Biology. 39(4). 797–807. 23 indexed citations
17.
Conrath, Uwe, Daniel F. Klessig, & Andreas Bachmair. (1998). Tobacco plants perturbed in the ubiquitin-dependent protein degradation system accumulate callose, salicylic acid, and pathogenesis-related protein 1. Plant Cell Reports. 17(11). 876–880. 24 indexed citations
20.
Luschnig, Christian, Michael Heß, Oliver Pusch, Jayne L. Brookman, & Andreas Bachmair. (1995). The Gag Homologue of Retrotransposon Ty1 Assembles into Spherical Particles in Escherichia coli. European Journal of Biochemistry. 228(3). 739–744. 15 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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