Ute Voß

3.7k total citations
29 papers, 2.3k citations indexed

About

Ute Voß is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Ute Voß has authored 29 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 16 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Ute Voß's work include Plant Molecular Biology Research (21 papers), Plant nutrient uptake and metabolism (14 papers) and Plant Reproductive Biology (8 papers). Ute Voß is often cited by papers focused on Plant Molecular Biology Research (21 papers), Plant nutrient uptake and metabolism (14 papers) and Plant Reproductive Biology (8 papers). Ute Voß collaborates with scholars based in United Kingdom, Germany and Sweden. Ute Voß's co-authors include Malcolm J. Bennett, Gerd Jürgens, Darren M. Wells, Tom Beeckman, Ive De Smet, Rubén Casanova‐Sáez, Anthony Bishopp, Leah R. Band, Sandra S. Richter and John R. King and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Ute Voß

29 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ute Voß United Kingdom 23 2.0k 1.4k 121 73 60 29 2.3k
Blanca Garcíadeblas Spain 19 1.9k 0.9× 1.0k 0.7× 84 0.7× 51 0.7× 39 0.7× 22 2.3k
Benoît Menand France 20 1.9k 1.0× 1.5k 1.1× 63 0.5× 186 2.5× 104 1.7× 30 2.4k
Gladys I. Cassab Mexico 21 1.8k 0.9× 986 0.7× 57 0.5× 79 1.1× 36 0.6× 37 2.2k
William Teale Germany 19 2.4k 1.2× 1.8k 1.3× 70 0.6× 100 1.4× 22 0.4× 26 2.7k
Youichi Kondou Japan 26 2.2k 1.1× 1.6k 1.1× 61 0.5× 100 1.4× 44 0.7× 41 2.7k
Moez Hanin Tunisia 26 2.4k 1.2× 1.2k 0.8× 65 0.5× 64 0.9× 20 0.3× 58 2.8k
Toshiki Ishikawa Japan 22 1.0k 0.5× 782 0.6× 106 0.9× 47 0.6× 120 2.0× 73 1.5k
S. Vinod Kumar United Kingdom 17 2.3k 1.2× 1.9k 1.3× 40 0.3× 61 0.8× 147 2.5× 23 2.8k
Trevor M. Nolan United States 23 3.2k 1.6× 2.0k 1.4× 86 0.7× 69 0.9× 32 0.5× 34 3.7k
Rosario Haro Spain 19 1.4k 0.7× 867 0.6× 94 0.8× 63 0.9× 21 0.3× 24 1.7k

Countries citing papers authored by Ute Voß

Since Specialization
Citations

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

Fields of papers citing papers by Ute Voß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Voß

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Voß. A scholar is included among the top collaborators of Ute Voß 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 Ute Voß. Ute Voß 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.
Mellor, Nathan, Ute Voß, Anthony Bishopp, et al.. (2022). Systems approaches reveal that ABCB and PIN proteins mediate co-dependent auxin efflux. The Plant Cell. 34(6). 2309–2327. 35 indexed citations
2.
Kümpers, Britta M. C., Jingyi Han, John Vaughan‐Hirsch, et al.. (2021). Dual expression and anatomy lines allow simultaneous visualization of gene expression and anatomy. PLANT PHYSIOLOGY. 188(1). 56–69. 2 indexed citations
3.
Mellor, Nathan, et al.. (2020). Auxin fluxes through plasmodesmata modify root-tip auxin distribution. Development. 147(6). 69 indexed citations
4.
Voß, Ute, et al.. (2020). Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep Learning. Frontiers in Plant Science. 11. 1275–1275. 8 indexed citations
5.
Escamez, Sacha, Benjamin Bollhöner, Hardy Hall, et al.. (2020). Cell Death in Cells Overlying Lateral Root Primordia Facilitates Organ Growth in Arabidopsis. Current Biology. 30(3). 455–464.e7. 30 indexed citations
6.
Lavenus, Julien, Tatsuaki Goh, Yohann Boutté, et al.. (2019). PUCHI regulates very long chain fatty acid biosynthesis during lateral root and callus formation. Proceedings of the National Academy of Sciences. 116(28). 14325–14330. 47 indexed citations
7.
Casanova‐Sáez, Rubén & Ute Voß. (2019). Auxin Metabolism Controls Developmental Decisions in Land Plants. Trends in Plant Science. 24(8). 741–754. 109 indexed citations
8.
Porco, Silvana, Aleš Pěnčík, Afaf Abdullah Rashed, et al.. (2016). Dioxygenase-encoding AtDAO1 gene controls IAA oxidation and homeostasis in Arabidopsis. Proceedings of the National Academy of Sciences. 113(39). 11016–11021. 159 indexed citations
9.
Mellor, Nathan, Leah R. Band, Aleš Pěnčík, et al.. (2016). Dynamic regulation of auxin oxidase and conjugating enzymes AtDAO1 and GH3 modulates auxin homeostasis. Proceedings of the National Academy of Sciences. 113(39). 11022–11027. 120 indexed citations
10.
Reinhardt, Hagen, Charles Hachez, Manuela Désirée Bienert, et al.. (2016). Tonoplast Aquaporins Facilitate Lateral Root Emergence. PLANT PHYSIOLOGY. 170(3). 1640–1654. 53 indexed citations
11.
Voß, Ute, Anthony Bishopp, Etienne Farcot, & Malcolm J. Bennett. (2014). Modelling hormonal response and development. Trends in Plant Science. 19(5). 311–319. 82 indexed citations
12.
Richter, Sandra S., Marika Kientz, Mads Eggert Nielsen, et al.. (2014). Delivery of endocytosed proteins to the cell–division plane requires change of pathway from recycling to secretion. eLife. 3. e02131–e02131. 78 indexed citations
13.
Muraro, Daniele, Ute Voß, Michael Wilson, et al.. (2013). Inference of the Genetic Network Regulating Lateral Root Initiation in Arabidopsis thaliana. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(1). 50–60. 5 indexed citations
14.
Voß, Ute, Antoine Larrieu, & Darren M. Wells. (2013). From jellyfish to biosensors: the use of fluorescent proteins in plants. The International Journal of Developmental Biology. 57(6-7-8). 525–533. 23 indexed citations
15.
Muraro, Daniele, Helen M. Byrne, John R. King, et al.. (2011). The influence of cytokinin–auxin cross-regulation on cell-fate determination in Arabidopsis thaliana root development. Journal of Theoretical Biology. 283(1). 152–167. 35 indexed citations
16.
Smet, Ive De, Ute Voß, Gerd Jürgens, & Tom Beeckman. (2009). Receptor-like kinases shape the plant. Nature Cell Biology. 11(10). 1166–1173. 233 indexed citations
17.
Richter, Sandra S., Ute Voß, & Gerd Jürgens. (2009). Post‐Golgi Traffic in Plants. Traffic. 10(7). 819–828. 81 indexed citations
18.
Araki, Satoshi, Minoru Kubo, Taku Demura, et al.. (2007). R1R2R3-Myb proteins positively regulate cytokinesis through activation of KNOLLE transcription in Arabidopsis thaliana. Development. 134(6). 1101–1110. 168 indexed citations
19.
Voß, Ute, et al.. (2004). The induction of sexual development and virulence in the smut fungus Ustilago maydis depends on Crk1, a novel MAPK protein. Genes & Development. 18(24). 3117–3130. 67 indexed citations
20.
Rascher, Wolfgang, Rainer Dietz, Albert Schömig, Ute Voß, & Franz Gross. (1983). EFFECTS OF NEONATAL SYMPATHECTOMY BY 6‐HYDROXYDOPAMINE ON BLOOD PRESSURE AND INTRAVASCULAR VOLUME IN YOUNG STROKE‐PRONE SPONTANEOUSLY HYPERTENSIVE RATS. Clinical and Experimental Pharmacology and Physiology. 10(1). 27–33. 6 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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