Ute Baumann

5.0k total citations
85 papers, 3.5k citations indexed

About

Ute Baumann is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ute Baumann has authored 85 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Plant Science, 33 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Ute Baumann's work include Wheat and Barley Genetics and Pathology (32 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Plant Stress Responses and Tolerance (15 papers). Ute Baumann is often cited by papers focused on Wheat and Barley Genetics and Pathology (32 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Plant Stress Responses and Tolerance (15 papers). Ute Baumann collaborates with scholars based in Australia, United States and United Kingdom. Ute Baumann's co-authors include Peter Langridge, Tim Sutton, Mark Tester, Ryan Whitford, Andreas Schreiber, Thorsten Schnurbusch, Julie E. Hayes, A. L. Brown, Margaret Pallotta and Brent N. Kaiser and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Ute Baumann

85 papers receiving 3.4k 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 Baumann Australia 33 3.0k 1.4k 541 244 139 85 3.5k
Juren Zhang China 35 3.2k 1.1× 1.6k 1.2× 298 0.6× 247 1.0× 137 1.0× 84 3.6k
Babu Valliyodan United States 41 4.3k 1.4× 1.4k 1.0× 372 0.7× 264 1.1× 74 0.5× 81 4.9k
Jeffrey E. Habben United States 25 2.7k 0.9× 1.5k 1.1× 603 1.1× 460 1.9× 60 0.4× 48 3.2k
Wenbin Li China 38 4.5k 1.5× 1.3k 0.9× 732 1.4× 234 1.0× 50 0.4× 182 5.1k
Nenghui Ye China 33 4.0k 1.3× 2.0k 1.5× 199 0.4× 160 0.7× 139 1.0× 78 4.5k
Rajeev Gupta India 22 2.6k 0.9× 1.7k 1.3× 301 0.6× 173 0.7× 57 0.4× 81 3.2k
Lijuan Qiu China 37 4.6k 1.6× 1.1k 0.8× 669 1.2× 338 1.4× 58 0.4× 218 5.0k
Junyi Gai China 37 4.3k 1.5× 1.1k 0.8× 658 1.2× 338 1.4× 37 0.3× 189 4.9k
Hongliang Zhang China 34 3.2k 1.1× 1.2k 0.9× 1.6k 3.0× 190 0.8× 82 0.6× 124 3.9k
Zichao Li China 37 4.1k 1.4× 1.2k 0.9× 2.0k 3.7× 196 0.8× 106 0.8× 169 4.7k

Countries citing papers authored by Ute Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Ute Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Baumann

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Baumann. A scholar is included among the top collaborators of Ute Baumann 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 Baumann. Ute Baumann 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.
Baumann, Ute, et al.. (2024). Using RNA sequencing to unravel molecular changes underlying the defense response in chickpea induced by Phytophthora medicaginis. Physiologia Plantarum. 176(4). e14412–e14412. 1 indexed citations
2.
3.
Yang, Xiujuan, et al.. (2023). HvSL1andHvMADS16promote stamen identity to restrict multiple ovary formation in barley. Journal of Experimental Botany. 74(17). 5039–5056. 6 indexed citations
4.
Mullan, Daniel, et al.. (2022). Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments. Theoretical and Applied Genetics. 135(12). 4437–4456. 14 indexed citations
5.
Baumann, Ute, et al.. (2022). Genetic control of compatibility in crosses between wheat and its wild or cultivated relatives. Plant Biotechnology Journal. 20(5). 812–832. 19 indexed citations
6.
Schultz, Carolyn J., Yue Wu, & Ute Baumann. (2022). A targeted bioinformatics approach identifies highly variable cell surface proteins that are unique to Glomeromycotina. Mycorrhiza. 32(1). 45–66. 3 indexed citations
7.
Fleury, Delphine, Ute Baumann, Daniel Mullan, et al.. (2021). Development of an Australian Bread Wheat Nested Association Mapping Population, a New Genetic Diversity Resource for Breeding under Dry and Hot Climates. International Journal of Molecular Sciences. 22(9). 4348–4348. 10 indexed citations
8.
Hayes, Julie E., Yongle Li, Ute Baumann, et al.. (2021). The genetics of vigour-related traits in chickpea (Cicer arietinum L.): insights from genomic data. Theoretical and Applied Genetics. 135(1). 107–124. 8 indexed citations
9.
Serra, Heïdi, Ute Baumann, Ryan Whitford, et al.. (2021). Ph2 encodes the mismatch repair protein MSH7-3D that inhibits wheat homoeologous recombination. Nature Communications. 12(1). 803–803. 51 indexed citations
10.
Riboni, Matteo, et al.. (2021). Proton‐pumping pyrophosphatase homeolog expression is a dynamic trait in bread wheat (Triticum aestivum). Plant Direct. 5(10). e354–e354. 1 indexed citations
11.
Edwards, James, Vijay Gahlaut, Melissa Garcia, et al.. (2019). QTL analysis and fine mapping of a QTL for yield-related traits in wheat grown in dry and hot environments. Theoretical and Applied Genetics. 133(1). 239–257. 47 indexed citations
12.
Pallotta, Margaret, Patricia Warner, Elise J. Tucker, et al.. (2019). Wheat ms5 male‐sterility is induced by recessive homoeologous A and D genome non‐specific lipid transfer proteins. The Plant Journal. 99(4). 673–685. 30 indexed citations
13.
Amarasinghe, Shanika L., Nathan S. Watson‐Haigh, Caitlin S. Byrt, et al.. (2019). Transcriptional variation is associated with differences in shoot sodium accumulation in distinct barley varieties. Environmental and Experimental Botany. 166. 103812–103812. 5 indexed citations
14.
Melino, Vanessa, Ute Baumann, Matteo Riboni, et al.. (2019). Opposite fates of the purine metabolite allantoin under water and nitrogen limitations in bread wheat. Plant Molecular Biology. 99(4-5). 477–497. 41 indexed citations
15.
Garcia, Melissa, Paul Eckermann, Stephan M. Haefele, et al.. (2019). Genome-wide association mapping of grain yield in a diverse collection of spring wheat (Triticum aestivum L.) evaluated in southern Australia. PLoS ONE. 14(2). e0211730–e0211730. 62 indexed citations
16.
Suchecki, Radosław, Nathan S. Watson‐Haigh, & Ute Baumann. (2017). POTAGE: A Visualisation Tool for Speeding up Gene Discovery in Wheat. Scientific Reports. 7(1). 14315–14315. 8 indexed citations
17.
Plett, Darren, Ute Baumann, Karen Francis, et al.. (2016). Nitrogen assimilation system in maize is regulated by developmental and tissue-specific mechanisms. Plant Molecular Biology. 92(3). 293–312. 20 indexed citations
18.
Conn, Simon J., Matthew Gilliham, Asmini Athman, et al.. (2011). Cell-Specific Vacuolar Calcium Storage Mediated by CAX1 Regulates Apoplastic Calcium Concentration, Gas Exchange, and Plant Productivity in Arabidopsis    . The Plant Cell. 23(1). 240–257. 202 indexed citations
19.
Sutton, Tim, Ute Baumann, Julie E. Hayes, et al.. (2007). Boron-Toxicity Tolerance in Barley Arising from Efflux Transporter Amplification. Science. 318(5855). 1446–1449. 320 indexed citations
20.
Lunde, Christina, Ute Baumann, Neil J. Shirley, Damian P. Drew, & Geoffrey B. Fincher. (2006). Gene Structure and Expression Pattern Analysis of Three Monodehydroascorbate Reductase (Mdhar) Genes in Physcomitrella patens: Implications for the Evolution of the MDHAR Family in Plants*. Plant Molecular Biology. 60(2). 259–275. 47 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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