Julia Kehr

6.1k total citations · 1 hit paper
65 papers, 4.7k citations indexed

About

Julia Kehr is a scholar working on Molecular Biology, Plant Science and Spectroscopy. According to data from OpenAlex, Julia Kehr has authored 65 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 41 papers in Plant Science and 6 papers in Spectroscopy. Recurrent topics in Julia Kehr's work include Plant nutrient uptake and metabolism (24 papers), Plant Molecular Biology Research (17 papers) and Photosynthetic Processes and Mechanisms (14 papers). Julia Kehr is often cited by papers focused on Plant nutrient uptake and metabolism (24 papers), Plant Molecular Biology Research (17 papers) and Photosynthetic Processes and Mechanisms (14 papers). Julia Kehr collaborates with scholars based in Germany, United States and Spain. Julia Kehr's co-authors include Anja Buhtz, Wolf‐Rüdiger Scheible, Bikram Datt Pant, Franziska Springer, Patrick Giavalisco, Martina Schad, Friedrich Kragler, David C. Baulcombe, Patrick May and Dirk Walther and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Julia Kehr

62 papers receiving 4.6k citations

Hit Papers

MicroRNA399 is a long‐distance signal for the regulation ... 2007 2026 2013 2019 2007 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
Julia Kehr Germany 34 3.8k 2.2k 376 152 139 65 4.7k
Randy D. Allen United States 38 5.2k 1.4× 3.1k 1.4× 197 0.5× 203 1.3× 143 1.0× 87 6.2k
Ning Tang China 38 4.3k 1.1× 2.8k 1.2× 283 0.8× 127 0.8× 73 0.5× 146 5.9k
Petre I. Dobrev Czechia 47 6.2k 1.7× 3.6k 1.6× 211 0.6× 546 3.6× 108 0.8× 177 7.1k
Radomı́ra Vaňková Czechia 46 5.8k 1.5× 3.0k 1.3× 204 0.5× 386 2.5× 254 1.8× 149 6.8k
Claudia Jonak Austria 35 5.8k 1.5× 3.8k 1.7× 92 0.2× 194 1.3× 87 0.6× 64 6.8k
Caren Chang United States 41 6.8k 1.8× 3.4k 1.5× 154 0.4× 284 1.9× 45 0.3× 76 7.6k
Ewald Komor Germany 40 3.4k 0.9× 1.9k 0.8× 171 0.5× 197 1.3× 44 0.3× 144 4.7k
Raimund Tenhaken Austria 31 5.0k 1.3× 2.4k 1.0× 193 0.5× 252 1.7× 71 0.5× 71 5.9k
Woo Sik Chung South Korea 47 5.0k 1.3× 3.4k 1.5× 149 0.4× 81 0.5× 105 0.8× 115 6.0k
Stephan Pollmann Spain 39 3.5k 0.9× 2.5k 1.1× 268 0.7× 226 1.5× 41 0.3× 95 4.3k

Countries citing papers authored by Julia Kehr

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Kehr

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Kehr. A scholar is included among the top collaborators of Julia Kehr 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 Julia Kehr. Julia Kehr 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.
Paajanen, Pirita, Hannah Rae Thomas, Federico Apelt, et al.. (2025). Re-analysis of mobile mRNA datasets raises questions about the extent of long-distance mRNA communication. Nature Plants. 11(5). 977–984. 8 indexed citations
2.
Thieron, Hannah, Seomun Kwon, Karina Brinkrolf, et al.. (2024). Broad‐scale phenotyping in Arabidopsis reveals varied involvement of RNA interference across diverse plant‐microbe interactions. Plant Direct. 8(11). e70017–e70017. 2 indexed citations
3.
Kehr, Julia, et al.. (2024). The glycine-rich domain of GRP7 plays a crucial role in binding long RNAs and facilitating phase separation. Scientific Reports. 14(1). 16018–16018. 5 indexed citations
4.
Pines, Gur, et al.. (2024). Rapid on-site detection of crop RNA viruses using CRISPR/Cas13a. Journal of Experimental Botany. 76(21). 6335–6346. 4 indexed citations
5.
Falke, Sven, et al.. (2023). Structural and functional analysis of a plant nucleolar RNA chaperone-like protein. Scientific Reports. 13(1). 9656–9656. 1 indexed citations
6.
Gupta, Saurabh, et al.. (2022). Exact Bayesian inference for the detection of graft-mobile transcripts from sequencing data. Journal of The Royal Society Interface. 19(197). 20220644–20220644. 6 indexed citations
7.
Toorchi, Mahmoud, et al.. (2019). Comparative proteomic analysis of salt-responsive proteins in canola roots by 2-DE and MALDI-TOF MS. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1867(3). 227–236. 15 indexed citations
8.
Falke, Sven, et al.. (2019). Enzyme activity and structural features of three single-domain phloem cyclophilins from Brassica napus. Scientific Reports. 9(1). 9368–9368. 4 indexed citations
9.
Amari, Khalid, et al.. (2017). Bioinformatic and expression analysis of the Brassica napus L. cyclophilins. Scientific Reports. 7(1). 1514–1514. 13 indexed citations
10.
Gaupels, Frank, Alexandra C. U. Furch, Matthias R. Zimmermann, et al.. (2016). Systemic Induction of NO-, Redox-, and cGMP Signaling in the Pumpkin Extrafascicular Phloem upon Local Leaf Wounding. Frontiers in Plant Science. 7. 154–154. 28 indexed citations
11.
Dinant, Sylvie, Jean‐Louis Bonnemain, Christine Girousse, & Julia Kehr. (2010). Phloem sap intricacy and interplay with aphid feeding. Comptes Rendus Biologies. 333(6-7). 504–515. 133 indexed citations
12.
Pant, Bikram Datt, Magdalena Musialak‐Lange, Przemysław Nuc, et al.. (2009). Identification of Nutrient-Responsive Arabidopsis and Rapeseed MicroRNAs by Comprehensive Real-Time Polymerase Chain Reaction Profiling and Small RNA Sequencing   . PLANT PHYSIOLOGY. 150(3). 1541–1555. 382 indexed citations
13.
Gaupels, Frank, Anja Buhtz, Sachin D. Deshmukh, et al.. (2008). Adaptation of aphid stylectomy for analyses of proteins and mRNAs in barley phloem sap. Journal of Experimental Botany. 59(12). 3297–3306. 61 indexed citations
14.
Kehr, Julia & Anja Buhtz. (2007). Long distance transport and movement of RNA through the phloem. Journal of Experimental Botany. 59(1). 85–92. 209 indexed citations
15.
Kehr, Julia, et al.. (2006). Preparation and Quality Assessment of RNA From Cell-Specific Samples Obtained by Laser Microdissection. Humana Press eBooks. 323. 367–378. 7 indexed citations
16.
Dühring, Ulf, et al.. (2005). Analysis of photosynthetic complexes from a cyanobacterial ycf37 mutant. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1757(1). 3–11. 46 indexed citations
17.
Kehr, Julia, Anja Buhtz, & Patrick Giavalisco. (2005). Analysis of xylem sap proteins from Brassica napus. BMC Plant Biology. 5(1). 11–11. 86 indexed citations
18.
Pinheiro, Carla, Julia Kehr, & Cândido Pinto Ricardo. (2005). Effect of water stress on lupin stem protein analysed by two-dimensional gel electrophoresis. Planta. 221(5). 716–728. 40 indexed citations
20.
Kehr, Julia. (2001). High resolution spatial analysis of plant systems. Current Opinion in Plant Biology. 4(3). 197–201. 42 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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