Johannes Hanson

7.2k total citations · 2 hit papers
49 papers, 5.4k citations indexed

About

Johannes Hanson is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Johannes Hanson has authored 49 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 30 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Johannes Hanson's work include Plant Molecular Biology Research (25 papers), Plant nutrient uptake and metabolism (21 papers) and Plant Stress Responses and Tolerance (11 papers). Johannes Hanson is often cited by papers focused on Plant Molecular Biology Research (25 papers), Plant nutrient uptake and metabolism (21 papers) and Plant Stress Responses and Tolerance (11 papers). Johannes Hanson collaborates with scholars based in Sweden, Netherlands and Germany. Johannes Hanson's co-authors include Sjef Smeekens, Jeroen Lastdrager, Julia Wind, Filip Rolland, Henrik Johannesson, Elena Baena–González, Wolfgang Dröge‐Laser, Christos Zamioudis, Corné M. J. Pieterse and Leónie Bentsink and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

In The Last Decade

Johannes Hanson

47 papers receiving 5.4k citations

Hit Papers

Sugar signals and molecular networks controlling plant gr... 2010 2026 2015 2020 2010 2014 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
Johannes Hanson Sweden 35 4.7k 2.9k 156 141 116 49 5.4k
Sang-Dong Yoo South Korea 26 6.6k 1.4× 4.7k 1.6× 102 0.7× 134 1.0× 100 0.9× 35 7.8k
Jürgen Zeier Germany 45 6.2k 1.3× 2.4k 0.8× 152 1.0× 253 1.8× 69 0.6× 62 7.0k
Teruaki Taji Japan 22 4.3k 0.9× 2.5k 0.9× 131 0.8× 213 1.5× 90 0.8× 52 4.8k
Karen S. Schumaker United States 34 6.2k 1.3× 3.7k 1.3× 89 0.6× 193 1.4× 83 0.7× 44 7.0k
Steven D. Clouse United States 43 6.6k 1.4× 4.7k 1.6× 130 0.8× 148 1.0× 74 0.6× 65 7.5k
Yiji Xia Hong Kong 38 4.8k 1.0× 4.1k 1.4× 96 0.6× 133 0.9× 57 0.5× 82 6.6k
Satoshi Iuchi Japan 31 5.1k 1.1× 2.3k 0.8× 103 0.7× 171 1.2× 117 1.0× 56 5.6k
Francisco M. Cánovas Spain 40 3.0k 0.6× 2.3k 0.8× 188 1.2× 151 1.1× 75 0.6× 132 4.0k
Svenja Meyer Germany 13 2.9k 0.6× 2.1k 0.7× 123 0.8× 95 0.7× 55 0.5× 16 3.9k
Wilco Ligterink Netherlands 34 3.5k 0.7× 2.1k 0.7× 97 0.6× 167 1.2× 72 0.6× 82 4.2k

Countries citing papers authored by Johannes Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Hanson

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Hanson. A scholar is included among the top collaborators of Johannes Hanson 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 Johannes Hanson. Johannes Hanson 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
2.
Bai, Bing, Bastian Schiffthaler, Leo A. J. Willems, et al.. (2022). SeedTransNet: a directional translational network revealing regulatory patterns during seed maturation and germination. Journal of Experimental Botany. 74(7). 2416–2432. 8 indexed citations
3.
Weiste, Christoph, Silvio Collani, Markus Krischke, et al.. (2021). Perturbations in plant energy homeostasis prime lateral root initiation via SnRK1-bZIP63-ARF19 signaling. Proceedings of the National Academy of Sciences. 118(37). 51 indexed citations
4.
Prior, Matthew J., Jung‐Gun Kim, Martin C. Jonikas, et al.. (2021). Arabidopsis bZIP11 Is a Susceptibility Factor During Pseudomonas syringae Infection. Molecular Plant-Microbe Interactions. 34(4). 439–447. 10 indexed citations
5.
Hanson, Johannes, et al.. (2019). Metabolite Control of Translation by Conserved Peptide uORFs: The Ribosome as a Metabolite Multisensor. PLANT PHYSIOLOGY. 182(1). 110–122. 40 indexed citations
6.
Bai, Bing, et al.. (2019). Seed-Stored mRNAs that Are Specifically Associated to Monosomes Are Translationally Regulated during Germination. PLANT PHYSIOLOGY. 182(1). 378–392. 60 indexed citations
8.
Dekkers, Bas J. W., Hanzi He, Johannes Hanson, et al.. (2016). The Arabidopsis DELAY OF GERMINATION 1 gene affects ABSCISIC ACID INSENSITIVE 5 (ABI5) expression and genetically interacts with ABI3 during Arabidopsis seed development. The Plant Journal. 85(4). 451–465. 147 indexed citations
9.
He, Hanzi, Leo A. J. Willems, Albert Batushansky, et al.. (2016). Effects of Parental Temperature and Nitrate on Seed Performance are Reflected by Partly Overlapping Genetic and Metabolic Pathways. Plant and Cell Physiology. 57(3). 473–487. 38 indexed citations
10.
Lastdrager, Jeroen, et al.. (2016). The phylogeny of C/S1 bZIP transcription factors reveals a shared algal ancestry and the pre-angiosperm translational regulation of S1 transcripts. Scientific Reports. 6(1). 30444–30444. 23 indexed citations
11.
Dobrenel, Thomas, Camila Caldana, Johannes Hanson, et al.. (2016). TOR Signaling and Nutrient Sensing. Annual Review of Plant Biology. 67(1). 261–285. 318 indexed citations
12.
Hummel, Maureen, Thomas Dobrenel, Jan Cordewener, et al.. (2015). Proteomic LC–MS analysis of Arabidopsis cytosolic ribosomes: Identification of ribosomal protein paralogs and re-annotation of the ribosomal protein genes. Journal of Proteomics. 128. 436–449. 40 indexed citations
13.
Zamioudis, Christos, J.A. van Pelt, Nina Dombrowski, et al.. (2015). Rhizobacterial volatiles and photosynthesis‐related signals coordinate MYB72 expression in Arabidopsis roots during onset of induced systemic resistance and iron‐deficiency responses. The Plant Journal. 84(2). 309–322. 150 indexed citations
14.
Wind, Julia, et al.. (2012). ABI4: versatile activator and repressor. Trends in Plant Science. 18(3). 125–132. 130 indexed citations
15.
Hummel, Maureen, et al.. (2009). Sucrose Control of Translation Mediated by an Upstream Open Reading Frame-Encoded Peptide    . PLANT PHYSIOLOGY. 150(3). 1356–1367. 136 indexed citations
16.
Weltmeier, Fridtjof, Andrea Ehlert, Katrin Dietrich, et al.. (2008). Expression patterns within the Arabidopsis C/S1 bZIP transcription factor network: availability of heterodimerization partners controls gene expression during stress response and development. Plant Molecular Biology. 69(1-2). 107–119. 129 indexed citations
17.
Johannesson, Henrik, Yan Wang, Johannes Hanson, & Peter Engström. (2003). The Arabidopsis thaliana homeobox gene ATHB5 is a potential regulator of abscisic acid responsiveness in developing seedlings. Plant Molecular Biology. 51(5). 719–729. 121 indexed citations
19.
Hanson, Johannes, et al.. (2001). Sugar-dependent alterations in cotyledon and leaf development in transgenic plants expressing the HDZhdip gene ATHB13. Plant Molecular Biology. 45(3). 247–262. 100 indexed citations
20.
Hanson, Johannes, et al.. (1988). Preliminary investigation of a small fruit problem in kiwifruit, Actinidia deliciosa. New Zealand Journal of Crop and Horticultural Science. 16(4). 379–383.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026