Markus Kuhlmann

2.0k total citations
57 papers, 1.4k citations indexed

About

Markus Kuhlmann is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Markus Kuhlmann has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 38 papers in Molecular Biology and 6 papers in Ecology. Recurrent topics in Markus Kuhlmann's work include Plant Molecular Biology Research (24 papers), Plant nutrient uptake and metabolism (8 papers) and Chromosomal and Genetic Variations (8 papers). Markus Kuhlmann is often cited by papers focused on Plant Molecular Biology Research (24 papers), Plant nutrient uptake and metabolism (8 papers) and Chromosomal and Genetic Variations (8 papers). Markus Kuhlmann collaborates with scholars based in Germany, Iran and Philippines. Markus Kuhlmann's co-authors include Michael Florian Mette, Wolfgang Dröge‐Laser, Thorsten Heinekamp, Nese Sreenivasulu, Christiane Seiler, Twan Rutten, Patrick Schweizer, Seyyed Hamidreza Hashemipetroudi, Dimitar Douchkov and Marc Strickert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Markus Kuhlmann

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Kuhlmann Germany 23 1.0k 825 104 96 67 57 1.4k
Hye Ran Kim South Korea 16 643 0.6× 491 0.6× 231 2.2× 82 0.9× 46 0.7× 43 1.2k
Peter C Bundock Australia 18 965 0.9× 689 0.8× 201 1.9× 54 0.6× 173 2.6× 34 1.3k
François Guérineau France 20 959 0.9× 1.2k 1.5× 52 0.5× 50 0.5× 30 0.4× 32 1.6k
Hao Feng China 24 1.3k 1.2× 642 0.8× 46 0.4× 64 0.7× 249 3.7× 71 1.6k
Jun Qin China 24 1.4k 1.3× 385 0.5× 160 1.5× 59 0.6× 114 1.7× 88 1.6k
Lingli Dong China 22 1.2k 1.1× 503 0.6× 262 2.5× 57 0.6× 33 0.5× 39 1.5k
José García‐Martínez Spain 24 487 0.5× 1.2k 1.5× 91 0.9× 35 0.4× 81 1.2× 55 1.7k
Dimitar Douchkov Germany 18 1.4k 1.4× 614 0.7× 47 0.5× 34 0.4× 169 2.5× 33 1.6k
Jian‐Hua Zhao China 21 1.5k 1.4× 738 0.9× 70 0.7× 78 0.8× 122 1.8× 62 1.9k

Countries citing papers authored by Markus Kuhlmann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kuhlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kuhlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Kuhlmann. A scholar is included among the top collaborators of Markus Kuhlmann 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 Markus Kuhlmann. Markus Kuhlmann 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.
Rugen, Nils, Johannes Thiel, Markus Kuhlmann, et al.. (2025). A spatio-temporal transcriptomic and proteomic dataset of developing Brassica napus seeds. Scientific Data. 12(1). 759–759.
2.
Govind, Geetha, Göetz Hensel, Sandip M. Kale, et al.. (2024). HOMEOBOX2, the paralog of SIX-ROWED SPIKE1/HOMEOBOX1, is dispensable for barley spikelet development. Journal of Experimental Botany. 75(10). 2900–2916. 2 indexed citations
3.
Meyer, Rhonda C., Kathleen Weigelt‐Fischer, Henning Tschiersch, et al.. (2023). Dynamic growth QTL action in diverse light environments: characterization of light regime-specific and stable QTL in Arabidopsis. Journal of Experimental Botany. 74(17). 5341–5362. 5 indexed citations
4.
Kishchenko, Olena, Markus Kuhlmann, Henning Tschiersch, et al.. (2023). Cryopreservation of Duckweed Genetic Diversity as Model for Long-Term Preservation of Aquatic Flowering Plants. Plants. 12(18). 3302–3302. 4 indexed citations
5.
Hashemipetroudi, Seyyed Hamidreza, et al.. (2022). Ion content, antioxidant enzyme activity and transcriptional response under salt stress and recovery condition in the halophyte grass Aeluropus littoralis. BMC Research Notes. 15(1). 201–201. 7 indexed citations
6.
Hashemipetroudi, Seyyed Hamidreza, Yi‐Tzu Kuo, Mariana Báez, et al.. (2022). Initial Description of the Genome of Aeluropus littoralis, a Halophile Grass. Frontiers in Plant Science. 13. 906462–906462. 7 indexed citations
7.
Seiler, Christiane, et al.. (2021). INTERMEDIUM-C mediates the shade-induced bud growth arrest in barley. Journal of Experimental Botany. 73(7). 1963–1977. 4 indexed citations
8.
Kuhlmann, Markus, et al.. (2020). Epigenetic Variation at a Genomic Locus Affecting Biomass Accumulation under Low Nitrogen in Arabidopsis thaliana. Agronomy. 10(5). 636–636. 6 indexed citations
9.
Nematzadeh, Ghorbanali, et al.. (2020). Expression pattern analysis of heat shock transcription factors (HSFs) gene family in Aeluropus littoralis under salinity stress.. 13(2). 1 indexed citations
10.
Demidov, Dmitri, Stefan Heckmann, Oda Weiß, et al.. (2019). Deregulated Phosphorylation of CENH3 at Ser65 Affects the Development of Floral Meristems in Arabidopsis thaliana. Frontiers in Plant Science. 10. 928–928. 6 indexed citations
11.
Anacleto, Roslen, Saurabh Badoni, Sabiha Parween, et al.. (2018). Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice. Plant Biotechnology Journal. 17(7). 1261–1275. 57 indexed citations
12.
Seiler, Christiane, et al.. (2018). Analysis of Developing Rice Grain Transcriptome Using the Agilent Microarray Platform. Methods in molecular biology. 1892. 277–300. 3 indexed citations
13.
Seiler, Christiane & Markus Kuhlmann. (2018). Quantification of DNA Methylation as Biomarker for Grain Quality. Methods in molecular biology. 1892. 301–310.
14.
Harshavardhan, Vokkaliga T., Lê Văn Sơn, Christiane Seiler, et al.. (2014). AtRD22 and AtUSPL1, Members of the Plant-Specific BURP Domain Family Involved in Arabidopsis thaliana Drought Tolerance. PLoS ONE. 9(10). e110065–e110065. 80 indexed citations
15.
Finke, Andreas, Markus Kuhlmann, & Michael Florian Mette. (2012). IDN2 has a role downstream of siRNA formation in RNA-directed DNA methylation. Epigenetics. 7(8). 950–960. 25 indexed citations
16.
Fischer, Ute, Markus Kuhlmann, Aleš Pečinka, Renate Schmidt, & Michael Florian Mette. (2007). Local DNA features affect RNA‐directed transcriptional gene silencing and DNA methylation. The Plant Journal. 53(1). 1–10. 32 indexed citations
17.
Kuhlmann, Markus. (2005). Silencing of retrotransposons in Dictyostelium by DNA methylation and RNAi. Nucleic Acids Research. 33(19). 6405–6417. 84 indexed citations
18.
Heinekamp, Thorsten, Markus Kuhlmann, Marine Froissard, et al.. (2004). The tobacco bZIP transcription factor BZI‐1 binds theGH3promoterin vivoand modulates auxin‐induced transcription. The Plant Journal. 38(2). 298–309. 40 indexed citations
20.
Oberringer, Martin, et al.. (1995). Differential Expression of Heat Shock Protein 70 in Well Healing and Chronic Human Wound Tissue. Biochemical and Biophysical Research Communications. 214(3). 1009–1014. 60 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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