Marek Mutwil

4.9k total citations
77 papers, 2.8k citations indexed

About

Marek Mutwil is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Marek Mutwil has authored 77 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 28 papers in Plant Science and 5 papers in Cell Biology. Recurrent topics in Marek Mutwil's work include Bioinformatics and Genomic Networks (21 papers), Photosynthetic Processes and Mechanisms (19 papers) and Plant biochemistry and biosynthesis (14 papers). Marek Mutwil is often cited by papers focused on Bioinformatics and Genomic Networks (21 papers), Photosynthetic Processes and Mechanisms (19 papers) and Plant biochemistry and biosynthesis (14 papers). Marek Mutwil collaborates with scholars based in Singapore, Germany and United States. Marek Mutwil's co-authors include Staffan Persson, Sebastian Proost, Björn Usadel, Seung Y. Rhee, Federico M. Giorgi, Zoran Nikoloski, Alisdair R. Fernie, Colin Ruprecht, Takayuki Tohge and William G. T. Willats and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Marek Mutwil

72 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Mutwil Singapore 27 2.0k 1.5k 264 206 104 77 2.8k
Ramona Gruetzner Germany 7 2.2k 1.1× 1.1k 0.7× 400 1.5× 152 0.7× 159 1.5× 8 2.7k
Antoine H. P. America Netherlands 34 1.5k 0.7× 1.5k 1.0× 174 0.7× 110 0.5× 84 0.8× 76 3.0k
Peng Lü China 20 2.1k 1.0× 1.1k 0.7× 408 1.5× 136 0.7× 108 1.0× 87 3.0k
Ko Kato Japan 26 2.0k 1.0× 1.4k 0.9× 100 0.4× 112 0.5× 41 0.4× 88 2.5k
Nicola J. Patron United Kingdom 30 2.8k 1.4× 1.9k 1.2× 263 1.0× 186 0.9× 592 5.7× 68 3.9k
Takeshi Yoshizumi Japan 27 2.0k 1.0× 2.3k 1.5× 108 0.4× 70 0.3× 71 0.7× 52 2.9k
Sebastian Proost Germany 24 1.9k 0.9× 1.7k 1.1× 342 1.3× 53 0.3× 92 0.9× 39 2.5k
Kentaro Inoue United States 28 2.0k 1.0× 1.2k 0.8× 78 0.3× 251 1.2× 94 0.9× 54 2.7k
Silin Zhong Hong Kong 40 4.6k 2.3× 4.8k 3.1× 396 1.5× 52 0.3× 69 0.7× 79 6.9k
Zoran Minić Canada 25 1.2k 0.6× 1.0k 0.7× 114 0.4× 298 1.4× 103 1.0× 79 2.1k

Countries citing papers authored by Marek Mutwil

Since Specialization
Citations

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

Fields of papers citing papers by Marek Mutwil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Mutwil

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Mutwil. A scholar is included among the top collaborators of Marek Mutwil 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 Marek Mutwil. Marek Mutwil 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.
Mutwil, Marek, et al.. (2025). Yeast Knowledge Graphs Database for Exploring Saccharomyces Cerevisiae and Schizosaccharomyces Pombe. Journal of Molecular Biology. 437(10). 169072–169072.
2.
Mutwil, Marek, et al.. (2024). Harnessing full-text publications for deep insights into C. elegans and Drosophila biomaps. BMC Genomics. 25(1). 1080–1080. 2 indexed citations
3.
Ferrari, Camilla, et al.. (2024). The circadian clock participates in seasonal growth in Norway spruce (Picea abies). Tree Physiology. 44(11). 1 indexed citations
4.
Yang, Yuzhou, Que Kong, Zhiming Ma, et al.. (2024). Phase separation of MYB73 regulates seed oil biosynthesis in Arabidopsis. PLANT PHYSIOLOGY. 197(2). 4 indexed citations
5.
Hong, Yan, et al.. (2023). A Metagenomic Survey of Wood Decay Fungi in the Urban Trees of Singapore. Journal of Fungi. 9(4). 460–460. 7 indexed citations
6.
Koh, Eugene, et al.. (2023). PEO : Plant Expression Omnibus – a comparative transcriptomic database for 103 Archaeplastida. The Plant Journal. 117(5). 1592–1603. 9 indexed citations
7.
Mutwil, Marek & Alisdair R. Fernie. (2023). Ancestral genome reconstruction for studies of the green lineage. Molecular Plant. 16(4). 657–659. 1 indexed citations
8.
9.
Mutwil, Marek, et al.. (2023). New molecular components that regulate the transcriptional hub in root hairs: coupling environmental signals with endogenous hormones to coordinate growth. Journal of Experimental Botany. 75(14). 4171–4179. 4 indexed citations
10.
Mutwil, Marek, et al.. (2022). Feature importance network reveals novel functional relationships between biological features in Arabidopsis thaliana. Frontiers in Plant Science. 13. 944992–944992. 2 indexed citations
11.
Mutwil, Marek, et al.. (2021). LSTrAP-Kingdom: an automated pipeline to generate annotated gene expression atlases for kingdoms of life. Bioinformatics. 37(18). 3053–3055. 4 indexed citations
12.
Ponti, Riccardo Delli & Marek Mutwil. (2021). Structural landscape of the complete genomes of dengue virus serotypes and other viral hemorrhagic fevers. BMC Genomics. 22(1). 9 indexed citations
13.
Ferrari, Camilla, Devendra Shivhare, Asher Pasha, et al.. (2020). Expression Atlas of Selaginella moellendorffii Provides Insights into the Evolution of Vasculature, Secondary Metabolism, and Roots. The Plant Cell. 32(4). 853–870. 33 indexed citations
14.
Tan, Qiao Wen, et al.. (2019). Diurnal.plant.tools: Comparative Transcriptomic and Co-expression Analyses of Diurnal Gene Expression of the Archaeplastida Kingdom. Plant and Cell Physiology. 61(1). 212–220. 7 indexed citations
15.
Ferrari, Camilla & Marek Mutwil. (2019). Gene expression analysis of Cyanophora paradoxa reveals conserved abiotic stress responses between basal algae and flowering plants. New Phytologist. 225(4). 1562–1577. 13 indexed citations
16.
Rosado-Souza, Laíse, Sebastian Proost, Michaël Moulin, et al.. (2019). Appropriate Thiamin Pyrophosphate Levels Are Required for Acclimation to Changes in Photoperiod. PLANT PHYSIOLOGY. 180(1). 185–197. 22 indexed citations
17.
Meyer, Etienne H., Camilla Ferrari, Neha Vaid, et al.. (2017). Ensemble gene function prediction database reveals genes important for complex I formation in Arabidopsis thaliana. New Phytologist. 217(4). 1521–1534. 22 indexed citations
18.
Wu, Si, Saleh Alseekh, Álvaro Cuadros‐Inostroza, et al.. (2016). Combined Use of Genome-Wide Association Data and Correlation Networks Unravels Key Regulators of Primary Metabolism in Arabidopsis thaliana. PLoS Genetics. 12(10). e1006363–e1006363. 59 indexed citations
19.
Tohge, Takayuki, Alexander Ivakov, Bernd Mueller‐Roeber, et al.. (2015). Salt-Related MYB1 Coordinates Abscisic Acid Biosynthesis and Signaling during Salt Stress in Arabidopsis. PLANT PHYSIOLOGY. 169(2). 1027–1041. 77 indexed citations
20.
Klie, Sebastian, Marek Mutwil, Staffan Persson, & Zoran Nikoloski. (2012). Inferring gene functions through dissection of relevance networks: interleaving the intra- and inter-species views. Molecular BioSystems. 8(9). 2233–2241. 8 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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