Rabea Meyberg

1.3k total citations · 1 hit paper
14 papers, 526 citations indexed

About

Rabea Meyberg is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Rabea Meyberg has authored 14 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 6 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Rabea Meyberg's work include Plant Molecular Biology Research (8 papers), Bryophyte Studies and Records (5 papers) and Plant Reproductive Biology (3 papers). Rabea Meyberg is often cited by papers focused on Plant Molecular Biology Research (8 papers), Bryophyte Studies and Records (5 papers) and Plant Reproductive Biology (3 papers). Rabea Meyberg collaborates with scholars based in Germany, United States and United Kingdom. Rabea Meyberg's co-authors include Stefan A. Rensing, Magdalena Bezanilla, Shu‐Zon Wu, Bernard Goffinet, Pierre‐François Perroud, Mathias Zeidler, Jon Hughes, Fabian B. Haas, Manuel Hiß and Kristian K Ullrich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and The Plant Cell.

In The Last Decade

Rabea Meyberg

14 papers receiving 522 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Moss Physcomitrium (Physcomitrella) patens: A Model Organism for Non-Seed Plants

2020 192 citations Stefan A. Rensing, Bernard Goffinet et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rabea Meyberg Germany	10	424	319	143	49	29	14	526
Manuel Hiß Germany	10	233 0.5×	201 0.6×	77 0.5×	28 0.6×	19 0.7×	10	327
Carlos Ortiz‐Ramírez United States	8	470 1.1×	365 1.1×	65 0.5×	19 0.4×	14 0.5×	10	601
Eftychios Frangedakis United Kingdom	10	250 0.6×	215 0.7×	140 1.0×	33 0.7×	13 0.4×	17	356
C. D. Knight United Kingdom	13	732 1.7×	371 1.2×	153 1.1×	54 1.1×	33 1.1×	17	857
K. Ohyama Japan	16	341 0.8×	498 1.6×	120 0.8×	41 0.8×	20 0.7×	23	625
Enas Qudeimat Saudi Arabia	6	336 0.8×	215 0.7×	54 0.4×	26 0.5×	5 0.2×	7	411
Katarina Landberg Sweden	12	560 1.3×	386 1.2×	141 1.0×	13 0.3×	37 1.3×	19	599
Bruno Catarino United Kingdom	5	349 0.8×	251 0.8×	96 0.7×	16 0.3×	25 0.9×	6	403
Björn Walles Sweden	15	267 0.6×	354 1.1×	219 1.5×	11 0.2×	15 0.5×	39	447
Steffen Lau Germany	10	722 1.7×	646 2.0×	71 0.5×	25 0.5×	57 2.0×	12	833

Countries citing papers authored by Rabea Meyberg

Since Specialization

Citations

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

Fields of papers citing papers by Rabea Meyberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rabea Meyberg

This figure shows the co-authorship network connecting the top 25 collaborators of Rabea Meyberg. A scholar is included among the top collaborators of Rabea Meyberg 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 Rabea Meyberg. Rabea Meyberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Meyberg, Rabea, et al.. (2023). DELLA proteins regulate spore germination and reproductive development in Physcomitrium patens. New Phytologist. 238(2). 654–672. 5 indexed citations

Vollmeister, Evelyn, Rabea Meyberg, Kristian K Ullrich, et al.. (2023). A DELAY OF GERMINATION 1 (DOG1)‐like protein regulates spore germination in the moss Physcomitrium patens. The Plant Journal. 117(3). 909–923. 4 indexed citations

Renzaglia, Karen S., Noé Fernández‐Pozo, Fabien Nogué, et al.. (2021). HAG1 and SWI3A/B control of male germ line development in P. patens suggests conservation of epigenetic reproductive control across land plants. Plant Reproduction. 34(2). 149–173. 13 indexed citations

Perroud, Pierre‐François, Fabian B. Haas, Rabea Meyberg, et al.. (2021). A vertically transmitted amalgavirus is present in certain accessions of the bryophyte Physcomitrium patens. The Plant Journal. 108(6). 1786–1797. 3 indexed citations

Rensing, Stefan A., Bernard Goffinet, Rabea Meyberg, Shu‐Zon Wu, & Magdalena Bezanilla. (2020). The Moss Physcomitrium (Physcomitrella) patens: A Model Organism for Non-Seed Plants. The Plant Cell. 32(5). 1361–1376. 192 indexed citations breakdown →

Meyberg, Rabea, Pierre‐François Perroud, Fabian B. Haas, et al.. (2020). Characterisation of evolutionarily conserved key players affecting eukaryotic flagellar motility and fertility using a moss model. New Phytologist. 227(2). 440–454. 28 indexed citations

Perroud, Pierre‐François, Rabea Meyberg, Viktor Demko, et al.. (2020). DEK1 displays a strong subcellular polarity during Physcomitrella patens 3D growth. New Phytologist. 226(4). 1029–1041. 19 indexed citations

Haas, Fabian B., Noé Fernández‐Pozo, Rabea Meyberg, et al.. (2020). Single Nucleotide Polymorphism Charting of P. patens Reveals Accumulation of Somatic Mutations During in vitro Culture on the Scale of Natural Variation by Selfing. Frontiers in Plant Science. 11. 813–813. 22 indexed citations

Kreutz, Clemens, et al.. (2020). A blind and independent benchmark study for detecting differentially methylated regions in plants. Bioinformatics. 36(11). 3314–3321. 9 indexed citations

10.

Fernández‐Pozo, Noé, Fabian B. Haas, Rabea Meyberg, et al.. (2019). PEATmoss (Physcomitrella Expression Atlas Tool): a unified gene expression atlas for the model plant Physcomitrella patens. The Plant Journal. 102(1). 165–177. 56 indexed citations

11.

Arif, M. Asif, Manuel Hiß, Hauke Busch, et al.. (2019). ABA-Induced Vegetative Diaspore Formation in Physcomitrella patens. Frontiers in Plant Science. 10. 315–315. 32 indexed citations

12.

Perroud, Pierre‐François, Rabea Meyberg, & Stefan A. Rensing. (2018). Physcomitrella patens Reute mCherry as a tool for efficient crossing within and between ecotypes. Plant Biology. 21(S1). 143–149. 17 indexed citations

13.

Hiß, Manuel, Rabea Meyberg, Jens Westermann, et al.. (2017). Sexual reproduction, sporophyte development and molecular variation in the model moss Physcomitrella patens: introducing the ecotype Reute. The Plant Journal. 90(3). 606–620. 43 indexed citations

14.

Meyberg, Rabea, et al.. (2012). A phytochrome–phototropin light signaling complex at the plasma membrane. Proceedings of the National Academy of Sciences. 109(30). 12231–12236. 83 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.

Explore authors with similar magnitude of impact