Rita Groß‐Hardt

3.0k total citations · 1 hit paper
30 papers, 2.3k citations indexed

About

Rita Groß‐Hardt is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Rita Groß‐Hardt has authored 30 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 29 papers in Plant Science and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Rita Groß‐Hardt's work include Plant Molecular Biology Research (28 papers), Plant Reproductive Biology (28 papers) and Photosynthetic Processes and Mechanisms (10 papers). Rita Groß‐Hardt is often cited by papers focused on Plant Molecular Biology Research (28 papers), Plant Reproductive Biology (28 papers) and Photosynthetic Processes and Mechanisms (10 papers). Rita Groß‐Hardt collaborates with scholars based in Germany, Switzerland and United Kingdom. Rita Groß‐Hardt's co-authors include Thomas Laux, Achim Haecker, Holger Breuninger, Ananda K. Sarkar, Michael Lenhard, Christina Kägi, Ueli Grossniklaus, Nadine Baumann, Tobias Würschum and Stefanie Sprunck and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Rita Groß‐Hardt

30 papers receiving 2.3k citations

Hit Papers

Expression dynamics of WOX genes mark cell fate decisions... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita Groß‐Hardt Germany 22 2.2k 2.1k 307 49 46 30 2.3k
Martín A. Mecchia Argentina 16 1.7k 0.8× 1.3k 0.6× 105 0.3× 9 0.2× 66 1.4× 18 1.8k
Adam Vivian‐Smith Norway 12 1.1k 0.5× 846 0.4× 52 0.2× 23 0.5× 42 0.9× 19 1.2k
Erica Mica Italy 13 1.2k 0.6× 788 0.4× 49 0.2× 37 0.8× 43 0.9× 20 1.3k
Mitsugu Eiguchi Japan 17 1.5k 0.7× 1.1k 0.6× 132 0.4× 11 0.2× 265 5.8× 23 1.7k
Simon Renny‐Byfield United States 16 1.0k 0.5× 686 0.3× 233 0.8× 24 0.5× 220 4.8× 19 1.2k
Keita Suwabe Japan 25 2.0k 0.9× 1.2k 0.6× 274 0.9× 233 4.8× 312 6.8× 46 2.2k
Katsunori Hatakeyama Japan 25 2.6k 1.2× 1.9k 0.9× 638 2.1× 282 5.8× 118 2.6× 54 2.8k
Andrew Spriggs Australia 11 824 0.4× 423 0.2× 161 0.5× 24 0.5× 98 2.1× 14 976
Timothy Kelliher United States 13 1.2k 0.6× 1.1k 0.6× 131 0.4× 10 0.2× 158 3.4× 16 1.4k
Alexander Goldshmidt United States 17 2.8k 1.3× 2.1k 1.0× 149 0.5× 8 0.2× 299 6.5× 23 2.9k

Countries citing papers authored by Rita Groß‐Hardt

Since Specialization
Citations

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

Fields of papers citing papers by Rita Groß‐Hardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Groß‐Hardt. 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 Rita Groß‐Hardt. The network helps show where Rita Groß‐Hardt may publish in the future.

Co-authorship network of co-authors of Rita Groß‐Hardt

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Groß‐Hardt. A scholar is included among the top collaborators of Rita Groß‐Hardt 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 Rita Groß‐Hardt. Rita Groß‐Hardt 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.
Groß‐Hardt, Rita, et al.. (2023). ECS1 and ECS2 suppress polyspermy and the formation of haploid plants by promoting double fertilization. eLife. 12. 16 indexed citations
2.
Völz, Ronny, et al.. (2021). Dual and opposing roles of EIN3 reveal a generation conflict during seed growth. Molecular Plant. 15(2). 363–371. 16 indexed citations
3.
Groß‐Hardt, Rita, et al.. (2020). Reproductive Multitasking: The Female Gametophyte. Annual Review of Plant Biology. 71(1). 517–546. 53 indexed citations
4.
Palovaara, Joakim, et al.. (2018). Development and function of the flowering plant female gametophyte. Current topics in developmental biology. 131. 401–434. 36 indexed citations
5.
Fuchert, G., et al.. (2017). Triparental plants provide direct evidence for polyspermy induced polyploidy. Nature Communications. 8(1). 1033–1033. 27 indexed citations
6.
Erdmann, Robert M., Anja Hoffmann, Heidi-Kristin Walter, et al.. (2017). Molecular movement in the Arabidopsis thaliana female gametophyte. Plant Reproduction. 30(3). 141–146. 23 indexed citations
7.
Groß‐Hardt, Rita, et al.. (2016). Patterning the Female Gametophyte of Flowering Plants. PLANT PHYSIOLOGY. 173(1). 122–129. 26 indexed citations
8.
Kägi, Christina, et al.. (2016). Polyspermy barriers: a plant perspective. Current Opinion in Plant Biology. 35. 131–137. 25 indexed citations
9.
Maruyama, Daisuke, Ronny Völz, Hidenori Takeuchi, et al.. (2015). Rapid Elimination of the Persistent Synergid through a Cell Fusion Mechanism. Cell. 161(4). 907–918. 97 indexed citations
10.
Wunderlich, Markus, Rita Groß‐Hardt, & F. Schöffl. (2014). Heat shock factor HSFB2a involved in gametophyte development of Arabidopsis thaliana and its expression is controlled by a heat-inducible long non-coding antisense RNA. Plant Molecular Biology. 85(6). 541–550. 117 indexed citations
11.
Groß‐Hardt, Rita, et al.. (2014). Love is a battlefield: programmed cell death during fertilization. Journal of Experimental Botany. 65(5). 1323–1330. 19 indexed citations
12.
Völz, Ronny, et al.. (2013). Ethylene Signaling Is Required for Synergid Degeneration and the Establishment of a Pollen Tube Block. Developmental Cell. 25(3). 310–316. 121 indexed citations
13.
Völz, Ronny, et al.. (2011). LACHESIS -dependent egg-cell signaling regulates the development of female gametophytic cells. Development. 139(3). 498–502. 33 indexed citations
14.
Sprunck, Stefanie & Rita Groß‐Hardt. (2011). Nuclear behavior, cell polarity, and cell specification in the female gametophyte. Sexual Plant Reproduction. 24(2). 123–136. 75 indexed citations
15.
Völz, Ronny & Rita Groß‐Hardt. (2010). Female Gametophytic Mutants: Diagnosis and Characterization. Methods in molecular biology. 655. 143–153. 3 indexed citations
16.
Kägi, Christina & Rita Groß‐Hardt. (2009). Analyzing female gametophyte development and function: There is more than one way to crack an egg. European Journal of Cell Biology. 89(2-3). 258–261. 4 indexed citations
17.
Moll, Cordula, et al.. (2008). Mutants with aberrant numbers of gametic cells shed new light on old questions. Plant Biology. 10(5). 529–533. 4 indexed citations
18.
Moll, Cordula, Christina Kägi, Nadine Baumann, et al.. (2008). CLO/GFA1 and ATO are novel regulators of gametic cell fate in plants. The Plant Journal. 56(6). 913–921. 102 indexed citations
19.
Haecker, Achim, et al.. (2004). Expression dynamics of WOX genes mark cell fate decisions during early embryonic patterning in Arabidopsis thaliana. Development. 131(3). 657–668. 695 indexed citations breakdown →
20.
Sieber, Patrick, Jacqueline Gheyselinck, Rita Groß‐Hardt, et al.. (2004). Pattern formation during early ovule development in Arabidopsis thaliana. Developmental Biology. 273(2). 321–334. 119 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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