Ghislaine Gendrot

2.6k citations
21 papers · 2.0k indexed · 1 hit paper · h-index 17
Topics
Photosynthetic Processes and Mechanisms (8 papers)Plant Molecular Biology Research (7 papers)DNA Repair Mechanisms (6 papers)

In The Last Decade

Ghislaine Gendrot

21 papers receiving 2.0k citations

Hit Papers

Seed filling in domesticated maize and rice depends on SW...20152026201820222015100200300

Peers

Ghislaine Gendrot
Comparison fields: 5 of 78
  • Plant Science 1.4k
  • Molecular Biology 1.3k
  • Genetics 235
  • Biochemistry 166
  • Cell Biology 141
Replace Luc Mathis with:
Luc Mathis France
Matthew McCormack United States
Mark Zander United States
Houping Wang China
Shiquan Wang China
Liqiang He China
Enrico Magnani France
Manuela Neumann Germany
Shuancang Yu China
Dominique Audenaert Belgium
Ghislaine Gendrot relative to Luc Mathis France Luc Mathis's profile →
Citations per field
00.5×1.5×2.4×
Luc Mathis · 1×
Citations per year

Countries citing papers authored by Ghislaine Gendrot

Since Specialization
Citations

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

Fields of papers citing papers by Ghislaine Gendrot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghislaine Gendrot

This figure shows the co-authorship network connecting the top 25 collaborators of Ghislaine Gendrot. A scholar is included among the top collaborators of Ghislaine Gendrot 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 Ghislaine Gendrot. Ghislaine Gendrot 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
#WorkIndexed citations
1 46
2 199
3
Seed filling in domesticated maize and rice depends on SWEET-mediated hexose transportbreakdown →
380
4 36
5 20
6 39
7 51
8 176
9 129
10 137
11 48
12 95
13 156
14 205
15
The Arabidopsis MEI1 gene encodes a protein with five BRCT domains that is involved in meiosis-specific DNA repair events independent of SPO11 -induced DSBs
3
16 114
17 15
18 6
19 4
20 22

About Ghislaine Gendrot

Ghislaine Gendrot is a scholar working on Aging, Endocrine and Autonomic Systems and Plant Science, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (8 papers), Plant Molecular Biology Research (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Plant Science (1.4k citations), Biochemistry (166 citations) and Molecular Biology (1.3k citations). Ghislaine Gendrot has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Mathilde Grelon, Daniel Vezon, Peter Rogowsky, Liudmila Chelysheva, Raphaël Mercier, Davide Sosso, Nathalie Vrielynck, Aurélie Chambon, Lucie Pereira and Arnaud De Muyt. Their work appears in journals such as Nature Genetics, The EMBO Journal and The Plant Cell.

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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