Sandrine Grava

12 total papers · 1.4k total citations
10 papers, 1.2k citations indexed

About

Sandrine Grava is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Sandrine Grava has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Plant Science. Recurrent topics in Sandrine Grava's work include Fungal and yeast genetics research (6 papers), Microtubule and mitosis dynamics (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Sandrine Grava is often cited by papers focused on Fungal and yeast genetics research (6 papers), Microtubule and mitosis dynamics (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Sandrine Grava collaborates with scholars based in Switzerland, France and United States. Sandrine Grava's co-authors include Yves Parmentier, Pascal Genschik, Esther Lechner, Shuichi Yanagisawa, Csaba Koncz, Thomas Potuschak, Yves Barral, Dimitris Liakopoulos, Justine Kusch and Jackie Vogel and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Developmental Cell.

In The Last Decade

Sandrine Grava

10 papers receiving 1.1k citations

Hit Papers

EIN3-Dependent Regulation... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sandrine Grava 796 679 405 24 23 10 1.2k
Safina Khan 875 1.1× 1.2k 1.8× 230 0.6× 26 1.1× 25 1.1× 25 1.5k
Chris J. Staiger 730 0.9× 602 0.9× 300 0.7× 8 0.3× 29 1.3× 11 1.0k
Yan Deng 690 0.9× 653 1.0× 621 1.5× 9 0.4× 7 0.3× 23 1.3k
John J. H. Shin 733 0.9× 540 0.8× 245 0.6× 28 1.2× 3 0.1× 9 1.1k
Beatriz Santos 869 1.1× 282 0.4× 434 1.1× 8 0.3× 23 1.0× 22 941
Christian Wenzl 856 1.1× 640 0.9× 257 0.6× 7 0.3× 21 0.9× 18 1.1k
Kazuo Tatebayashi 1.1k 1.4× 369 0.5× 317 0.8× 19 0.8× 7 0.3× 26 1.3k
Anne M. Smardon 994 1.2× 251 0.4× 118 0.3× 19 0.8× 10 0.4× 14 1.2k
Jun‐ya Shoji 722 0.9× 420 0.6× 431 1.1× 21 0.9× 4 0.2× 23 1.0k
Uta Praekelt 1.0k 1.3× 564 0.8× 236 0.6× 28 1.2× 7 0.3× 22 1.4k

Countries citing papers authored by Sandrine Grava

Since Specialization
Citations

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

Fields of papers citing papers by Sandrine Grava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandrine Grava

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

All Works

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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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