Marie Scarabel

13 total papers · 996 total citations
8 papers, 822 citations indexed

About

Marie Scarabel is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Marie Scarabel has authored 8 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pharmacology. Recurrent topics in Marie Scarabel's work include 14-3-3 protein interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Ubiquitin and proteasome pathways (3 papers). Marie Scarabel is often cited by papers focused on 14-3-3 protein interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Ubiquitin and proteasome pathways (3 papers). Marie Scarabel collaborates with scholars based in France, United Kingdom and Germany. Marie Scarabel's co-authors include Alastair Aitken, Nick Morrice, Greg B. G. Moorhead, Pauline Douglas, Carol MacKintosh, M. Chaudhri, Jc Cortay, Didier Négre, Milton H. Saier and Alain J. Cozzone and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Current Biology.

In The Last Decade

Marie Scarabel

8 papers receiving 800 citations

Author Peers

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

Author Last Decade Papers Cites
Marie Scarabel 666 222 128 77 62 8 822
Steven J. Vollmer 666 1.0× 298 1.3× 114 0.9× 77 1.0× 135 2.2× 12 865
Robert F. Geever 628 0.9× 221 1.0× 136 1.1× 87 1.1× 56 0.9× 18 811
Frank Vanrobaeys 537 0.8× 99 0.4× 148 1.2× 90 1.2× 49 0.8× 18 1.0k
D M Kinney 707 1.1× 105 0.5× 101 0.8× 19 0.2× 85 1.4× 11 823
S.‐C. Kuo 519 0.8× 156 0.7× 44 0.3× 53 0.7× 90 1.5× 15 739
Pieter de Geus 578 0.9× 66 0.3× 202 1.6× 35 0.5× 94 1.5× 13 828
Sydney Brenner 511 0.8× 86 0.4× 85 0.7× 60 0.8× 24 0.4× 6 747
J C Jauniaux 595 0.9× 82 0.4× 132 1.0× 27 0.4× 77 1.2× 7 895
Eric I. Sun 495 0.7× 187 0.8× 126 1.0× 31 0.4× 49 0.8× 16 787
Shantanu Karkare 723 1.1× 116 0.5× 54 0.4× 75 1.0× 27 0.4× 8 973

Countries citing papers authored by Marie Scarabel

Since Specialization
Citations

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

Fields of papers citing papers by Marie Scarabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Scarabel

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Scarabel. A scholar is included among the top collaborators of Marie Scarabel 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 Marie Scarabel. Marie Scarabel 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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