Michel Becuwe

21 total papers · 2.4k total citations
9 papers, 828 citations indexed

About

Michel Becuwe is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Michel Becuwe has authored 9 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cell Biology and 2 papers in Biochemistry. Recurrent topics in Michel Becuwe's work include Cellular transport and secretion (5 papers), Receptor Mechanisms and Signaling (3 papers) and Ubiquitin and proteasome pathways (2 papers). Michel Becuwe is often cited by papers focused on Cellular transport and secretion (5 papers), Receptor Mechanisms and Signaling (3 papers) and Ubiquitin and proteasome pathways (2 papers). Michel Becuwe collaborates with scholars based in France, United States and Spain. Michel Becuwe's co-authors include Tobias C. Walther, Robert V. Farese, Nina L. Gluchowski, Sébastien Léon, Olivier Vincent, Rosine Haguenauer‐Tsapis, Sandra Paiva, Margarida Casal, Carina Soares‐Cunha and Neide Vieira and has published in prestigious journals such as The Journal of Cell Biology, Cellular and Molecular Life Sciences and Molecular Biology of the Cell.

In The Last Decade

Michel Becuwe

9 papers receiving 824 citations

Hit Papers

Lipid droplets and liver ... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Michel Becuwe 502 257 254 233 119 9 828
Nina L. Gluchowski 313 0.6× 326 1.3× 111 0.4× 282 1.2× 138 1.2× 8 722
Linghai Li 415 0.8× 325 1.3× 204 0.8× 229 1.0× 299 2.5× 13 920
Aishwarya Sathyanarayan 381 0.8× 391 1.5× 161 0.6× 425 1.8× 268 2.3× 9 947
Micah B. Schott 374 0.7× 441 1.7× 249 1.0× 400 1.7× 186 1.6× 22 981
Meghana Rao 532 1.1× 528 2.1× 187 0.7× 140 0.6× 240 2.0× 10 963
Rebecca L. Smathers 559 1.1× 115 0.4× 113 0.4× 285 1.2× 158 1.3× 13 1.0k
Luca Fantoni 443 0.9× 97 0.4× 89 0.4× 307 1.3× 114 1.0× 8 1.0k
Sabine Daemen 334 0.7× 185 0.7× 157 0.6× 275 1.2× 321 2.7× 19 873
M F Hopgood 504 1.0× 115 0.4× 283 1.1× 155 0.7× 199 1.7× 20 910
Françoise Lasnier 436 0.9× 245 1.0× 235 0.9× 359 1.5× 307 2.6× 15 962

Countries citing papers authored by Michel Becuwe

Since Specialization
Citations

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

Fields of papers citing papers by Michel Becuwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Becuwe

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