Benoît Lectez

865 citations
22 papers · 677 · h-index 15

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Glycosylation and Glycoproteins Research 3
    • Cancer-related gene regulation 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Protein Degradation and Inhibitors 2
    • Genetics and Neurodevelopmental Disorders 5

Benoît Lectez

22 papers receiving 672 citations

Peers

Benoît Lectez
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 92
  • Reproductive Medicine 84
  • Cellular and Molecular Neuroscience 112
  • Molecular Biology 396
  • Cell Biology 87
Replace Claudia Rutz with:
Claudia Rutz Germany
Didier Hentsch France
Stephanie García United States
Hong Tian China
Ching‐Hsiang Wu Taiwan
Adrian R. Pierotti United Kingdom
Johan Geysen Belgium
Anders Heding Denmark
S. C. Koerber United States
Laurie Gaspar Hungary
Benoît Lectez relative to Claudia Rutz Germany Claudia Rutz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Benoît Lectez

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Lectez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Lectez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Lectez Line = papers co-authored together Benoît Lectez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201375
3 200671
4 200770
5 201764
6 200958
7 201541
8 200834
9 201528
10 201426
11 201825
12 201321
13 201720
14 201617
15 201916
16 201711
17 20218
18 20157
19 20194
20 20172

About Benoît Lectez

Benoît Lectez is a scholar working on Molecular Biology, Genetics, Oncology, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 677 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer-related gene regulation (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Hypothalamic control of reproductive hormones (3 papers), Peptidase Inhibition and Analysis (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (92 citations), Reproductive Medicine (84 citations), Cellular and Molecular Neuroscience (112 citations), Molecular Biology (396 citations) and Cell Biology (87 citations). Benoît Lectez has collaborated with scholars based in Spain, Finland and United States. Frequent co-authors include Ugo Mayor, Juanma Ramírez, Nicolas Chartrel, Daniel Abankwa, So Young Lee, Rosa Barrio, Jérôme Leprince, David Chatenet, Maribel Franco and Sylvie Jégou. Their work appears in journals such as PLoS ONE, Journal of Neurochemistry, Human Molecular Genetics, Oncogene and Oncotarget.

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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