Vincent Lebrun

38 total papers · 1.2k total citations
26 papers, 1.0k citations indexed

About

Vincent Lebrun is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Vincent Lebrun has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Spectroscopy. Recurrent topics in Vincent Lebrun's work include RNA and protein synthesis mechanisms (5 papers), Molecular Sensors and Ion Detection (5 papers) and Chemical Synthesis and Analysis (4 papers). Vincent Lebrun is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Molecular Sensors and Ion Detection (5 papers) and Chemical Synthesis and Analysis (4 papers). Vincent Lebrun collaborates with scholars based in France, Switzerland and Belgium. Vincent Lebrun's co-authors include Thomas R. Ward, Valentin Köhler, Michela M. Pellizzoni, Tillmann Heinisch, Fabian Schwizer, Yifan Gu, Jared C. Lewis, Yasunori Okamoto, Raphael Reuter and Stefan Matile and has published in prestigious journals such as Chemical Reviews, Angewandte Chemie International Edition and Chemical Communications.

In The Last Decade

Vincent Lebrun

26 papers receiving 1.0k citations

Hit Papers

Artificial Metalloenzymes... 2017 2026 2020 2023 2017 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Vincent Lebrun 477 407 217 215 150 26 1.0k
Masaki Nojiri 652 1.4× 136 0.3× 215 1.0× 215 1.0× 131 0.9× 34 1.1k
Steven M. Berry 515 1.1× 164 0.4× 245 1.1× 376 1.7× 261 1.7× 32 997
Daniela Donghi 325 0.7× 574 1.4× 382 1.8× 271 1.3× 157 1.0× 37 1.2k
Dewain K. Garner 437 0.9× 227 0.6× 188 0.9× 410 1.9× 227 1.5× 13 911
Christopher J. Carrell 606 1.3× 170 0.4× 178 0.8× 256 1.2× 103 0.7× 29 1.1k
Łukasz Szyrwiel 416 0.9× 154 0.4× 156 0.7× 199 0.9× 190 1.3× 47 973
J.-L. Pierre 209 0.4× 314 0.8× 200 0.9× 325 1.5× 326 2.2× 25 1.1k
Abhik Mukhopadhyay 448 0.9× 209 0.5× 127 0.6× 216 1.0× 234 1.6× 33 958
Marc Creus 383 0.8× 406 1.0× 100 0.5× 203 0.9× 103 0.7× 27 906
Pierre Rousselot‐Pailley 400 0.8× 134 0.3× 161 0.7× 115 0.5× 143 1.0× 38 840

Countries citing papers authored by Vincent Lebrun

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Lebrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Lebrun

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