Sophie Leclerc

28 total papers · 4.5k total citations
19 papers, 3.8k citations indexed

About

Sophie Leclerc is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Sophie Leclerc has authored 19 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in Sophie Leclerc's work include Cancer-related Molecular Pathways (9 papers), Microtubule and mitosis dynamics (6 papers) and Biochemical and Molecular Research (4 papers). Sophie Leclerc is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Microtubule and mitosis dynamics (6 papers) and Biochemical and Molecular Research (4 papers). Sophie Leclerc collaborates with scholars based in France, United States and Czechia. Sophie Leclerc's co-authors include Laurent Meijer, Libor Havlı́ček, Walter Filgueira de Azevedo, Gerhard Eisenbrand, Doris Marko, Miroslav Strnad, Jaroslav Veselý, Maryse Leost, Nathanael S. Gray and Peter G. Schultz and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Cell Biology.

In The Last Decade

Sophie Leclerc

19 papers receiving 3.7k citations

Hit Papers

Indirubin, the active con... 1994 2026 2004 2015 1999 1998 2001 1997 1994 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
Sophie Leclerc 2.3k 1.3k 1.1k 616 304 19 3.8k
Daniel Zaharevitz 2.2k 1.0× 1.2k 0.9× 1.1k 1.0× 542 0.9× 186 0.6× 51 4.0k
Megan M. McLaughlin 4.1k 1.8× 1.3k 1.0× 561 0.5× 487 0.8× 104 0.3× 25 5.6k
Jenny Bain 5.5k 2.4× 1.0k 0.8× 683 0.6× 701 1.1× 188 0.6× 29 7.3k
Maryse Leost 2.0k 0.9× 688 0.5× 1.3k 1.2× 334 0.5× 132 0.4× 20 3.3k
Dean E. McNulty 3.8k 1.7× 1.4k 1.1× 528 0.5× 532 0.9× 133 0.4× 35 5.8k
Peter McDonnell 4.4k 1.9× 1.6k 1.2× 517 0.5× 479 0.8× 191 0.6× 21 7.4k
Elaine Rands 4.8k 2.1× 1.0k 0.8× 421 0.4× 411 0.7× 160 0.5× 41 6.7k
George P. Livi 4.5k 2.0× 1.3k 1.0× 535 0.5× 682 1.1× 100 0.3× 51 6.4k
Libor Havlı́ček 1.5k 0.7× 945 0.7× 601 0.6× 438 0.7× 292 1.0× 57 2.6k
Curtis T. Keith 3.8k 1.7× 888 0.7× 419 0.4× 395 0.6× 173 0.6× 11 5.1k

Countries citing papers authored by Sophie Leclerc

Since Specialization
Citations

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

Fields of papers citing papers by Sophie Leclerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophie Leclerc

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