Emmanuelle Lacène

95 total papers · 2.7k total citations
32 papers, 1.5k citations indexed

About

Emmanuelle Lacène is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Emmanuelle Lacène has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Cell Biology. Recurrent topics in Emmanuelle Lacène's work include Muscle Physiology and Disorders (14 papers), Cardiomyopathy and Myosin Studies (10 papers) and Nuclear Structure and Function (8 papers). Emmanuelle Lacène is often cited by papers focused on Muscle Physiology and Disorders (14 papers), Cardiomyopathy and Myosin Studies (10 papers) and Nuclear Structure and Function (8 papers). Emmanuelle Lacène collaborates with scholars based in France, Germany and Canada. Emmanuelle Lacène's co-authors include Norma B. Romero, Jocelyn Laporte, Michel Fardeau, Marc Bitoun, Pascale Guicheney, B. Eymard, Gisèle Bonne, Guy Brochier, Pascal Laforêt and Maud Beuvin and has published in prestigious journals such as Nature Genetics, The Journal of Cell Biology and Brain.

In The Last Decade

Emmanuelle Lacène

29 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Emmanuelle Lacène 1.2k 415 370 356 211 32 1.5k
Susana Quijano‐Roy 1.0k 0.8× 378 0.9× 150 0.4× 273 0.8× 231 1.1× 32 1.2k
Fiona Norwood 740 0.6× 303 0.7× 258 0.7× 206 0.6× 257 1.2× 26 1.1k
Terri G. Thompson 888 0.7× 331 0.8× 271 0.7× 220 0.6× 196 0.9× 15 1.2k
J. Sarparanta 1.1k 0.9× 612 1.5× 216 0.6× 224 0.6× 208 1.0× 30 1.4k
Belinda S. Cowling 1.3k 1.0× 481 1.2× 803 2.2× 239 0.7× 377 1.8× 48 1.8k
Marco Savarese 970 0.8× 471 1.1× 165 0.4× 268 0.8× 222 1.1× 72 1.2k
Judy U. Earley 1.4k 1.2× 415 1.0× 254 0.7× 158 0.4× 142 0.7× 38 1.8k
Giuliana Galluzzi 1.4k 1.1× 409 1.0× 99 0.3× 306 0.9× 331 1.6× 26 1.6k
Genri Kawahara 1.4k 1.1× 236 0.6× 336 0.9× 219 0.6× 118 0.6× 33 1.6k
Michele Hadhazy 1.4k 1.1× 405 1.0× 245 0.7× 155 0.4× 175 0.8× 30 1.6k

Countries citing papers authored by Emmanuelle Lacène

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle Lacène

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle Lacène

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