Michel Lacasa

40 total papers · 1.6k total citations
37 papers, 1.4k citations indexed

About

Michel Lacasa is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Michel Lacasa has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Surgery. Recurrent topics in Michel Lacasa's work include Digestive system and related health (10 papers), Pancreatic function and diabetes (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). Michel Lacasa is often cited by papers focused on Digestive system and related health (10 papers), Pancreatic function and diabetes (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). Michel Lacasa collaborates with scholars based in France, United Kingdom and United States. Michel Lacasa's co-authors include Monique Rousset, A Zweibaum, Véronique Carrière, Dallas M. Swallow, Dalila Darmoul, Germain Trugnan, Isabelle Chantret, Agnès Ribeiro, Alain Barbat and Pascale Krejbich‐Trotot and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Michel Lacasa

37 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Michel Lacasa 659 382 365 324 189 37 1.4k
Jiangbo Wang 1.1k 1.6× 250 0.7× 265 0.7× 187 0.6× 283 1.5× 42 1.7k
D. G. Scarpelli 541 0.8× 138 0.4× 395 1.1× 290 0.9× 120 0.6× 38 1.7k
Byung H. Jhun 1.2k 1.8× 276 0.7× 230 0.6× 266 0.8× 86 0.5× 46 1.8k
Judit Markovits 855 1.3× 311 0.8× 325 0.9× 99 0.3× 124 0.7× 34 1.6k
M. Kay Washington 739 1.1× 225 0.6× 556 1.5× 382 1.2× 105 0.6× 34 1.6k
Snehal Naik 573 0.9× 387 1.0× 257 0.7× 454 1.4× 235 1.2× 40 1.3k
W Northemann 615 0.9× 241 0.6× 257 0.7× 226 0.7× 170 0.9× 32 1.5k
Bernard H. Davis 713 1.1× 177 0.5× 231 0.6× 233 0.7× 445 2.4× 39 1.7k
Howard Wong 671 1.0× 200 0.5× 199 0.5× 375 1.2× 128 0.7× 40 1.6k
Eric Sibley 627 1.0× 447 1.2× 105 0.3× 328 1.0× 87 0.5× 41 1.3k

Countries citing papers authored by Michel Lacasa

Since Specialization
Citations

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

Fields of papers citing papers by Michel Lacasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Lacasa

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