Maéva Langouët

14 total papers · 792 total citations
9 papers, 459 citations indexed

About

Maéva Langouët is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Maéva Langouët has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Maéva Langouët's work include Genetic Syndromes and Imprinting (3 papers), Prenatal Screening and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Maéva Langouët is often cited by papers focused on Genetic Syndromes and Imprinting (3 papers), Prenatal Screening and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Maéva Langouët collaborates with scholars based in United States, France and Switzerland. Maéva Langouët's co-authors include Laurence Colleaux, Patrick Nitschké, Arnold Münnich, Jack Kronengold, Nathalie Boddaert, Maile R. Brown, Olivier Dulac, Avinash Abhyankar, Jean‐Laurent Casanova and Leonard K. Kaczmarek and has published in prestigious journals such as Nature Genetics, Human Molecular Genetics and Science Advances.

In The Last Decade

Maéva Langouët

9 papers receiving 454 citations

Author Peers

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

Author						Papers	Cites
Maéva Langouët	251	224	163	114	48	9	459
Amanda Lindy	223 0.9×	322 1.4×	143 0.9×	63 0.6×	31 0.6×	13	509
Michael G. Ricos	346 1.4×	145 0.6×	107 0.7×	119 1.0×	15 0.3×	12	529
Yong‐Hui Jiang	155 0.6×	192 0.9×	59 0.4×	81 0.7×	45 0.9×	12	441
Zhi-Jian Lin	196 0.8×	234 1.0×	186 1.1×	125 1.1×	21 0.4×	5	450
Tara Newcomb	260 1.0×	114 0.5×	36 0.2×	117 1.0×	21 0.4×	12	445
Matthieu Raveau	228 0.9×	225 1.0×	68 0.4×	92 0.8×	28 0.6×	13	522
Sanne M. C. Savelberg	244 1.0×	254 1.1×	38 0.2×	40 0.4×	18 0.4×	11	438
Talia A. Atkin	346 1.4×	60 0.3×	46 0.3×	164 1.4×	22 0.5×	8	477
Han Zhou	256 1.0×	139 0.6×	134 0.8×	100 0.9×	20 0.4×	10	424
Liwen Wu	178 0.7×	225 1.0×	94 0.6×	77 0.7×	10 0.2×	15	417

Countries citing papers authored by Maéva Langouët

Since Specialization

Citations

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

Fields of papers citing papers by Maéva Langouët

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maéva Langouët

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