Michèle Aguera

12 total papers · 926 total citations
11 papers, 762 citations indexed

About

Michèle Aguera is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Michèle Aguera has authored 11 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Developmental Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Michèle Aguera's work include Neurogenesis and neuroplasticity mechanisms (5 papers), Axon Guidance and Neuronal Signaling (5 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Michèle Aguera is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (5 papers), Axon Guidance and Neuronal Signaling (5 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Michèle Aguera collaborates with scholars based in France, United States and Belgium. Michèle Aguera's co-authors include Jérôme Honnorat, Véronique Rogemond, Nicole Thomasset, Sophie Reibel, Marie‐Françoise Belin, Massimo Pandolfo, Marie-Aline Laute, Mario‐Ubaldo Manto, Damien Ricard and Pappachan E. Kolattukudy and has published in prestigious journals such as Journal of Neuroscience, Annals of Neurology and European Journal of Neuroscience.

In The Last Decade

Michèle Aguera

11 papers receiving 750 citations

Author Peers

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

Author						Papers	Cites
Michèle Aguera	497	246	245	185	151	11	762
Vered Bar	300 0.6×	217 0.9×	340 1.4×	143 0.8×	120 0.8×	9	726
Ido Horresh	479 1.0×	375 1.5×	138 0.6×	197 1.1×	215 1.4×	9	797
Raquel Martín‐Ibáñez	392 0.8×	483 2.0×	125 0.5×	105 0.6×	107 0.7×	18	789
M. Manier	431 0.9×	296 1.2×	109 0.4×	160 0.9×	94 0.6×	19	717
Carlotta Grumelli	259 0.5×	221 0.9×	219 0.9×	163 0.9×	78 0.5×	9	620
Eljo Y. van Battum	290 0.6×	383 1.6×	104 0.4×	219 1.2×	130 0.9×	12	764
Jesús F. Torres-Peraza	541 1.1×	428 1.7×	189 0.8×	61 0.3×	83 0.5×	14	735
Chunjie Zhao	367 0.7×	349 1.4×	132 0.5×	255 1.4×	80 0.5×	18	775
Claire Meissirel	339 0.7×	327 1.3×	214 0.9×	226 1.2×	90 0.6×	16	831
Xiling Yin	258 0.5×	325 1.3×	176 0.7×	185 1.0×	58 0.4×	15	697

Countries citing papers authored by Michèle Aguera

Since Specialization

Citations

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

Fields of papers citing papers by Michèle Aguera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michèle Aguera

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