Maxime Hebrard

807 total citations
10 papers, 225 citations indexed

About

Maxime Hebrard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Maxime Hebrard has authored 10 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Ecology. Recurrent topics in Maxime Hebrard's work include Retinal Development and Disorders (3 papers), Genomics and Phylogenetic Studies (3 papers) and Photoreceptor and optogenetics research (2 papers). Maxime Hebrard is often cited by papers focused on Retinal Development and Disorders (3 papers), Genomics and Phylogenetic Studies (3 papers) and Photoreceptor and optogenetics research (2 papers). Maxime Hebrard collaborates with scholars based in France, Japan and United States. Maxime Hebrard's co-authors include Gaël Manès, Béatrice Bocquet, Christian P. Hamel, Isabelle Meunier, Audrey Sénéćhal, Nour‐Al‐Dain Marzouka, Todd D. Taylor, Éric Rivals, François Rivier and Marc Krasovec and has published in prestigious journals such as Bioinformatics, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Maxime Hebrard

10 papers receiving 224 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maxime Hebrard France	8	172	44	43	27	19	10	225
Stephanie Nelson United States	8	289 1.7×	5 0.1×	22 0.5×	45 1.7×	59 3.1×	8	374
Carlos Herrera-Úbeda Spain	8	83 0.5×	10 0.2×	6 0.1×	8 0.3×	8 0.4×	12	122
Snædís Kristmundsdóttir Iceland	7	212 1.2×	7 0.2×	9 0.2×	166 6.1×	12 0.6×	7	321
Gunjan Baid United States	2	165 1.0×	3 0.1×	28 0.7×	63 2.3×	2 0.1×	3	223
Vincent Hearing United States	4	136 0.8×	4 0.1×	23 0.5×	18 0.7×	17 0.9×	8	377
Wen-Yu Chung United States	6	172 1.0×	3 0.1×	25 0.6×	40 1.5×	7 0.4×	7	237
Atul Kakrana United States	15	391 2.3×	30 0.7×	5 0.1×	37 1.4×	4 0.2×	18	585
Francisco J. Pardo-Palacios Spain	4	275 1.6×	3 0.1×	18 0.4×	30 1.1×	7 0.4×	5	327
Longhai Luo China	7	139 0.8×	4 0.1×	19 0.4×	67 2.5×	4 0.2×	9	237

Countries citing papers authored by Maxime Hebrard

Since Specialization

Citations

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

Fields of papers citing papers by Maxime Hebrard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Hebrard

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Hebrard. A scholar is included among the top collaborators of Maxime Hebrard 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 Maxime Hebrard. Maxime Hebrard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Pal, Ananya, Vinay Kumar Rao, Luca Pignata, et al.. (2020). EHMT2 epigenetically suppresses Wnt signaling and is a potential target in embryonal rhabdomyosarcoma. eLife. 9. 20 indexed citations

Dwivedi, Ankit, Christelle Reynès, Daniel B. Roche, et al.. (2017). Functional analysis of Plasmodium falciparum subpopulations associated with artemisinin resistance in Cambodia. Malaria Journal. 16(1). 493–493. 11 indexed citations

Taylor, Todd D., et al.. (2017). Transcriptomic study of Salmonella enterica subspecies enterica serovar Typhi biofilm. BMC Genomics. 18(1). 836–836. 17 indexed citations

Blanc‐Mathieu, Romain, Marc Krasovec, Maxime Hebrard, et al.. (2017). Population genomics of picophytoplankton unveils novel chromosome hypervariability. Science Advances. 3(7). e1700239–e1700239. 60 indexed citations

Hebrard, Maxime & Todd D. Taylor. (2016). MetaTreeMap: An Alternative Visualization Method for Displaying Metagenomic Phylogenic Trees. PLoS ONE. 11(6). e0158261–e0158261. 4 indexed citations

Angebault, Claire, Majida Charif, Bénédicte Mousson de Camaret, et al.. (2015). Mutation in NDUFA13/GRIM19 leads to early onset hypotonia, dyskinesia and sensorial deficiencies, and mitochondrial complex I instability. Human Molecular Genetics. 24(14). 3948–3955. 36 indexed citations

Bocquet, Béatrice, Nour‐Al‐Dain Marzouka, Maxime Hebrard, et al.. (2013). Homozygosity mapping in autosomal recessive retinitis pigmentosa families detects novel mutations.. PubMed Central. 41 indexed citations

Hebrard, Maxime, et al.. (2011). Combining gene mapping and phenotype assessment for fast mutation finding in non-consanguineous autosomal recessive retinitis pigmentosa families. European Journal of Human Genetics. 19(12). 1256–1263. 15 indexed citations

Manès, Gaël, Maxime Hebrard, Béatrice Bocquet, et al.. (2011). A novel locus (CORD12) for autosomal dominant cone-rod dystrophy on chromosome 2q24.2-2q33.1. BMC Medical Genetics. 12(1). 54–54. 7 indexed citations

10.

Chevenet, François, Olivier Croce, Maxime Hebrard, Richard Christen, & Vincent Berry. (2010). ScripTree: scripting phylogenetic graphics. Bioinformatics. 26(8). 1125–1126. 14 indexed citations

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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