Brendan Evano

766 total citations
11 papers, 498 citations indexed

About

Brendan Evano is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Brendan Evano has authored 11 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Genetics. Recurrent topics in Brendan Evano's work include Muscle Physiology and Disorders (9 papers), Telomeres, Telomerase, and Senescence (4 papers) and Mesenchymal stem cell research (3 papers). Brendan Evano is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Telomeres, Telomerase, and Senescence (4 papers) and Mesenchymal stem cell research (3 papers). Brendan Evano collaborates with scholars based in France, United Kingdom and United States. Brendan Evano's co-authors include Shahragim Tajbakhsh, Thomas M. Stubbs, Wolf Reik, Pierre‐Henri Commère, Irene Hernando-Herraez, Stephen J. Clark, Simon Andrews, Marc Jan Bonder, David Castel and Geneviève Almouzni and has published in prestigious journals such as Nature Communications, The EMBO Journal and Development.

In The Last Decade

Brendan Evano

11 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brendan Evano France	8	431	117	87	69	66	11	498
Léo Machado France	7	513 1.2×	146 1.2×	43 0.5×	127 1.8×	88 1.3×	10	600
Adam B. Cadwallader United States	12	490 1.1×	102 0.9×	95 1.1×	95 1.4×	62 0.9×	12	603
Matthieu Dos Santos France	10	359 0.8×	83 0.7×	38 0.4×	44 0.6×	67 1.0×	17	417
Nathan C. Jones United States	6	491 1.1×	132 1.1×	53 0.6×	108 1.6×	70 1.1×	9	549
James S. Novak United States	14	599 1.4×	154 1.3×	69 0.8×	74 1.1×	92 1.4×	21	678
Siham Yennek Denmark	10	286 0.7×	98 0.8×	50 0.6×	104 1.5×	26 0.4×	12	431
Elija Schirwis France	5	466 1.1×	135 1.2×	64 0.7×	61 0.9×	80 1.2×	5	526
Arif Aziz Canada	11	566 1.3×	70 0.6×	108 1.2×	51 0.7×	50 0.8×	12	657
S. Di Donna France	7	414 1.0×	112 1.0×	60 0.7×	82 1.2×	85 1.3×	7	471
Rafidah Mutalif Singapore	5	629 1.5×	95 0.8×	32 0.4×	48 0.7×	39 0.6×	5	730

Countries citing papers authored by Brendan Evano

Since Specialization

Citations

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

Fields of papers citing papers by Brendan Evano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendan Evano

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

All Works

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11 of 11 papers shown

Girolamo, Daniela Di, Brendan Evano, Vincent Laville, et al.. (2024). Extraocular muscle stem cells exhibit distinct cellular properties associated with non-muscle molecular signatures. Development. 151(4). 2 indexed citations

Evano, Brendan, et al.. (2023). Temporal static and dynamic imaging of skeletal muscle in vivo. Experimental Cell Research. 424(1). 113484–113484. 1 indexed citations

Evano, Brendan, Diljeet Gill, Irene Hernando-Herraez, et al.. (2020). Transcriptome and epigenome diversity and plasticity of muscle stem cells following transplantation. PLoS Genetics. 16(10). e1009022–e1009022. 25 indexed citations

Evano, Brendan, et al.. (2020). Dynamics of Asymmetric and Symmetric Divisions of Muscle Stem Cells In Vivo and on Artificial Niches. Cell Reports. 30(10). 3195–3206.e7. 51 indexed citations

Hernando-Herraez, Irene, Brendan Evano, Thomas M. Stubbs, et al.. (2019). Ageing affects DNA methylation drift and transcriptional cell-to-cell variability in mouse muscle stem cells. Nature Communications. 10(1). 4361–4361. 155 indexed citations

Evano, Brendan & Shahragim Tajbakhsh. (2019). A destabilised metabolic niche provokes loss of a subpopulation of aged muscle stem cells. The EMBO Journal. 38(24). e103924–e103924. 2 indexed citations

Evano, Brendan & Shahragim Tajbakhsh. (2018). Skeletal muscle stem cells in comfort and stress. npj Regenerative Medicine. 3(1). 24–24. 78 indexed citations

Baghdadi, Meryem B., Kartik Soni, Brendan Evano, et al.. (2018). Notch-Induced miR-708 Antagonizes Satellite Cell Migration and Maintains Quiescence. Cell stem cell. 23(6). 859–868.e5. 82 indexed citations

Notarnicola, Cécile, Brendan Evano, Marine Blaquière, et al.. (2016). Retinoic acid maintains human skeletal muscle progenitor cells in an immature state. Cellular and Molecular Life Sciences. 74(10). 1923–1936. 34 indexed citations

10.

Adhami, Hala Al, Brendan Evano, Anne Le Digarcher, et al.. (2015). A systems-level approach to parental genomic imprinting: the imprinted gene network includes extracellular matrix genes and regulates cell cycle exit and differentiation. Genome Research. 25(3). 353–367. 59 indexed citations

11.

Evano, Brendan & Shahragim Tajbakhsh. (2013). Sorting DNA with asymmetry: a new player in gene regulation?. Chromosome Research. 21(3). 225–242. 9 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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