Hervé Faralli

624 total citations
8 papers, 455 citations indexed

About

Hervé Faralli is a scholar working on Molecular Biology, Social Psychology and Endocrine and Autonomic Systems. According to data from OpenAlex, Hervé Faralli has authored 8 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Social Psychology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Hervé Faralli's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Muscle Physiology and Disorders (3 papers). Hervé Faralli is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Muscle Physiology and Disorders (3 papers). Hervé Faralli collaborates with scholars based in Canada, France and South Africa. Hervé Faralli's co-authors include F. Jeffrey Dilworth, Marjorie Brand, Soji Sebastian, Alphonse Chu, Carmen G. Palii, Kulwant Singh, Qicai Liu, Carol Perez‐Iratxeta, Erinija Pranckevičienė and Zizhen Yao and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Hervé Faralli

8 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hervé Faralli Canada	8	370	69	61	48	43	8	455
Carlotta Marzocchi Italy	9	321 0.9×	150 2.2×	86 1.4×	40 0.8×	59 1.4×	26	592
Stefania Monteverde Italy	9	428 1.2×	48 0.7×	79 1.3×	41 0.9×	49 1.1×	10	489
Arif Aziz Canada	11	566 1.5×	61 0.9×	108 1.8×	70 1.5×	50 1.2×	12	657
Meryem Gonzalez-Celeiro United States	7	315 0.9×	131 1.9×	42 0.7×	43 0.9×	25 0.6×	8	642
Erik Engelen Netherlands	8	471 1.3×	38 0.6×	141 2.3×	27 0.6×	65 1.5×	8	627
Jennifer A. Schumacher United States	12	345 0.9×	37 0.5×	32 0.5×	20 0.4×	11 0.3×	17	466
Laima Valiuniene United States	6	442 1.2×	44 0.6×	27 0.4×	41 0.9×	76 1.8×	8	583
Marc Pondel United Kingdom	9	455 1.2×	26 0.4×	101 1.7×	28 0.6×	35 0.8×	16	625
Kayleigh A. Swaggart United States	11	313 0.8×	37 0.5×	56 0.9×	56 1.2×	26 0.6×	14	428
Verónica Tapia Chile	11	212 0.6×	38 0.6×	94 1.5×	17 0.4×	22 0.5×	16	524

Countries citing papers authored by Hervé Faralli

Since Specialization

Citations

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

Fields of papers citing papers by Hervé Faralli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Faralli

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

All Works

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8 of 8 papers shown

Faralli, Hervé, Chaochen Wang, Kiran Nakka, et al.. (2016). UTX demethylase activity is required for satellite cell–mediated muscle regeneration. Journal of Clinical Investigation. 126(4). 1555–1565. 63 indexed citations

Singh, Kulwant, Marco Cassano, Evarist Planet, et al.. (2015). A KAP1 phosphorylation switch controls MyoD function during skeletal muscle differentiation. Genes & Development. 29(5). 513–525. 64 indexed citations

Palii, Carmen G., Branka Vulesevic, Sylvain Fraineau, et al.. (2014). Trichostatin A Enhances Vascular Repair by Injected Human Endothelial Progenitors through Increasing the Expression of TAL1-Dependent Genes. Cell stem cell. 14(5). 644–657. 41 indexed citations

Sebastian, Soji, Hervé Faralli, Zizhen Yao, et al.. (2013). Tissue-specific splicing of a ubiquitously expressed transcription factor is essential for muscle differentiation. Genes & Development. 27(11). 1247–1259. 91 indexed citations

Liu, Qicai, Xiaohui Zha, Hervé Faralli, et al.. (2012). Comparative expression profiling identifies differential roles for Myogenin and p38α MAPK signaling in myogenesis. Journal of Molecular Cell Biology. 4(6). 386–397. 64 indexed citations

Faralli, Hervé & F. Jeffrey Dilworth. (2012). Turning on Myogenin in Muscle: A Paradigm for Understanding Mechanisms of Tissue-Specific Gene Expression. Comparative and Functional Genomics. 2012. 1–10. 65 indexed citations

Faralli, Hervé, Nathalie Coré, Qicai Liu, et al.. (2011). Teashirt-3, a Novel Regulator of Muscle Differentiation, Associates with BRG1-associated Factor 57 (BAF57) to Inhibit Myogenin Gene Expression. Journal of Biological Chemistry. 286(26). 23498–23510. 28 indexed citations

Caubit, Xavier, Muriel Thoby‐Brisson, Nicolas Voituron, et al.. (2010). Teashirt 3 Regulates Development of Neurons Involved in Both Respiratory Rhythm and Airflow Control. Journal of Neuroscience. 30(28). 9465–9476. 39 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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