Anthony Scimè

4.1k total citations · 1 hit paper
28 papers, 3.3k citations indexed

About

Anthony Scimè is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Anthony Scimè has authored 28 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Oncology. Recurrent topics in Anthony Scimè's work include Muscle Physiology and Disorders (13 papers), Adipose Tissue and Metabolism (8 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Anthony Scimè is often cited by papers focused on Muscle Physiology and Disorders (13 papers), Adipose Tissue and Metabolism (8 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Anthony Scimè collaborates with scholars based in Canada, United States and Netherlands. Anthony Scimè's co-authors include Michael A. Rudnicki, Patrick Seale, Shihuan Kuang, David R. Beier, Hediye Erdjument‐Bromage, Bruce M. Spiegelman, Srikripa Devarakonda, Sherry Chin, Paul Tempst and Wenli Yang and has published in prestigious journals such as Nature, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Anthony Scimè

28 papers receiving 3.3k citations

Hit Papers

PRDM16 controls a brown fat/skeletal muscle switch 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony Scimè Canada 18 1.9k 1.7k 973 393 371 28 3.3k
Jeff Ishibashi United States 20 2.2k 1.2× 1.4k 0.8× 1.3k 1.3× 489 1.2× 339 0.9× 24 3.4k
Didier F. Pisani France 34 1.2k 0.6× 1.6k 0.9× 584 0.6× 222 0.6× 391 1.1× 79 3.3k
Pengpeng Bi United States 21 915 0.5× 1.6k 0.9× 437 0.4× 183 0.5× 293 0.8× 27 2.3k
Kenneth Longo United States 19 1.3k 0.7× 3.1k 1.8× 745 0.8× 200 0.5× 552 1.5× 31 4.7k
Massimiliano Cerletti United States 16 1.1k 0.6× 1.9k 1.1× 380 0.4× 194 0.5× 521 1.4× 20 3.4k
Giulia Milan Italy 11 1.2k 0.7× 2.6k 1.5× 1.1k 1.2× 207 0.5× 143 0.4× 14 3.4k
Erqian Na United States 15 1.3k 0.7× 3.1k 1.9× 342 0.4× 492 1.3× 389 1.0× 20 4.1k
Susanne Baumhueter United States 9 1.0k 0.5× 3.1k 1.8× 357 0.4× 302 0.8× 344 0.9× 11 4.0k
Tata Nageswara Rao United States 19 644 0.3× 1.8k 1.1× 524 0.5× 306 0.8× 391 1.1× 32 3.6k
Anne Picard Italy 15 1.1k 0.6× 2.9k 1.7× 343 0.4× 257 0.7× 133 0.4× 32 3.6k

Countries citing papers authored by Anthony Scimè

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Scimè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Scimè

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

All Works

20 of 20 papers shown
1.
Bhattacharya, Debasmita, et al.. (2021). p107 mediated mitochondrial function controls muscle stem cell proliferative fates. Nature Communications. 12(1). 5977–5977. 12 indexed citations
2.
Bhattacharya, Debasmita & Anthony Scimè. (2020). Mitochondrial Function in Muscle Stem Cell Fates. Frontiers in Cell and Developmental Biology. 8. 480–480. 59 indexed citations
3.
Cantini, Giulia, A. Di Franco, Massimo Mannelli, et al.. (2020). The Role of Metabolic Changes in Shaping the Fate of Cancer-Associated Adipose Stem Cells. Frontiers in Cell and Developmental Biology. 8. 332–332. 10 indexed citations
4.
Bhattacharya, Debasmita & Anthony Scimè. (2019). Metabolic Regulation of Epithelial to Mesenchymal Transition: Implications for Endocrine Cancer. Frontiers in Endocrinology. 10. 773–773. 34 indexed citations
5.
Porras, Deanna P., et al.. (2017). p107 Determines a Metabolic Checkpoint Required for Adipocyte Lineage Fates. Stem Cells. 35(5). 1378–1391. 7 indexed citations
6.
Scimè, Anthony. (2012). The heat is on: a new avenue to study brown fat formation in humans. Frontiers in Endocrinology. 2. 118–118. 1 indexed citations
7.
Scimè, Anthony, Vahab D. Soleimani, C. Florian Bentzinger, et al.. (2010). Oxidative status of muscle is determined by p107 regulation of PGC-1α. The Journal of Cell Biology. 190(4). 651–662. 16 indexed citations
8.
Grand, Fabien Le, et al.. (2009). Wnt7a Activates the Planar Cell Polarity Pathway to Drive the Symmetric Expansion of Satellite Stem Cells. Cell stem cell. 4(6). 535–547. 391 indexed citations
9.
Scimè, Anthony. (2009). Advances in myogenic cell transplantation and skeletal muscle tissue engineering. Frontiers in bioscience. Volume(14). 3012–3012. 21 indexed citations
10.
Scimè, Anthony, F. Trensz, Gareth Palidwor, et al.. (2009). Transcriptional profiling of skeletal muscle reveals factors that are necessary to maintain satellite cell integrity during ageing. Mechanisms of Ageing and Development. 131(1). 9–20. 31 indexed citations
11.
Scimè, Anthony & Michael A. Rudnicki. (2008). Molecular-Targeted Therapy for Duchenne Muscular Dystrophy. Molecular Diagnosis & Therapy. 12(2). 99–108. 8 indexed citations
12.
Seale, Patrick, Bryan C. Bjork, Wenli Yang, et al.. (2008). PRDM16 controls a brown fat/skeletal muscle switch. Nature. 454(7207). 961–967. 1835 indexed citations breakdown →
13.
Scimè, Anthony, et al.. (2007). Cyclin D1/cdk4 can interact with E2F4/DP1 and disrupts its DNA‐binding capacity. Journal of Cellular Physiology. 214(3). 568–581. 11 indexed citations
14.
Pelka, Peter, et al.. (2007). Adenovirus E1A proteins direct subcellular redistribution of Nek9, A NimA‐related kinase. Journal of Cellular Physiology. 212(1). 13–25. 18 indexed citations
15.
Scimè, Anthony & Michael A. Rudnicki. (2006). Anabolic potential and regulation of the skeletal muscle satellite cell populations. Current Opinion in Clinical Nutrition & Metabolic Care. 9(3). 214–219. 17 indexed citations
16.
Rodier, Geneviève, Constantin Makris, Philippe Coulombe, et al.. (2005). p107 inhibits G1 to S phase progression by down-regulating expression of the F-box protein Skp2. The Journal of Cell Biology. 168(1). 55–66. 36 indexed citations
17.
Balciunaite, Egle, Alexander Spektor, Nathan H. Lents, et al.. (2005). Pocket Protein Complexes Are Recruited to Distinct Targets in Quiescent and Proliferating Cells. Molecular and Cellular Biology. 25(18). 8166–8178. 99 indexed citations
18.
Scimè, Anthony, Guillaume Grenier, Michael S. Huh, et al.. (2005). Rb and p107 regulate preadipocyte differentiation into white versus brown fat through repression of PGC-1α. Cell Metabolism. 2(5). 283–295. 177 indexed citations
19.
Zhang, Yihong, John A. Lunde, Anthony Scimè, et al.. (2004). Ste20‐like kinase SLK displays myofiber type specificity and is involved in C2C12 myoblast differentiation. Muscle & Nerve. 29(4). 553–564. 20 indexed citations
20.
Seale, Patrick, Jeff Ishibashi, Anthony Scimè, & Michael A. Rudnicki. (2004). Pax7 Is Necessary and Sufficient for the Myogenic Specification of CD45+:Sca1+ Stem Cells from Injured Muscle. PLoS Biology. 2(5). e130–e130. 140 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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