Michele Pelosi

866 total citations
16 papers, 717 citations indexed

About

Michele Pelosi is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Michele Pelosi has authored 16 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Michele Pelosi's work include Muscle Physiology and Disorders (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and RNA Research and Splicing (2 papers). Michele Pelosi is often cited by papers focused on Muscle Physiology and Disorders (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and RNA Research and Splicing (2 papers). Michele Pelosi collaborates with scholars based in Italy, France and United States. Michele Pelosi's co-authors include Vincenzo Di Bartolo, Evelyne Dufour, Oreste Acuto, Dominique Mège, Antonio Musarò, Alfredo Margreth, Roberta Sacchetto, Jean‐Marc Pascussi, Laura Barberi and Arnaud Blondel and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and The FASEB Journal.

In The Last Decade

Michele Pelosi

16 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele Pelosi Italy	12	325	312	135	89	73	16	717
Hisayuki Yao Japan	15	377 1.2×	246 0.8×	175 1.3×	210 2.4×	81 1.1×	34	896
Marius Maxwell United States	12	474 1.5×	119 0.4×	209 1.5×	201 2.3×	143 2.0×	19	1.2k
Charlotte Lahoute France	7	385 1.2×	241 0.8×	66 0.5×	156 1.8×	33 0.5×	9	749
Michael Loubtchenkov Finland	7	558 1.7×	172 0.6×	85 0.6×	102 1.1×	60 0.8×	9	850
Constanze Schwarz Germany	8	223 0.7×	213 0.7×	45 0.3×	91 1.0×	52 0.7×	14	512
Elena Tchougounova Sweden	16	307 0.9×	611 2.0×	269 2.0×	117 1.3×	188 2.6×	18	1.0k
Ruban Mangadu United States	7	354 1.1×	128 0.4×	65 0.5×	247 2.8×	67 0.9×	15	579
Mayumi Yagi United States	18	491 1.5×	159 0.5×	191 1.4×	58 0.7×	53 0.7×	32	1.0k
Gudmundur L. Norddahl Sweden	15	707 2.2×	349 1.1×	125 0.9×	85 1.0×	113 1.5×	19	1.3k
Serena De Vita United States	13	283 0.9×	114 0.4×	83 0.6×	118 1.3×	34 0.5×	29	621

Countries citing papers authored by Michele Pelosi

Since Specialization

Citations

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

Fields of papers citing papers by Michele Pelosi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Pelosi

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

All Works

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16 of 16 papers shown

Yang, David Dawei, Florence Lacaille, Michele Pelosi, et al.. (2022). What are the clues for an inherited metabolic disorder in Reye syndrome? A single Centre study of 58 children. Molecular Genetics and Metabolism. 135(4). 320–326. 3 indexed citations

Pelosi, Michele, Eric Testet, Soazig Le Lay, et al.. (2017). Normal human adipose tissue functions and differentiation in patients with biallelic LPIN1 inactivating mutations. Journal of Lipid Research. 58(12). 2348–2364. 14 indexed citations

Pelosi, Michele, Marco Alfò, Francesca Martella, Elisa Pappalardo, & Antonio Musarò. (2015). Finite mixture clustering of human tissues with different levels of IGF-1 splice variants mRNA transcripts. BMC Bioinformatics. 16(1). 289–289. 9 indexed citations

Mamoune, Asmaa, Michel Bahuau, Yamina Hamel, et al.. (2014). A Thermolabile Aldolase A Mutant Causes Fever-Induced Recurrent Rhabdomyolysis without Hemolytic Anemia. PLoS Genetics. 10(11). e1004711–e1004711. 20 indexed citations

Pelosi, Michele, et al.. (2014). IL-6 Impairs Myogenic Differentiation by Downmodulation of p90RSK/eEF2 and mTOR/p70S6K Axes, without Affecting AKT Activity. BioMed Research International. 2014. 1–12. 56 indexed citations

Pelosi, Michele, et al.. (2013). Parathyroid hormone-related protein is induced by hypoxia and promotes expression of the differentiated phenotype of human articular chondrocytes. Clinical Science. 125(10). 461–470. 15 indexed citations

Yamamoto, Kazuhiro, Linda Troeberg, Simone Dario Scilabra, et al.. (2012). LRP‐1‐mediated endocytosis regulates extracellular activity of ADAMTS‐5 in articular cartilage. The FASEB Journal. 27(2). 511–521. 84 indexed citations

Pelosi, Michele, Francesco Marampon, Bianca M. Zani, et al.. (2007). ROCK2 and Its Alternatively Spliced Isoform ROCK2m Positively Control the Maturation of the Myogenic Program. Molecular and Cellular Biology. 27(17). 6163–6176. 48 indexed citations

Longo, Pablo G., Luca Laurenti, Stefania Gobessi, et al.. (2006). The Akt signaling pathway determines the different proliferative capacity of chronic lymphocytic leukemia B-cells from patients with progressive and stable disease. Leukemia. 21(1). 110–120. 116 indexed citations

10.

Romagnoli, Paola, et al.. (2001). A potential role for protein tyrosine kinase p56lck in rheumatoid arthritis synovial fluid T lymphocyte hyporesponsiveness. International Immunology. 13(3). 305–312. 40 indexed citations

11.

Pelosi, Michele, et al.. (2000). Localization, purification, and characterization of the rabbit sarcoplasmic reticulum associated calmodulin-dependent protein kinase.. PubMed. 65(2). 259–68. 6 indexed citations

12.

Pelosi, Michele, Vincenzo Di Bartolo, Dominique Mège, et al.. (1999). Tyrosine 319 in the Interdomain B of ZAP-70 Is a Binding Site for the Src Homology 2 Domain of Lck. Journal of Biological Chemistry. 274(20). 14229–14237. 112 indexed citations

13.

Bartolo, Vincenzo Di, Dominique Mège, Michele Pelosi, et al.. (1999). Tyrosine 319, a Newly Identified Phosphorylation Site of ZAP-70, Plays a Critical Role in T Cell Antigen Receptor Signaling. Journal of Biological Chemistry. 274(10). 6285–6294. 119 indexed citations

14.

Damiani, Ernesto, C. Angelini, Michele Pelosi, et al.. (1996). Skeletal muscle sarcoplasmic reticulum phenotype in myotonic dystrophy. Neuromuscular Disorders. 6(1). 33–47. 20 indexed citations

15.

Sacchetto, Roberta, Alfredo Margreth, Michele Pelosi, & Ernesto Carafoli. (1996). Colocalization of the Dihydropyridine Receptor, the Plasma‐Membrane Calcium ATPase Isoform 1 and the Sodium/Calcium Exchanger to the Junctional‐Membrane Domain of Transverse Tubules of Rabbit Skeletal Muscle. European Journal of Biochemistry. 237(2). 483–488. 46 indexed citations

16.

Apuzzio, Joseph J., et al.. (1985). Comparative clinical evaluation of ceftizoxime with clindamycin and gentamicin and cefoxitin in the treatment of postcesarean endomyometritis.. PubMed. 161(6). 518–22. 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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