Viviana Pisa

473 total citations
10 papers, 401 citations indexed

About

Viviana Pisa is a scholar working on Molecular Biology, Rehabilitation and Physiology. According to data from OpenAlex, Viviana Pisa has authored 10 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Rehabilitation and 4 papers in Physiology. Recurrent topics in Viviana Pisa's work include Muscle Physiology and Disorders (5 papers), Exercise and Physiological Responses (4 papers) and Adipose Tissue and Metabolism (4 papers). Viviana Pisa is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Exercise and Physiological Responses (4 papers) and Adipose Tissue and Metabolism (4 papers). Viviana Pisa collaborates with scholars based in Italy. Viviana Pisa's co-authors include Clara Sciorati, Emilio Clementi, Silvia Brunelli, Laura Pozzi, Nicoletta Cordani, Roberta Buono, Emanuele Azzoni, Daniela Alfano, M Caputi and Immacolata Vocca and has published in prestigious journals such as Gene, Stem Cells and Thrombosis and Haemostasis.

In The Last Decade

Viviana Pisa

10 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viviana Pisa Italy	9	275	102	83	52	43	10	401
Stephanie Adams United States	13	227 0.8×	57 0.6×	52 0.6×	25 0.5×	27 0.6×	21	421
Lin Qiu China	12	317 1.2×	78 0.8×	78 0.9×	18 0.3×	68 1.6×	27	542
Annarita Scaramozza Italy	7	324 1.2×	201 2.0×	77 0.9×	54 1.0×	50 1.2×	9	534
Xinrong Fu Hong Kong	11	435 1.6×	72 0.7×	48 0.6×	23 0.4×	32 0.7×	18	540
Federica Ferri France	11	295 1.1×	31 0.3×	66 0.8×	40 0.8×	13 0.3×	14	572
Kristine O'Brien United States	9	582 2.1×	100 1.0×	33 0.4×	32 0.6×	35 0.8×	9	638
Nanyan Wu United States	8	237 0.9×	51 0.5×	57 0.7×	12 0.2×	34 0.8×	9	412
Arif Aziz Canada	11	566 2.1×	70 0.7×	61 0.7×	19 0.4×	51 1.2×	12	657
Mathieu Fortier France	11	390 1.4×	106 1.0×	26 0.3×	16 0.3×	44 1.0×	19	560
Jessica Neil United States	11	270 1.0×	67 0.7×	37 0.4×	13 0.3×	27 0.6×	13	506

Countries citing papers authored by Viviana Pisa

Since Specialization

Citations

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

Fields of papers citing papers by Viviana Pisa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viviana Pisa

This figure shows the co-authorship network connecting the top 25 collaborators of Viviana Pisa. A scholar is included among the top collaborators of Viviana Pisa 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 Viviana Pisa. Viviana Pisa 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

Pisa, Viviana, et al.. (2017). Osteopathic Manipulative Treatment of Primary Dysmenorrhea and Related Factors: A Randomized Controlled Trial. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations

Miglietta, Daniela, Clara De Palma, Clara Sciorati, et al.. (2015). Naproxcinod shows significant advantages over naproxen in the mdx model of Duchenne Muscular Dystrophy. Orphanet Journal of Rare Diseases. 10(1). 101–101. 12 indexed citations

Cordani, Nicoletta, Viviana Pisa, Laura Pozzi, & Clara Sciorati. (2014). Isolation of FAP Cells from Mouse Dystrophic Skeletal Muscle Using Fluorescence Activated Cell Sorting. BIO-PROTOCOL. 4(22). 1 indexed citations

Cordani, Nicoletta, Viviana Pisa, Laura Pozzi, Clara Sciorati, & Emilio Clementi. (2013). Nitric Oxide Controls Fat Deposition in Dystrophic Skeletal Muscle by Regulating Fibro-Adipogenic Precursor Differentiation. Stem Cells. 32(4). 874–885. 78 indexed citations

Sciorati, Clara, Daniela Miglietta, Roberta Buono, et al.. (2011). A dual acting compound releasing nitric oxide (NO) and ibuprofen, NCX 320, shows significant therapeutic effects in a mouse model of muscular dystrophy. Pharmacological Research. 64(3). 210–217. 36 indexed citations

Buono, Roberta, Chiara Vantaggiato, Viviana Pisa, et al.. (2011). Nitric Oxide Sustains Long-Term Skeletal Muscle Regeneration by Regulating Fate of Satellite Cells Via Signaling Pathways Requiring Vangl2 and Cyclic GMP. Stem Cells. 30(2). 197–209. 89 indexed citations

Ottone, Cristina, Alessia Galasso, Marica Gemei, et al.. (2010). Diminution of eIF4E activity suppresses parkin mutant phenotypes. Gene. 470(1-2). 12–19. 10 indexed citations

Piccioni, Federica, Cristina Ottone, Paola Brescia, et al.. (2008). The translational repressor Cup associates with the adaptor protein Miranda and the mRNA carrier Staufen at multiple time-points during Drosophila oogenesis. Gene. 428(1-2). 47–52. 10 indexed citations

Pisa, Viviana, Serena Gargiulo, Cristina Ottone, et al.. (2008). The molecular chaperone Hsp90 is a component of the cap-binding complex and interacts with the translational repressor Cup during Drosophila oogenesis. Gene. 432(1-2). 67–74. 35 indexed citations

10.

Alfano, Daniela, Paola Franco, Immacolata Vocca, et al.. (2005). The urokinase plasminogen activator and its receptor. Thrombosis and Haemostasis. 93(2). 205–211. 122 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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