Massimo Stendardo

597 total citations
9 papers, 494 citations indexed

About

Massimo Stendardo is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Massimo Stendardo has authored 9 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Aging. Recurrent topics in Massimo Stendardo's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Mitochondrial Function and Pathology (2 papers) and Stress Responses and Cortisol (1 paper). Massimo Stendardo is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), Mitochondrial Function and Pathology (2 papers) and Stress Responses and Cortisol (1 paper). Massimo Stendardo collaborates with scholars based in Italy, United States and Russia. Massimo Stendardo's co-authors include Marco Giorgio, Pier Giuseppe Pelicci, Mirella Trinei, Ina Berniakovich, Enrica Migliaccio, Saverio Minucci, Paolo Bernardi, Lucilla Titta, Chiara Tonelli and Paolo Rapisarda and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Oncogene.

In The Last Decade

Massimo Stendardo

9 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Stendardo Italy	8	239	157	79	60	60	9	494
Guanghua Liu China	7	169 0.7×	131 0.8×	67 0.8×	67 1.1×	54 0.9×	15	493
Nadja Schulz Germany	12	190 0.8×	168 1.1×	24 0.3×	47 0.8×	99 1.6×	13	522
Si Young Cho South Korea	14	335 1.4×	165 1.1×	56 0.7×	118 2.0×	70 1.2×	22	645
Akshaya Chandrasekaran United States	7	139 0.6×	88 0.6×	45 0.6×	33 0.6×	18 0.3×	9	376
Patrícia Cristine Borck Brazil	16	231 1.0×	329 2.1×	34 0.4×	89 1.5×	124 2.1×	24	798
Jeffery S. Tessem United States	17	346 1.4×	174 1.1×	68 0.9×	53 0.9×	154 2.6×	41	817
C. P. Reddy Avula United States	12	118 0.5×	124 0.8×	39 0.5×	41 0.7×	13 0.2×	14	473
Akiko Takikawa Japan	10	238 1.0×	308 2.0×	133 1.7×	204 3.4×	42 0.7×	15	778
Brian M. Wiczer United States	12	553 2.3×	298 1.9×	22 0.3×	149 2.5×	42 0.7×	15	850

Countries citing papers authored by Massimo Stendardo

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Stendardo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Stendardo

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Stendardo, Massimo, Cristina Renzi, Rani Pallavi, et al.. (2022). The early‐life stress induced by oxytocin inhibition in p53 knockout mouse dams increases adulthood tumorigenesis in first and second generations. Cancer Reports. 6(1). e1625–e1625. 1 indexed citations

Stendardo, Massimo, et al.. (2022). Hydroxycitric Acid Inhibits Chronic Myelogenous Leukemia Growth through Activation of AMPK and mTOR Pathway. Nutrients. 14(13). 2669–2669. 11 indexed citations

Bigi, Alessandra, Elena Beltrami, Mirella Trinei, et al.. (2016). Cyclophilin D counteracts P53-mediated growth arrest and promotes Ras tumorigenesis. Oncogene. 35(39). 5132–5143. 28 indexed citations

Giorgio, Marco, Massimo Stendardo, Enrica Migliaccio, & Pier Giuseppe Pelicci. (2016). P66SHC deletion improves fertility and progeric phenotype of late-generation TERC-deficient mice but not their short lifespan. Aging Cell. 15(3). 446–454. 10 indexed citations

Giorgio, Marco, Alessandra Berry, Ina Berniakovich, et al.. (2011). The p66^Shc knockout mice are short lived under natural condition. Aging Cell. 11(1). 162–168. 64 indexed citations

Fadini, Gian Paolo, Mattia Albiero, Lisa Menegazzo, et al.. (2010). The Redox Enzyme p66Shc Contributes to Diabetes and Ischemia-Induced Delay in Cutaneous Wound Healing. Diabetes. 59(9). 2306–2314. 77 indexed citations

Titta, Lucilla, Mirella Trinei, Massimo Stendardo, et al.. (2009). Blood orange juice inhibits fat accumulation in mice. International Journal of Obesity. 34(3). 578–588. 118 indexed citations

Berniakovich, Ina, Mirella Trinei, Massimo Stendardo, et al.. (2008). p66Shc-generated Oxidative Signal Promotes Fat Accumulation. Journal of Biological Chemistry. 283(49). 34283–34293. 141 indexed citations

Martín-Padura, Inés, Filomena de Nigris, Enrica Migliaccio, et al.. (2008). p66^ShcDeletion Confers Vascular Protection in Advanced Atherosclerosis in Hypercholesterolemic Apolipoprotein E Knockout Mice. Endothelium. 15(5-6). 276–287. 44 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.

Explore authors with similar magnitude of impact