Milena Vitiello

616 total citations
20 papers, 529 citations indexed

About

Milena Vitiello is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Milena Vitiello has authored 20 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Milena Vitiello's work include Immune Response and Inflammation (5 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Tea Polyphenols and Effects (2 papers). Milena Vitiello is often cited by papers focused on Immune Response and Inflammation (5 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Tea Polyphenols and Effects (2 papers). Milena Vitiello collaborates with scholars based in Italy and United Kingdom. Milena Vitiello's co-authors include Maria Luisa Balestrieri, Nunzia D’Onofrio, Alfonso Giovane, Luigi Servillo, Rosario Casale, Massimiliano Galdiero, Raffaele Marfella, Giuseppe Paolisso, Francesco Paolo Mancini and Alberto Zullo and has published in prestigious journals such as Free Radical Biology and Medicine, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Ageing Research Reviews.

In The Last Decade

Milena Vitiello

20 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milena Vitiello Italy 12 181 126 102 93 68 20 529
Zhao Gao China 12 166 0.9× 62 0.5× 49 0.5× 31 0.3× 99 1.5× 24 463
Nieves García-Quintáns Spain 12 400 2.2× 115 0.9× 124 1.2× 33 0.4× 77 1.1× 17 694
Yuanling Huang China 13 240 1.3× 64 0.5× 75 0.7× 31 0.3× 203 3.0× 24 643
Yuanli Chen China 13 239 1.3× 41 0.3× 79 0.8× 44 0.5× 169 2.5× 24 662
Maro Okamura Japan 17 450 2.5× 34 0.3× 96 0.9× 170 1.8× 313 4.6× 19 1.1k
Su Xu China 13 258 1.4× 29 0.2× 40 0.4× 29 0.3× 59 0.9× 30 521
Seon‐Young Han South Korea 15 189 1.0× 20 0.2× 74 0.7× 112 1.2× 48 0.7× 22 647
Tian Shen China 12 342 1.9× 20 0.2× 114 1.1× 138 1.5× 79 1.2× 33 610
Kathleen LaPoint United States 6 246 1.4× 26 0.2× 299 2.9× 49 0.5× 196 2.9× 7 603

Countries citing papers authored by Milena Vitiello

Since Specialization
Citations

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

Fields of papers citing papers by Milena Vitiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milena Vitiello

This figure shows the co-authorship network connecting the top 25 collaborators of Milena Vitiello. A scholar is included among the top collaborators of Milena Vitiello 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 Milena Vitiello. Milena Vitiello 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.
Vitiello, Milena, et al.. (2021). Manipulating Pericyte Function with MicroRNAs. Methods in molecular biology. 2235. 139–153. 3 indexed citations
2.
Vitiello, Milena, Dominga Iacobazzi, David Mellis, et al.. (2020). miR-96 and miR-183 differentially regulate neonatal and adult postinfarct neovascularization. JCI Insight. 5(14). 12 indexed citations
3.
Longobardi, Valentina, Angela Salzano, Giuseppe Campanile, et al.. (2016). Carnitine supplementation decreases capacitation-like changes of frozen-thawed buffalo spermatozoa. Theriogenology. 88. 236–243. 28 indexed citations
4.
Vitiello, Milena, Alberto Zullo, Luigi Servillo, et al.. (2016). Multiple pathways of SIRT6 at the crossroads in the control of longevity, cancer, and cardiovascular diseases. Ageing Research Reviews. 35. 301–311. 87 indexed citations
5.
D’Onofrio, Nunzia, Luigi Servillo, Alfonso Giovane, et al.. (2016). Ergothioneine oxidation in the protection against high-glucose induced endothelial senescence: Involvement of SIRT1 and SIRT6. Free Radical Biology and Medicine. 96. 211–222. 110 indexed citations
6.
Barbieri, Michelangela, Raffaele Marfella, Antonietta Esposito, et al.. (2016). Incretin treatment and atherosclerotic plaque stability: Role of adiponectin/APPL1 signaling pathway. Journal of Diabetes and its Complications. 31(2). 295–303. 17 indexed citations
7.
Iannuzzi, Clara, Margherita Borriello, Vincenzo Carafa, et al.. (2015). D-ribose-glycation of insulin prevents amyloid aggregation and produces cytotoxic adducts. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(1). 93–104. 39 indexed citations
8.
D’Onofrio, Nunzia, Milena Vitiello, Rosario Casale, et al.. (2015). Sirtuins in vascular diseases: Emerging roles and therapeutic potential. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(7). 1311–1322. 81 indexed citations
9.
Puente, Ángela, Attilio Parisi, Mariangela Atteno, et al.. (2012). Osteoporosis and Psoriatic Arthritis. PubMed. 89(0). 36–38. 25 indexed citations
10.
Vitiello, Milena, Massimiliano Galdiero, Emilia Galdiero, et al.. (2011). G2 as an emerging rotavirus strain in pediatric gastroenteritis in southern Italy. Infection. 39(2). 113–119. 7 indexed citations
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D’Isanto, Marina, et al.. (2002). p53 and c-myc activation by Pasteurella haemolytica leukotoxin is correlated with bovine mononuclear cells apoptosis.. PubMed. 25(2). 195–204. 2 indexed citations
14.
Galdiero, Massimiliano, et al.. (2001). Induction of tyrosine phosphorylated proteins in THP-1 cells bySalmonella typhimurium,Pasteurella haemolyticaandHaemophilus influenzaeporins. FEMS Immunology & Medical Microbiology. 31(2). 121–130. 11 indexed citations
15.
Galdiero, Emilia, Caterina Romano Carratelli, Milena Vitiello, et al.. (2000). HSP and apoptosis in leukocytes from infected or vaccinated animals by Brucella abortus.. PubMed. 23(3). 271–271. 23 indexed citations
16.
Galdiero, F, et al.. (1997). Polyclonal T cell elimination by prolonged immunostimulation in an experimental model. Clinical & Experimental Immunology. 110(2). 182–188. 3 indexed citations
17.
Galdiero, Massimiliano, et al.. (1997). Growth hormone release of interleukin-1 alpha, interferon-gamma and interleukin-4 from murine splenocytes stimulated with staphylococcal protein A, toxic shock syndrome toxin-1 and streptococcal lysin S.. PubMed. 8(1). 83–90. 3 indexed citations
18.
Sommese, Linda, et al.. (1996). Growth hormone modulates IL-  and IFN-  release by murine splenocytes activated by LPS or porins of Salmonella Typhimurium. Journal of Medical Microbiology. 45(1). 40–47. 12 indexed citations
19.
Sommese, Linda, et al.. (1996). Presence of Legionella spp. in thermal springs of the Campania region of south Italy.. PubMed. 19(4). 315–20. 5 indexed citations
20.
Vitiello, Milena, et al.. (1996). Prolactin regulates IL-1 alpha, IFN-gamma and IL-4 release from mouse splenocytes stimulated with some staphylococcal and streptococcal toxins.. PubMed. 19(4). 301–8. 5 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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