Marco Vacchiano

977 total citations
9 papers, 720 citations indexed

About

Marco Vacchiano is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Marco Vacchiano has authored 9 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Marco Vacchiano's work include Liver Disease Diagnosis and Treatment (5 papers), Liver Diseases and Immunity (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). Marco Vacchiano is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver Diseases and Immunity (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). Marco Vacchiano collaborates with scholars based in Italy, Netherlands and Germany. Marco Vacchiano's co-authors include Irene Locatelli, Emanuele Albano, Cristina Bozzola, Salvatore Sutti, Aastha Jindal, Casimiro Luca Gigliotti, Pierluigi Carullo, Nicolò Salvarani, Michele Iafisco and Daniele Catalucci and has published in prestigious journals such as Journal of Clinical Investigation, Hepatology and Journal of Hepatology.

In The Last Decade

Marco Vacchiano

9 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Vacchiano Italy 8 310 241 115 115 88 9 720
Gwon‐Soo Jung South Korea 15 104 0.3× 229 1.0× 71 0.6× 29 0.3× 92 1.0× 27 591
Katharina John Germany 13 157 0.5× 182 0.8× 89 0.8× 84 0.7× 81 0.9× 20 533
Lingling Shu China 14 119 0.4× 274 1.1× 87 0.8× 47 0.4× 37 0.4× 35 596
Juanli Duan China 19 270 0.9× 591 2.5× 133 1.2× 253 2.2× 40 0.5× 34 1.1k
Jie Kuang China 12 160 0.5× 244 1.0× 46 0.4× 29 0.3× 135 1.5× 27 614
Sarani Ghoshal United States 10 189 0.6× 201 0.8× 29 0.3× 120 1.0× 42 0.5× 15 529
Moon Hee Yang South Korea 18 131 0.4× 477 2.0× 54 0.5× 32 0.3× 48 0.5× 37 952
Qi Long China 17 87 0.3× 447 1.9× 116 1.0× 26 0.2× 23 0.3× 44 787
Qingmin Zeng China 16 96 0.3× 274 1.1× 51 0.4× 39 0.3× 21 0.2× 49 665

Countries citing papers authored by Marco Vacchiano

Since Specialization
Citations

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

Fields of papers citing papers by Marco Vacchiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Vacchiano

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

All Works

9 of 9 papers shown
1.
Miragoli, Michele, Michele Iafisco, Marco Vacchiano, et al.. (2018). Inhalation of peptide-loaded nanoparticles improves heart failure. Science Translational Medicine. 10(424). 137 indexed citations
2.
Elia, Leonardo, Paolo Kunderfranco, Pierluigi Carullo, et al.. (2018). UHRF1 epigenetically orchestrates smooth muscle cell plasticity in arterial disease. Journal of Clinical Investigation. 128(6). 2473–2486. 65 indexed citations
3.
Larcher, Veronica, Paolo Kunderfranco, Marco Vacchiano, et al.. (2017). An autofluorescence-based method for the isolation of highly purified ventricular cardiomyocytes. Cardiovascular Research. 114(3). 409–416. 9 indexed citations
4.
Mauro, Vittoria Di, Michele Iafisco, Nicolò Salvarani, et al.. (2016). Bioinspired Negatively Charged Calcium Phosphate Nanocarriers for Cardiac Delivery of MicroRNAs. Nanomedicine. 11(8). 891–906. 79 indexed citations
5.
Sutti, Salvatore, Irene Locatelli, Stefania Bruzzì, et al.. (2015). CX3CR1-expressing inflammatory dendritic cells contribute to the progression of steatohepatitis. Clinical Science. 129(9). 797–808. 68 indexed citations
6.
Locatelli, Irene, Salvatore Sutti, Aastha Jindal, et al.. (2014). Endogenous annexin A1 is a novel protective determinant in nonalcoholic steatohepatitis in mice. Hepatology. 60(2). 531–544. 84 indexed citations
7.
Sutti, Salvatore, et al.. (2013). 1300 IMMUNE RESPONSES TRIGGERED BY OXIDATIVE STRESS CONTRIBUTE TO HEPATIC INFLAMMATION IN NONALCOHOLIC STEATO-HEPATITIS (NASH). Journal of Hepatology. 58. S525–S525. 2 indexed citations
8.
Sutti, Salvatore, Aastha Jindal, Irene Locatelli, et al.. (2013). Adaptive immune responses triggered by oxidative stress contribute to hepatic inflammation in NASH. Hepatology. 59(3). 886–897. 217 indexed citations
9.
Locatelli, Irene, Salvatore Sutti, Marco Vacchiano, Cristina Bozzola, & Emanuele Albano. (2012). NF-κB1 deficiency stimulates the progression of non-alcoholic steatohepatitis (NASH) in mice by promoting NKT-cell-mediated responses. Clinical Science. 124(4). 279–287. 59 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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