Giovanni Perconti

704 total citations
13 papers, 562 citations indexed

About

Giovanni Perconti is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Giovanni Perconti has authored 13 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Giovanni Perconti's work include S100 Proteins and Annexins (4 papers), MicroRNA in disease regulation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Giovanni Perconti is often cited by papers focused on S100 Proteins and Annexins (4 papers), MicroRNA in disease regulation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Giovanni Perconti collaborates with scholars based in Italy, Germany and Netherlands. Giovanni Perconti's co-authors include Agata Giallongo, Salvatore Feo, Arianna Ferro, Luigi Minafra, Letizia Carramusa, Paola Cappello, Roberto Chiarle, Francesco Novelli, Mirella Giovarelli and Patrizia Rubino and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Giovanni Perconti

12 papers receiving 562 citations

Peers

Giovanni Perconti
Suping Ren United States
Yun Xu China
Seema Chugh United States
John O'shea United States
Julianty Frost United Kingdom
Giovanni Perconti
Citations per year, relative to Giovanni Perconti Giovanni Perconti (= 1×) peers Moitza Principe

Countries citing papers authored by Giovanni Perconti

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Perconti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Perconti

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

All Works

13 of 13 papers shown
1.
Perricone, Ugo, Patrizia Rubino, Angela Bonura, et al.. (2025). ENO1/Hsp70 Interaction Domains: In Silico and In Vitro Insight for a Putative Therapeutic Target in Cancer. ACS Omega. 10(5). 5036–5046.
2.
Perconti, Giovanni, Federico Pratesi, Maria Laura Manca, et al.. (2020). Fingerprinting of anti-alpha enolase antibodies in systemic sclerosis.. PubMed. 38 Suppl 125(3). 115–119. 4 indexed citations
3.
Perconti, Giovanni, Patrizia Rubino, Michele Tumminello, et al.. (2019). RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets. BMC Bioinformatics. 20(S4). 120–120. 21 indexed citations
4.
Bartel, Sabine, Stefania La Grutta, Giovanna Cilluffo, et al.. (2019). Human airway epithelial extracellular vesicle miRNA signature is altered upon asthma development. Allergy. 75(2). 346–356. 89 indexed citations
5.
Perconti, Giovanni, Daniele P. Romancino, Patrizia Rubino, et al.. (2017). Pro-invasive stimuli and the interacting protein Hsp70 favour the route of alpha-enolase to the cell surface. Scientific Reports. 7(1). 3841–3841. 18 indexed citations
6.
Perconti, Giovanni, et al.. (2015). Cellular stress induces cap‐independent alpha‐enolase/MBP‐1 translation. FEBS Letters. 589(16). 2110–2116. 20 indexed citations
7.
Minafra, Luigi, Valentina Bravatà, G. Russo, et al.. (2015). Gene Expression Profiling of MCF10A Breast Epithelial Cells Exposed to IOERT.. PubMed. 35(6). 3223–34. 16 indexed citations
8.
Cappello, Paola, Simona Rolla, Roberto Chiarle, et al.. (2013). Vaccination With ENO1 DNA Prolongs Survival of Genetically Engineered Mice With Pancreatic Cancer. Gastroenterology. 144(5). 1098–1106. 100 indexed citations
9.
Mazzarella, Claudia, Arianna Ferro, Elena Roz, et al.. (2013). Negative transcriptional control of ERBB2 gene by MBP-1 and HDAC1: diagnostic implications in breast cancer. BMC Cancer. 13(1). 81–81. 15 indexed citations
10.
Ferro, Arianna, Claudia Mazzarella, Elena Roz, et al.. (2010). Myc Promoter-Binding Protein-1 (MBP-1) Is a Novel Potential Prognostic Marker in Invasive Ductal Breast Carcinoma. PLoS ONE. 5(9). e12961–e12961. 31 indexed citations
11.
Cappello, Paola, Roberto Chiarle, Patrizia Ceruti, et al.. (2009). An integrated humoral and cellular response is elicited in pancreatic cancer by α‐enolase, a novel pancreatic ductal adenocarcinoma‐associated antigen. International Journal of Cancer. 125(3). 639–648. 96 indexed citations
12.
Perconti, Giovanni, Arianna Ferro, Felice Amato, et al.. (2007). The Kelch protein NS1-BP interacts with alpha-enolase/MBP-1 and is involved in c-Myc gene transcriptional control. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(12). 1774–1785. 35 indexed citations
13.
Carramusa, Letizia, Arianna Ferro, Luigi Minafra, et al.. (2007). The PVT‐1 oncogene is a Myc protein target that is overexpressed in transformed cells. Journal of Cellular Physiology. 213(2). 511–518. 117 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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