Claudio Scafoglio

1.8k total citations
26 papers, 1.3k citations indexed

About

Claudio Scafoglio is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Claudio Scafoglio has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Claudio Scafoglio's work include Estrogen and related hormone effects (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Gene expression and cancer classification (5 papers). Claudio Scafoglio is often cited by papers focused on Estrogen and related hormone effects (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Gene expression and cancer classification (5 papers). Claudio Scafoglio collaborates with scholars based in United States, Italy and Germany. Claudio Scafoglio's co-authors include Jorge R. Barrio, Michael G. Rosenfeld, Kenneth A. Ohgi, Nagichettiar Satyamurthy, Ernest M. Wright, Vladimir Kepe, Alessandro Weisz, Bruce A. Hirayama, Chiara Ghezzi and Luigi Cicatiello and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Claudio Scafoglio

24 papers receiving 1.3k citations

Peers

Claudio Scafoglio
Daniel L. Altschuler United States
Minjing Zou Saudi Arabia
Robert X.-D. Song United States
Daniel L. Altschuler United States
Claudio Scafoglio
Citations per year, relative to Claudio Scafoglio Claudio Scafoglio (= 1×) peers Daniel L. Altschuler

Countries citing papers authored by Claudio Scafoglio

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Scafoglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Scafoglio

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Scafoglio. A scholar is included among the top collaborators of Claudio Scafoglio 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 Claudio Scafoglio. Claudio Scafoglio 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.
Soto, Ana Maria, et al.. (2025). Exploring the Role of SGLT2 Inhibitors in Cancer: Mechanisms of Action and Therapeutic Opportunities. Cancers. 17(3). 466–466. 12 indexed citations
2.
Fung, Eileen, Jane Yanagawa, Erika F. Rodriguez, et al.. (2023). Glucose Deprivation Promotes Pseudohypoxia and Dedifferentiation in Lung Adenocarcinoma. Cancer Research. 84(2). 305–327. 20 indexed citations
3.
Pandey, Avinash, Eileen Fung, Aaron A. Hall, et al.. (2023). P1.02-06 Glucose Deprivation Promotes Pseudo-Hypoxia and De-differentiation in Lung Adenocarcinoma. Journal of Thoracic Oncology. 18(11). S190–S190. 1 indexed citations
4.
Yanagawa, Jane, Ramin Salehi‐Rad, Avinash Pandey, et al.. (2023). P1.13-05 Targeting SGLT2 for Early Diagnosis of Lung Adenocarcinoma. Journal of Thoracic Oncology. 18(11). S213–S214.
5.
Tran, Linh M., Raymond J. Lim, Camelia Dumitras, et al.. (2021). Genotoxic Treatment Enhances Immune Response in a Genetic Model of Lung Cancer. Cancers. 13(14). 3595–3595. 5 indexed citations
6.
Sellitto, Assunta, Giorgio Giurato, Giovanni Nassa, et al.. (2021). Regulation of Metabolic Reprogramming by Long Non-Coding RNAs in Cancer. Cancers. 13(14). 3485–3485. 18 indexed citations
7.
Barrio, Jorge R., Sung-Cheng Huang, Nagichettiar Satyamurthy, et al.. (2019). Does 2-FDG PET Accurately Reflect Quantitative In Vivo Glucose Utilization?. Journal of Nuclear Medicine. 61(6). 931–937. 32 indexed citations
8.
Kepe, Vladimir, Claudio Scafoglio, Jie Liu, et al.. (2018). Positron emission tomography of sodium glucose cotransport activity in high grade astrocytomas. Journal of Neuro-Oncology. 138(3). 557–569. 29 indexed citations
9.
Scafoglio, Claudio, Gihad Abdelhady, Sean T. Bailey, et al.. (2018). Sodium-glucose transporter 2 is a diagnostic and therapeutic target for early-stage lung adenocarcinoma. Science Translational Medicine. 10(467). 124 indexed citations
10.
Scafoglio, Claudio, Antonio Rinaldi, Domenico Memoli, et al.. (2015). Estrogen receptor beta impacts hormone-induced alternative mRNA splicing in breast cancer cells. BMC Genomics. 16(1). 367–367. 25 indexed citations
11.
Scafoglio, Claudio, Marcus B. Smolka, Huilin Zhou, Valentina Perissi, & Michael G. Rosenfeld. (2013). The Co-Repressor SMRT Delays DNA Damage-Induced Caspase Activation by Repressing Pro-Apoptotic Genes and Modulating the Dynamics of Checkpoint Kinase 2 Activation. PLoS ONE. 8(5). e59986–e59986. 8 indexed citations
12.
Perissi, Valentina, Claudio Scafoglio, Jie Zhang, et al.. (2008). TBL1 and TBLR1 Phosphorylation on Regulated Gene Promoters Overcomes Dual CtBP and NCoR/SMRT Transcriptional Repression Checkpoints. Molecular Cell. 29(6). 755–766. 132 indexed citations
13.
Sismondi, P, Nicoletta Biglia, Riccardo Ponzone, et al.. (2007). Influence of estrogens and antiestrogens on the expression of selected hormone-responsive genes. Maturitas. 57(1). 50–55. 11 indexed citations
14.
Olson, Lorin E., Jessica Tollkühn, Claudio Scafoglio, et al.. (2006). Homeodomain-Mediated β-Catenin-Dependent Switching Events Dictate Cell-Lineage Determination. Cell. 125(3). 593–605. 220 indexed citations
15.
Scafoglio, Claudio, Concetta Ambrosino, Luigi Cicatiello, et al.. (2006). Comparative gene expression profiling reveals partially overlapping but distinct genomic actions of different antiestrogens in human breast cancer cells. Journal of Cellular Biochemistry. 98(5). 1163–1184. 38 indexed citations
16.
Mutarelli, Margherita, Claudio Scafoglio, Luigi Cicatiello, Angelo Facchiano, & Alessandro Weisz. (2006). Identification of the estrogen-responsive transcriptome from human breast cancer cells: a comparative analysis with four different microarray platforms..
18.
Cicatiello, Luigi, Claudio Scafoglio, Lucia Altucci, et al.. (2004). A genomic view of estrogen actions in human breast cancer cells by expression profiling of the hormone-responsive transcriptome. Journal of Molecular Endocrinology. 32(3). 719–775. 75 indexed citations
19.
Weisz, Alessandro, Claudio Scafoglio, Lucia Altucci, et al.. (2004). Molecular identification of ERα‐positive breast cancer cells by the expression profile of an intrinsic set of estrogen regulated genes. Journal of Cellular Physiology. 200(3). 440–450. 41 indexed citations
20.
Sorbello, Valentina, Luca Fuso, Christian Sfiligoi, et al.. (2003). Quantitative real-time RT-PCR analysis of eight novel estrogen-regulated genes in breast cancer. The International Journal of Biological Markers. 18(2). 123–129. 20 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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