Alberto Inga

6.1k total citations · 1 hit paper
143 papers, 4.7k citations indexed

About

Alberto Inga is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Alberto Inga has authored 143 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 80 papers in Oncology and 36 papers in Cancer Research. Recurrent topics in Alberto Inga's work include Cancer-related Molecular Pathways (75 papers), RNA modifications and cancer (37 papers) and Epigenetics and DNA Methylation (25 papers). Alberto Inga is often cited by papers focused on Cancer-related Molecular Pathways (75 papers), RNA modifications and cancer (37 papers) and Epigenetics and DNA Methylation (25 papers). Alberto Inga collaborates with scholars based in Italy, United States and United Kingdom. Alberto Inga's co-authors include Michael A. Resnick, Daniel Menéndez, Gilberto Fronza, Yari Ciribilli, Paola Monti, Alessandra Bisio, Paola Menichini, Francesca Storici, Jennifer Jordan and Paola Campomenosi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Alberto Inga

142 papers receiving 4.7k citations

Hit Papers

A highly specific SpCas9 variant is identified by in vivo... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Inga Italy 38 3.8k 2.2k 1.2k 422 342 143 4.7k
Natalia Issaeva United States 25 3.4k 0.9× 2.5k 1.2× 756 0.7× 274 0.6× 405 1.2× 47 4.4k
Gareth L. Bond United Kingdom 23 2.6k 0.7× 2.2k 1.0× 825 0.7× 277 0.7× 232 0.7× 41 3.6k
Ran Brosh Israel 29 2.6k 0.7× 1.5k 0.7× 968 0.8× 294 0.7× 250 0.7× 45 3.7k
Jill Bargonetti United States 31 4.2k 1.1× 3.9k 1.8× 1.3k 1.1× 489 1.2× 799 2.3× 73 5.8k
Steven P. Linke United States 26 3.5k 0.9× 2.2k 1.0× 965 0.8× 686 1.6× 373 1.1× 41 4.7k
Maurizio Fanciulli Italy 32 2.8k 0.8× 1.1k 0.5× 821 0.7× 338 0.8× 272 0.8× 115 4.0k
William Walsh United States 10 3.3k 0.9× 3.2k 1.5× 906 0.8× 269 0.6× 877 2.6× 41 4.6k
Nickolai A. Barlev Russia 28 3.4k 0.9× 1.2k 0.6× 605 0.5× 385 0.9× 139 0.4× 71 4.3k
Dimitris Athineos United Kingdom 26 2.6k 0.7× 1.2k 0.6× 996 0.9× 232 0.5× 175 0.5× 36 3.7k
Silvia Di Agostino Italy 35 2.5k 0.7× 1.4k 0.6× 1.0k 0.9× 225 0.5× 238 0.7× 66 3.6k

Countries citing papers authored by Alberto Inga

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Inga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Inga

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Inga. A scholar is included among the top collaborators of Alberto Inga 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 Alberto Inga. Alberto Inga 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.
Venturi, Giulia, Margherita Serra, Catia Giovannini, et al.. (2025). Characterization of small nucleolar RNA retaining transcripts in human normal and cancer cells. Non-coding RNA Research. 13. 153–161.
4.
Zucal, Chiara, Alessandra Bisio, Alessandro Provenzani, et al.. (2021). Limonium duriusculum (de Girard) Kuntze Exhibits Anti-inflammatory Effect Via NF-κB Pathway Modulation. Brazilian Archives of Biology and Technology. 64. 3 indexed citations
5.
Lauria, Fabio, Paola Bernabò, Toma Tebaldi, et al.. (2020). SMN-primed ribosomes modulate the translation of transcripts related to spinal muscular atrophy. Nature Cell Biology. 22(10). 1239–1251. 62 indexed citations
6.
Nassiri, Isar, et al.. (2019). Regulatory Crosstalk of Doxorubicin, Estradiol and TNFα Combined Treatment in Breast Cancer-derived Cell Lines. Scientific Reports. 9(1). 2 indexed citations
7.
Monti, Paola, Yari Ciribilli, Giorgia Foggetti, et al.. (2019). P63 modulates the expression of theWDFY2gene which is implicated in cancer regulation and limb development. Bioscience Reports. 39(12). 7 indexed citations
8.
Casini, Antonio, Michele Olivieri, Gianluca Petris, et al.. (2018). A highly specific SpCas9 variant is identified by in vivo screening in yeast. Nature Biotechnology. 36(3). 265–271. 367 indexed citations breakdown →
9.
Andrysík, Zdeněk, Matthew D. Galbraith, Anna L. Guarnieri, et al.. (2017). Identification of a core TP53 transcriptional program with highly distributed tumor suppressive activity. Genome Research. 27(10). 1645–1657. 108 indexed citations
10.
Bruno, William, Virginia Andreotti, Alessandra Bisio, et al.. (2017). Functional analysis of a CDKN2A 5’UTR germline variant associated with pancreatic cancer development. PLoS ONE. 12(12). e0189123–e0189123. 1 indexed citations
11.
Latorre, Elisa, Stephana Carelli, Ivan Raimondi, et al.. (2016). The Ribonucleic Complex HuR-MALAT1 Represses CD133 Expression and Suppresses Epithelial–Mesenchymal Transition in Breast Cancer. Cancer Research. 76(9). 2626–2636. 111 indexed citations
12.
Monti, Paola, Giorgia Foggetti, Paola Menichini, et al.. (2013). Comparison of the biological effects of MMS and Me-lex, a minor groove methylating agent: Clarifying the role of N3-methyladenine. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 759. 45–51. 2 indexed citations
13.
Ozretić, Petar, Alessandra Bisio, Alberto Inga, & Sonja Levanat. (2012). The growing relevance of cap-independent translation initiation in cancer-related genes. Periodicum Biologorum. 114(4). 471–478. 3 indexed citations
14.
Monti, Paola, Chiara Perfumo, Alessandra Bisio, et al.. (2011). Dominant-Negative Features of Mutant TP53 in Germline Carriers Have Limited Impact on Cancer Outcomes. Molecular Cancer Research. 9(3). 271–279. 64 indexed citations
15.
Jordan, Jennifer, Alberto Inga, Kathleen Conway, et al.. (2010). Altered-Function p53 Missense Mutations Identified in Breast Cancers Can Have Subtle Effects on Transactivation. Molecular Cancer Research. 8(5). 701–716. 56 indexed citations
16.
Menéndez, Daniel, Alberto Inga, & Michael A. Resnick. (2010). Potentiating the p53 network.. PubMed. 10(50). 94–100. 28 indexed citations
17.
Menéndez, Daniel, Alberto Inga, & Michael A. Resnick. (2009). The expanding universe of p53 targets. Nature reviews. Cancer. 9(10). 724–737. 452 indexed citations
18.
Reamon-Buettner, Stella Marie, Yari Ciribilli, Alberto Inga, & Jürgen Borlak. (2008). A loss-of-function mutation in the binding domain of HAND1 predicts hypoplasia of the human hearts. Human Molecular Genetics. 17(10). 1397–1405. 75 indexed citations
19.
Monti, Paola, Yari Ciribilli, Jennifer Jordan, et al.. (2007). Transcriptional Functionality of Germ Line p53 Mutants Influences Cancer Phenotype. Clinical Cancer Research. 13(13). 3789–3795. 43 indexed citations
20.
Monti, Paola, Alberto Inga, Gina B. Scott, et al.. (1999). 5-Methylcytosine at HpaII sites in p53 is not hypermutable after UVC irradiation. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 431(1). 93–103. 7 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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