Massimo Caputi

2.6k total citations
38 papers, 2.0k citations indexed

About

Massimo Caputi is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Massimo Caputi has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Virology and 8 papers in Infectious Diseases. Recurrent topics in Massimo Caputi's work include RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (13 papers) and HIV Research and Treatment (9 papers). Massimo Caputi is often cited by papers focused on RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (13 papers) and HIV Research and Treatment (9 papers). Massimo Caputi collaborates with scholars based in United States, Italy and Denmark. Massimo Caputi's co-authors include Alan M. Zahler, Sean Paz, Adrian R. Krainer, Joseph Jablonski, Akila Mayeda, Francisco E. Baralle, Karen Beemon, Carlos A. Melo, Evan Clark and Christian Kroun Damgaard and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Massimo Caputi

38 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Caputi United States 22 1.7k 379 204 179 163 38 2.0k
Cyril F. Bourgeois France 26 2.0k 1.2× 239 0.6× 102 0.5× 142 0.8× 242 1.5× 39 2.3k
Andrew Kim United States 8 846 0.5× 485 1.3× 82 0.4× 214 1.2× 317 1.9× 9 1.3k
M Kuppuswamy United States 18 766 0.5× 217 0.6× 121 0.6× 147 0.8× 149 0.9× 27 1.5k
Jared L. Clever United States 18 1.2k 0.7× 723 1.9× 126 0.6× 312 1.7× 382 2.3× 19 1.9k
Alagarsamy Srinivasan United States 19 766 0.5× 660 1.7× 40 0.2× 408 2.3× 312 1.9× 55 1.6k
Liwei Rong Canada 20 1.5k 0.9× 710 1.9× 80 0.4× 478 2.7× 684 4.2× 30 2.3k
Alessandro Michienzi Italy 21 1.0k 0.6× 252 0.7× 120 0.6× 78 0.4× 185 1.1× 36 1.2k
Sonia Jiménez-Baranda Spain 15 839 0.5× 255 0.7× 42 0.2× 152 0.8× 882 5.4× 18 2.0k
Chiara Bovolenta Italy 22 660 0.4× 350 0.9× 45 0.2× 160 0.9× 839 5.1× 45 1.6k
Elisa Santolini Italy 9 1.1k 0.7× 72 0.2× 110 0.5× 142 0.8× 95 0.6× 10 2.0k

Countries citing papers authored by Massimo Caputi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Caputi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Caputi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Caputi. A scholar is included among the top collaborators of Massimo Caputi 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 Massimo Caputi. Massimo Caputi 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.
Paz, Sean, et al.. (2025). Backsplicing of the HIV-1 transcript generates multiple circRNAs to promote viral replication. PubMed. 3(1). 21–21. 1 indexed citations
2.
Caputi, Massimo, et al.. (2024). Development of a LAMP-Based Diagnostic for the Detection of Multiple HIV-1 Strains. Biosensors. 14(4). 157–157. 3 indexed citations
4.
Xu, Yifan, Xiaohui Xu, Blaine H. M. Mooers, et al.. (2020). SRSF1 regulates exosome microRNA enrichment in human cancer cells. Cell Communication and Signaling. 18(1). 130–130. 31 indexed citations
5.
Paz, Sean, et al.. (2020). A simplified SARS-CoV-2 detection protocol for research laboratories. PLoS ONE. 15(12). e0244271–e0244271. 11 indexed citations
6.
Kabir, Md Alamgir, Rubén Soto-Acosta, Sandhya Sharma, et al.. (2020). An antibody panel for highly specific detection and differentiation of Zika virus. Scientific Reports. 10(1). 11906–11906. 10 indexed citations
7.
Paz, Sean, et al.. (2020). The RNA binding protein SRSF1 is a master switch of gene expression and regulation in the immune system. Cytokine & Growth Factor Reviews. 57. 19–26. 54 indexed citations
8.
Paz, Sean, et al.. (2014). A truncated hnRNP A1 isoform, lacking the RGG-box RNA binding domain, can efficiently regulate HIV-1 splicing and replication. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(4). 251–258. 15 indexed citations
9.
Panelli, Damiano, F. Lorusso, Francesco Papa, et al.. (2012). The mechanism of alternative splicing of the X-linked NDUFB11 gene of the respiratory chain complex I, impact of rotenone treatment in neuroblastoma cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1829(2). 211–218. 8 indexed citations
10.
Huranová, Martina, Joseph Jablonski, Aleš Benda, et al.. (2009). In vivo detection of RNA-binding protein interactions with cognate RNA sequences by fluorescence resonance energy transfer. RNA. 15(11). 2063–2071. 22 indexed citations
11.
Jablonski, Joseph, Antonio L. Amelio, Mauro Giacca, & Massimo Caputi. (2009). The transcriptional transactivator Tat selectively regulates viral splicing. Nucleic Acids Research. 38(4). 1249–1260. 39 indexed citations
12.
Amelio, Antonio L., Massimo Caputi, & Michael D. Conkright. (2009). Bipartite functions of the CREB co‐activators selectively direct alternative splicing or transcriptional activation. The EMBO Journal. 28(18). 2733–2747. 21 indexed citations
13.
14.
Giles, Keith E., Massimo Caputi, & Karen Beemon. (2004). Packaging and reverse transcription of snRNAs by retroviruses may generate pseudogenes. RNA. 10(2). 299–307. 34 indexed citations
15.
Zahler, Alan M., Christian Kroun Damgaard, Jørgen Kjems, & Massimo Caputi. (2004). SC35 and Heterogeneous Nuclear Ribonucleoprotein A/B Proteins Bind to a Juxtaposed Exonic Splicing Enhancer/Exonic Splicing Silencer Element to Regulate HIV-1 tat Exon 2 Splicing. Journal of Biological Chemistry. 279(11). 10077–10084. 111 indexed citations
16.
Caputi, Massimo. (2002). SR proteins and hnRNP H regulate the splicing of the HIV-1 tev-specific exon 6D. The EMBO Journal. 21(4). 845–855. 114 indexed citations
17.
Caputi, Massimo, Akila Mayeda, Adrian R. Krainer, & Alan M. Zahler. (1999). hnRNP A/B proteins are required for inhibition of HIV-1 pre-mRNA splicing. The EMBO Journal. 18(14). 4060–4067. 233 indexed citations
18.
Caputi, Massimo, Carlos A. Melo, & Francisco E. Baralle. (1995). Regulation of fibronectin expression in rat regenerating liver. Nucleic Acids Research. 23(2). 238–243. 30 indexed citations
19.
Caputi, Massimo, Francisco E. Baralle, & Carlos A. Melo. (1995). Analysis of the linkage between fibronectin alternative spliced sites during ageing in rat tissues. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1263(1). 53–59. 12 indexed citations
20.
Caputi, Massimo, et al.. (1994). A novel bipartite splicing enhancer modulates the differential processing of the human fibronectin EDA exon. Nucleic Acids Research. 22(6). 1018–1022. 135 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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