Marco J. Morelli

3.8k total citations
64 papers, 2.6k citations indexed

About

Marco J. Morelli is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Marco J. Morelli has authored 64 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 16 papers in Genetics and 8 papers in Immunology. Recurrent topics in Marco J. Morelli's work include Genomics and Chromatin Dynamics (14 papers), Gene Regulatory Network Analysis (8 papers) and RNA Research and Splicing (8 papers). Marco J. Morelli is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Gene Regulatory Network Analysis (8 papers) and RNA Research and Splicing (8 papers). Marco J. Morelli collaborates with scholars based in Italy, United Kingdom and United States. Marco J. Morelli's co-authors include Pieter Rein ten Wolde, Rosalind J. Allen, Bruno Amati, Daniel T. Haydon, Mattia Pelizzola, Sophia Rits‐Volloch, Bing Chen, Stefano Campaner, Donald P. King and Stefano de Pretis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Marco J. Morelli

62 papers receiving 2.6k citations

Peers

Marco J. Morelli
Hong Zhao China
Timothy Cardozo United States
Fredrik Vannberg United States
Joshua D. Kaufman United States
Sam Li United States
Jingchun Zhu United States
John L. Spouge United States
Hong Zhao China
Marco J. Morelli
Citations per year, relative to Marco J. Morelli Marco J. Morelli (= 1×) peers Hong Zhao

Countries citing papers authored by Marco J. Morelli

Since Specialization
Citations

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

Fields of papers citing papers by Marco J. Morelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco J. Morelli

This figure shows the co-authorship network connecting the top 25 collaborators of Marco J. Morelli. A scholar is included among the top collaborators of Marco J. Morelli 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 J. Morelli. Marco J. Morelli 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.
Barletta, Francesco, Giuseppe Ottone Cirulli, Roberta Lucianò, et al.. (2025). DNA methylation alterations in prostate cancer: from diagnosis to treatment. Translational Andrology and Urology. 14(2). 454–462. 2 indexed citations
2.
Morelli, Marco J., et al.. (2024). P02-23 A high-throughput gut-on-chip platform to study the epithelial responses to enterotoxins. Toxicology Letters. 399. S112–S112. 1 indexed citations
3.
Beretta, Stefano, Federico Rossari, Nadia Coltella, et al.. (2023). The transcription factor HIF2α partakes in the differentiation block of acute myeloid leukemia. EMBO Molecular Medicine. 15(11). e17810–e17810. 6 indexed citations
4.
Zambrano, Nicola, Dejan Lazarević, Margherita Passariello, et al.. (2022). High-Throughput Monoclonal Antibody Discovery from Phage Libraries: Challenging the Current Preclinical Pipeline to Keep the Pace with the Increasing mAb Demand. Cancers. 14(5). 1325–1325. 22 indexed citations
5.
Pellanda, Paola, M. Filipuzzi, Alessia Loffreda, et al.. (2021). Integrated requirement of non‐specific and sequence‐specific DNA binding in Myc‐driven transcription. The EMBO Journal. 40(10). e105464–e105464. 23 indexed citations
6.
Palmisano, Anna, Giulia Maria Scotti, Davide Ippolito, et al.. (2020). Chest CT in the emergency department for suspected COVID-19 pneumonia. La radiologia medica. 126(3). 498–502. 27 indexed citations
7.
Pretis, Stefano de, Theresia R. Kress, Marco J. Morelli, et al.. (2017). Integrative analysis of RNA polymerase II and transcriptional dynamics upon MYC activation. Genome Research. 27(10). 1658–1664. 46 indexed citations
8.
Morelli, Marco J., et al.. (2017). The cohesin complex prevents Myc-induced replication stress. Cell Death and Disease. 8(7). e2956–e2956. 12 indexed citations
9.
Tonelli, Claudia, Marco J. Morelli, Arianna Sabò, et al.. (2017). Genome-wide analysis of p53-regulated transcription in Myc-driven lymphomas. Oncogene. 36(21). 2921–2929. 12 indexed citations
10.
Bianchi, Valerio, Arnaud Céol, Stefano de Pretis, et al.. (2016). Integrated Systems for NGS Data Management and Analysis: Open Issues and Available Solutions. Frontiers in Genetics. 7. 75–75. 35 indexed citations
11.
Donato, Elisa, Ottavio Croci, Arianna Sabò, et al.. (2016). Compensatory RNA polymerase 2 loading determines the efficacy and transcriptional selectivity of JQ1 in Myc-driven tumors. Leukemia. 31(2). 479–490. 39 indexed citations
12.
Tonelli, Claudia, Bruno Amati, & Marco J. Morelli. (2015). p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo : Computational analysis of next-generation sequencing data. Genomics Data. 7. 29–31. 2 indexed citations
13.
Pelizzola, Mattia, Marco J. Morelli, Arianna Sabò, et al.. (2015). Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data. Data in Brief. 3. 40–46. 3 indexed citations
14.
Morelli, Marco J., Kristen M. Ogden, & John T. Patton. (2015). Silencing the alarms: Innate immune antagonism by rotavirus NSP1 and VP3. Virology. 479-480. 75–84. 39 indexed citations
15.
Orton, Richard, Caroline F. Wright, Marco J. Morelli, et al.. (2015). Distinguishing low frequency mutations from RT-PCR and sequence errors in viral deep sequencing data. BMC Genomics. 16(1). 229–229. 42 indexed citations
16.
Morelli, Marco J., Gaël Thébaud, Joël Chadœuf, et al.. (2012). A Bayesian Inference Framework to Reconstruct Transmission Trees Using Epidemiological and Genetic Data. PLoS Computational Biology. 8(11). e1002768–e1002768. 89 indexed citations
17.
Wright, Caroline F., Marco J. Morelli, Gaël Thébaud, et al.. (2010). Beyond the Consensus: Dissecting Within-Host Viral Population Diversity of Foot-and-Mouth Disease Virus by Using Next-Generation Genome Sequencing. Journal of Virology. 85(5). 2266–2275. 114 indexed citations
18.
Morelli, Marco J., Sorin Tănase‐Nicola, Rosalind J. Allen, & Pieter Rein ten Wolde. (2008). Reaction Coordinates for the Flipping of Genetic Switches. Biophysical Journal. 94(9). 3413–3423. 31 indexed citations
19.
Pasti, Luisa, et al.. (2007). GC/MS Analysis of Pesticides in the Ferrara Area (Italy) Surface Water: A Chemometric Study.. Annali di Chimica. 97(5-6). 359–372. 1 indexed citations
20.
Zon, Jeroen S. van, Marco J. Morelli, Sorin Tănase‐Nicola, & Pieter Rein ten Wolde. (2006). Diffusion of Transcription Factors Can Drastically Enhance the Noise in Gene Expression. Biophysical Journal. 91(12). 4350–4367. 115 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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