Ivan Merelli

4.0k total citations · 2 hit papers
144 papers, 2.0k citations indexed

About

Ivan Merelli is a scholar working on Molecular Biology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Ivan Merelli has authored 144 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 26 papers in Genetics and 24 papers in Computer Networks and Communications. Recurrent topics in Ivan Merelli's work include Bioinformatics and Genomic Networks (21 papers), Distributed and Parallel Computing Systems (18 papers) and Gene expression and cancer classification (17 papers). Ivan Merelli is often cited by papers focused on Bioinformatics and Genomic Networks (21 papers), Distributed and Parallel Computing Systems (18 papers) and Gene expression and cancer classification (17 papers). Ivan Merelli collaborates with scholars based in Italy, United States and United Kingdom. Ivan Merelli's co-authors include Luciano Milanesi, Daniele D’Agostino, Federica Chiappori, Stefano Beretta, Andrea Calabria, Luigi Naldini, Samuele Ferrari, Sandra Gesing, Federica Viti and Luisa Albano and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ivan Merelli

136 papers receiving 1.9k citations

Hit Papers

Genotoxic effects of base and prime editing in human hema... 2023 2026 2024 2025 2023 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Merelli Italy 22 1.3k 407 241 208 149 144 2.0k
Johannes Köster Germany 17 1.6k 1.3× 309 0.8× 165 0.7× 136 0.7× 113 0.8× 44 2.5k
Mohamed Abouelhoda Saudi Arabia 20 822 0.7× 388 1.0× 68 0.3× 170 0.8× 99 0.7× 72 1.6k
Michael D. Linderman United States 22 927 0.7× 351 0.9× 98 0.4× 309 1.5× 318 2.1× 45 2.4k
Niko Popitsch Austria 20 560 0.4× 219 0.5× 111 0.5× 109 0.5× 66 0.4× 46 1.2k
Akira Funahashi Japan 19 2.0k 1.6× 146 0.4× 297 1.2× 120 0.6× 137 0.9× 72 2.9k
Geir Kjetil Sandve Norway 23 1.1k 0.9× 200 0.5× 125 0.5× 390 1.9× 63 0.4× 82 2.0k
William S. Hlavacek United States 36 2.9k 2.3× 402 1.0× 263 1.1× 522 2.5× 32 0.2× 103 4.0k
Adam Kieżun United States 23 1.1k 0.9× 490 1.2× 501 2.1× 423 2.0× 154 1.0× 43 3.2k
D. B. Troup United States 7 2.2k 1.8× 313 0.8× 203 0.8× 170 0.8× 34 0.2× 9 2.9k
Benjamin P. Berman United States 37 4.0k 3.2× 869 2.1× 417 1.7× 439 2.1× 127 0.9× 75 5.3k

Countries citing papers authored by Ivan Merelli

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Merelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Merelli

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Merelli. A scholar is included among the top collaborators of Ivan Merelli 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 Ivan Merelli. Ivan Merelli 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.
Rossari, Federico, Giorgia Alvisi, Melania Cusimano, et al.. (2025). A cross-talk established by tumor-targeted cytokines rescues CAR T cell activity and engages host T cells against glioblastoma in mice. Science Translational Medicine. 17(805). eado9511–eado9511. 1 indexed citations
2.
Beretta, Stefano, Laura Passerini, Marilena Mancino, et al.. (2024). Transcriptomic analysis of BM-MSCs identified EGR1 as a transcription factor to fully exploit their therapeutic potential. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(8). 119818–119818. 1 indexed citations
3.
Rossari, Federico, Gualtiero Alvisi, Michael D. Cusimano, et al.. (2024). 52P Tumor-targeted cytokine release by genetically-engineered myeloid cells rescues CAR-T activity and engages endogenous T cells against high-grade glioma in mouse models. Immuno-Oncology Technology. 24. 100863–100863.
4.
Beretta, Stefano, Ingrid Cifola, Clelia Peano, et al.. (2024). Human iPSC-derived neural stem cells displaying radial glia signature exhibit long-term safety in mice. Nature Communications. 15(1). 9433–9433. 5 indexed citations
5.
Barzaghi, Federica, Isabel Pagani, Federico Forneris, et al.. (2024). A novel STING variant triggers endothelial toxicity and SAVI disease. The Journal of Experimental Medicine. 221(9). 6 indexed citations
6.
Ferrari, Samuele, Attya Omer, Stefano Beretta, et al.. (2023). Genotoxic effects of base and prime editing in human hematopoietic stem cells. Nature Biotechnology. 42(6). 877–891. 93 indexed citations breakdown →
7.
Vavassori, Valentina, Samuele Ferrari, Stefano Beretta, et al.. (2023). Lipid nanoparticles allow efficient and harmless ex vivo gene editing of human hematopoietic cells. Blood. 142(9). 812–826. 40 indexed citations
8.
9.
Cusimano, Melania, Federico Rossari, Stefano Beretta, et al.. (2022). Targeted inducible delivery of immunoactivating cytokines reprograms glioblastoma microenvironment and inhibits growth in mouse models. Science Translational Medicine. 14(653). eabl4106–eabl4106. 54 indexed citations
10.
Mucci, Adele, Gabriele Antonarelli, Giacomo Desantis, et al.. (2021). Myeloid cell‐based delivery of IFN‐γ reprograms the leukemia microenvironment and induces anti‐tumoral immune responses. EMBO Molecular Medicine. 13(10). e13598–e13598. 20 indexed citations
11.
Ferrari, Samuele, Stefano Beretta, Aurélien Jacob, et al.. (2021). BAR-Seq clonal tracking of gene-edited cells. Nature Protocols. 16(6). 2991–3025. 9 indexed citations
12.
Lettera, Emanuele, Stefano Beretta, Anastasia Conti, et al.. (2021). Oncogene-induced senescence in hematopoietic progenitors features myeloid restricted hematopoiesis, chronic inflammation and histiocytosis. Nature Communications. 12(1). 4559–4559. 32 indexed citations
13.
Ferrua, Francesca, Elena Fontana, Stefano Beretta, et al.. (2021). Premature Senescence and Increased Oxidative Stress in the Thymus of Down Syndrome Patients. Frontiers in Immunology. 12. 669893–669893. 17 indexed citations
14.
Aprile, Annamaria, Alessandro Gulino, Mariangela Storto, et al.. (2020). Hematopoietic stem cell function in β-thalassemia is impaired and is rescued by targeting the bone marrow niche. Blood. 136(5). 610–622. 23 indexed citations
15.
Ferrari, Samuele, Aurélien Jacob, Stefano Beretta, et al.. (2020). Efficient gene editing of human long-term hematopoietic stem cells validated by clonal tracking. Nature Biotechnology. 38(11). 1298–1308. 108 indexed citations
16.
D’Agostino, Daniele, Alfonso Quarati, Andrea Clematis, et al.. (2019). SoC-based computing infrastructures for scientific applications and commercial services: Performance and economic evaluations. Future Generation Computer Systems. 96. 11–22. 11 indexed citations
17.
Morganti, Lucia, et al.. (2019). On low‐power SoCs as storage bricks for Bioinformatics. Concurrency and Computation Practice and Experience. 32(10). 1 indexed citations
18.
Galluccio, Nadia, Margherita Romeo, Stefano Beretta, et al.. (2016). SPIRE, a modular pipeline for eQTL analysis of RNA-Seq data, reveals a regulatory hotspot controlling miRNA expression in C. elegans. Molecular BioSystems. 12(11). 3447–3458. 5 indexed citations
19.
Chiappori, Federica, Luciano Milanesi, & Ivan Merelli. (2016). HPC Analysis of Multiple Binding Sites Communication and Allosteric Modulations in Drug Design: The HSP Case Study. Current Drug Targets. 17(14). 1610–1625. 1 indexed citations
20.
Corrada, Dario, Federica Viti, Ivan Merelli, Cristina Battaglia, & Luciano Milanesi. (2011). myMIR: a genome-wide microRNA targets identification and annotation tool. Briefings in Bioinformatics. 12(6). 588–600. 21 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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