Ivan Merelli
Impact in
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- Pluripotent Stem Cells Research
- Protein Structure and Dynamics
Papers in
-
- Bioinformatics and Genomic Networks 18
- CRISPR and Genetic Engineering 12
- Gene expression and cancer classification 10
- Genomics and Chromatin Dynamics 9
- Genomics and Phylogenetic Studies 9
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- Distributed and Parallel Computing Systems 17
- Co-authors
- Luciano Milanesi (74 shared papers)Daniele D’Agostino (39 shared papers)Stefano Beretta (33 shared papers)Federica Chiappori (14 shared papers)Luigi Naldini (16 shared papers)Andrea Calabria (10 shared papers)Samuele Ferrari (9 shared papers)Luisa Albano (6 shared papers)
- Journals
- BMC Bioinformatics (13 papers)Blood (8 papers)Nature Communications (6 papers)Future Generation Computer Systems (4 papers)BioMed Research International (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Ivan Merelli
139 papers receiving 2.1k citations
Ivan Merelli's Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 1.2k
- Business and International Management 34
- Virology 71
- Genetics 399
- Aging 23
Countries citing papers authored by Ivan Merelli
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
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-authors
The 25 scholars most cited alongside Ivan Merelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 215 | |
| 2 | 2020 | 115 | |
| 3 | Genotoxic effects of base and prime editing in human hematopoietic stem cells Hit paper breakdown → | 2023 | 112 |
| 4 | Durable and efficient gene silencing in vivo by hit-and-run epigenome editing Hit paper breakdown → | 2024 | 112 |
| 5 | 2014 | 102 | |
| 6 | 2010 | 74 | |
| 7 | 2017 | 73 | |
| 8 | 2022 | 58 | |
| 9 | 2010 | 56 | |
| 10 | 2023 | 46 | |
| 11 | 2012 | 46 | |
| 12 | 2023 | 45 | |
| 13 | 2015 | 38 | |
| 14 | 2016 | 35 | |
| 15 | 2018 | 33 | |
| 16 | 2021 | 32 | |
| 17 | 2006 | 30 | |
| 18 | 2020 | 24 | |
| 19 | 2013 | 23 | |
| 20 | 2009 | 23 |
About Ivan Merelli
Ivan Merelli is a scholar working on Molecular Biology, Computer Networks and Communications, Genetics, Information Systems and Management and Immunology, having authored 149 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Distributed and Parallel Computing Systems (17 papers), Scientific Computing and Data Management (15 papers), CRISPR and Genetic Engineering (12 papers), Virus-based gene therapy research (11 papers), Gene expression and cancer classification (10 papers), Genomics and Chromatin Dynamics (9 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Business and International Management (34 citations), Virology (71 citations), Genetics (399 citations) and Aging (23 citations). Ivan Merelli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Luciano Milanesi, Daniele D’Agostino, Stefano Beretta, Federica Chiappori, Luigi Naldini, Andrea Calabria, Samuele Ferrari, Luisa Albano, Sandra Gesing and Federica Viti. Their work appears in journals such as BMC Bioinformatics, Blood, Nature Communications, Future Generation Computer Systems and BioMed Research International.
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.