M Gerli
Impact in
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- CRISPR and Genetic Engineering
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- Virus-based gene therapy research
Papers in
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- Advanced X-ray Imaging Techniques 6
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- Pluripotent Stem Cells Research 12
- Muscle Physiology and Disorders 10
- Single-cell and spatial transcriptomics 1
- Co-authors
- Francesco Saverio Tedesco (7 shared papers)Paolo De Coppi (9 shared papers)Sara Benedetti (4 shared papers)Sara Martina Maffioletti (4 shared papers)Harald C. Ott (3 shared papers)Giulio Cossu (5 shared papers)Martina Ragazzi (3 shared papers)Brian Burns Ghoshhajra (1 shared paper)
- Journals
- Science Translational Medicine (2 papers)Optica (2 papers)Journal of Visualized Experiments (2 papers)Nature Medicine (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- United KingdomItalyBelgium
In The Last Decade
M Gerli
30 papers receiving 1.2k citations
M Gerli's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 780
- Genetics 58
- Radiation 41
- Aging 7
- Surgery 153
Countries citing papers authored by M Gerli
This map shows the geographic impact of M Gerli'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 M Gerli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Gerli more than expected).
Fields of papers citing papers by M Gerli
This network shows the impact of papers produced by M Gerli. 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 M Gerli. The network helps show where M Gerli may publish in the future.
Co-authors
The 25 scholars most cited alongside M Gerli, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 239 | |
| 2 | 2011 | 135 | |
| 3 | Clinical applications of human organoids Hit paper breakdown → | 2025 | 112 |
| 4 | 2019 | 109 | |
| 5 | 2015 | 88 | |
| 6 | 2018 | 83 | |
| 7 | 2018 | 76 | |
| 8 | 2018 | 56 | |
| 9 | 2019 | 43 | |
| 10 | 2023 | 39 | |
| 11 | 2024 | 36 | |
| 12 | 2014 | 35 | |
| 13 | 2014 | 29 | |
| 14 | 2021 | 25 | |
| 15 | 2014 | 19 | |
| 16 | 2019 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2022 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2023 | 14 |
About M Gerli
M Gerli is a scholar working on Radiation, Molecular Biology, Surgery, Genetics and Oncology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Muscle Physiology and Disorders (10 papers), Advanced X-ray Imaging Techniques (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Cancer Cells and Metastasis (3 papers), 3D Printing in Biomedical Research (2 papers), Mesenchymal stem cell research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Molecular Biology (780 citations), Genetics (58 citations), Radiation (41 citations), Aging (7 citations) and Surgery (153 citations). M Gerli has collaborated with scholars based in United Kingdom, Italy and Belgium. Frequent co-authors include Francesco Saverio Tedesco, Paolo De Coppi, Sara Benedetti, Sara Martina Maffioletti, Harald C. Ott, Giulio Cossu, Martina Ragazzi, Brian Burns Ghoshhajra, Jacques P. Guyette and Rossana Tonlorenzi. Their work appears in journals such as Science Translational Medicine, Optica, Journal of Visualized Experiments, Nature Medicine and Stem Cell Reports.
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.