M Gerli
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Virus-based gene therapy research
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- Muscle Physiology and Disorders
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
Papers in
- Surgery 14
- Tissue Engineering and Regenerative Medicine 13
-
- Muscle Physiology and Disorders 10
- Pluripotent Stem Cells Research 8
- Co-authors
- Francesco Saverio Tedesco (7 shared papers)Sara Benedetti (4 shared papers)Paolo De Coppi (9 shared papers)Sara M. Maffioletti (4 shared papers)Giulio Cossu (5 shared papers)Harald C. Ott (3 shared papers)Martina Ragazzi (3 shared papers)Rossana Tonlorenzi (2 shared papers)
- Journals
- Optica (2 papers)Journal of Visualized Experiments (2 papers)Stem Cell Reports (2 papers)Molecular Therapy (1 paper)Nature Medicine (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
M Gerli
27 papers receiving 607 citations
M Gerli's Hit Papers
Peers
Comparison fields: 5 of 75
- Genetics 94
- Molecular Biology 395
- Surgery 228
- Structural Biology 7
- Biomaterials 63
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 120 | |
| 2 | 2015 | 76 | |
| 3 | 2018 | 74 | |
| 4 | 2018 | 52 | |
| 5 | Clinical applications of human organoids Hit paper breakdown → | 2025 | 49 |
| 6 | 2019 | 34 | |
| 7 | 2014 | 32 | |
| 8 | 2023 | 30 | |
| 9 | 2014 | 26 | |
| 10 | 2021 | 24 | |
| 11 | 2014 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2014 | 2 |
About M Gerli
M Gerli is a scholar working on Surgery, Molecular Biology, Radiation, Biomaterials and Biomedical Engineering, having authored 28 papers that have together received 618 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (13 papers), Muscle Physiology and Disorders (10 papers), Pluripotent Stem Cells Research (8 papers), Advanced X-ray Imaging Techniques (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Medical Imaging Techniques and Applications (4 papers), Mesenchymal stem cell research (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Genetics (94 citations), Molecular Biology (395 citations), Surgery (228 citations), Structural Biology (7 citations) and Biomaterials (63 citations). M Gerli has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Francesco Saverio Tedesco, Sara Benedetti, Paolo De Coppi, Sara M. Maffioletti, Giulio Cossu, Harald C. Ott, Martina Ragazzi, Rossana Tonlorenzi, Jacques P. Guyette and Brian Ghoshhajra. Their work appears in journals such as Optica, Journal of Visualized Experiments, Stem Cell Reports, Molecular Therapy and Nature Medicine.
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.