Marco Grillo
Impact in
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- Single-cell and spatial transcriptomics
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- Retinal Development and Disorders
Papers in
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- Single-cell and spatial transcriptomics 6
- Developmental Biology and Gene Regulation 3
- Ubiquitin and proteasome pathways 2
- Molecular Biology Techniques and Applications 2
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Michalis Averof (3 shared papers)Maximilian J. Telford (2 shared papers)Jordi Casanova (2 shared papers)Ana Talamillo (2 shared papers)Marc Furriols (2 shared papers)Leiore Ajuria (2 shared papers)Ugo Mayor (2 shared papers)Νικόλαος Κωνσταντινίδης (1 shared paper)
In The Last Decade
Marco Grillo
20 papers receiving 342 citations
Marco Grillo's Hit Papers
Peers
Comparison fields: 5 of 58
- Aging 7
- Molecular Biology 207
- Ophthalmology 22
- Neurology 37
- Biophysics 15
Countries citing papers authored by Marco Grillo
This map shows the geographic impact of Marco Grillo'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 Grillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Grillo more than expected).
Fields of papers citing papers by Marco Grillo
This network shows the impact of papers produced by Marco Grillo. 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 Grillo. The network helps show where Marco Grillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Grillo, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2020 | 45 | |
| 3 | Optimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflows Hit paper breakdown → | 2025 | 41 |
| 4 | 2020 | 35 | |
| 5 | 2012 | 32 | |
| 6 | 2021 | 26 | |
| 7 | 2016 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2012 | 15 | |
| 10 | 2024 | 15 | |
| 11 | 2025 | 11 | |
| 12 | 2010 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2010 | 6 | |
| 15 | 2025 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Marco Grillo
Marco Grillo is a scholar working on Molecular Biology, Cancer Research, Ophthalmology, Biophysics and Plant Science, having authored 21 papers that have together received 349 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cell Image Analysis Techniques (3 papers), Developmental Biology and Gene Regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Molecular Biology Techniques and Applications (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (7 citations), Molecular Biology (207 citations), Ophthalmology (22 citations), Neurology (37 citations) and Biophysics (15 citations). Marco Grillo has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Michalis Averof, Maximilian J. Telford, Jordi Casanova, Ana Talamillo, Marc Furriols, Leiore Ajuria, Ugo Mayor, Νικόλαος Κωνσταντινίδης, Rosa Barrio and Xavier Franch‐Marro. Their work appears in journals such as Development, Molecular Cell, Neuro-Oncology, Trends in Genetics and Parkinsonism & Related Disorders.
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.