Stefano Grasso
Impact in
- Periodontics top 10%
- Oral microbiology and periodontitis research
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- DNA Repair Mechanisms
- Bacterial biofilms and quorum sensing
Papers in
-
- Machine Learning in Bioinformatics 2
- Single-cell and spatial transcriptomics 1
- Genomics and Phylogenetic Studies 1
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Monica Colitti (1 shared paper)Gianluca Tell (1 shared paper)Jan Maarten van Dijl (6 shared papers)Giorgio Gabarrini (1 shared paper)A.J. van Winkelhoff (1 shared paper)Tjeerd van Rij (2 shared papers)Margriet M. W. B. Hendriks (1 shared paper)Sven Panke (1 shared paper)
- Journals
- Virulence (2 papers)Annals of Human Biology (1 paper)Microbiology and Molecular Biology Reviews (1 paper)Acta Biotheoretica (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- NetherlandsItalyGermany
In The Last Decade
Stefano Grasso
10 papers receiving 183 citations
Peers
Comparison fields: 5 of 68
- Periodontics 22
- Molecular Biology 109
- Genetics 42
- Biotechnology 13
- Clinical Biochemistry 10
Countries citing papers authored by Stefano Grasso
This map shows the geographic impact of Stefano Grasso'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 Stefano Grasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Grasso more than expected).
Fields of papers citing papers by Stefano Grasso
This network shows the impact of papers produced by Stefano Grasso. 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 Stefano Grasso. The network helps show where Stefano Grasso may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Grasso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 38 | |
| 2 | 2014 | 34 | |
| 3 | 2023 | 30 | |
| 4 | 2020 | 29 | |
| 5 | 2017 | 21 | |
| 6 | 2020 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2018 | 7 | |
| 9 | 1997 | 4 | |
| 10 | 2021 | 2 | |
| 11 | 2025 | 0 |
About Stefano Grasso
Stefano Grasso is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Physiology and Endocrinology, having authored 11 papers that have together received 184 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Machine Learning in Bioinformatics (2 papers), Antibiotic Resistance in Bacteria (2 papers), Single-cell and spatial transcriptomics (1 paper), Oral and gingival health research (1 paper), Body Composition Measurement Techniques (1 paper), Genomics and Phylogenetic Studies (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Periodontics (22 citations), Molecular Biology (109 citations), Genetics (42 citations), Biotechnology (13 citations) and Clinical Biochemistry (10 citations). Stefano Grasso has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Monica Colitti, Gianluca Tell, Jan Maarten van Dijl, Giorgio Gabarrini, A.J. van Winkelhoff, Tjeerd van Rij, Margriet M. W. B. Hendriks, Sven Panke, René Pellaux and Andreas J. Meyer. Their work appears in journals such as Virulence, Annals of Human Biology, Microbiology and Molecular Biology Reviews, Acta Biotheoretica and Briefings in Bioinformatics.
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.