Davide Seruggia
Impact in
Papers in
-
- CRISPR and Genetic Engineering 12
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 4
- Single-cell and spatial transcriptomics 2
- Genetics 7
- Animal Genetics and Reproduction 4
- Co-authors
- Lluı́s Montoliu (10 shared papers)Paweł Pelczar (3 shared papers)Almudena Fernández (5 shared papers)Channabasavaiah B. Gurumurthy (1 shared paper)Gou Takahashi (1 shared paper)Masato Ohtsuka (1 shared paper)Donald W. Harms (1 shared paper)Stuart H. Orkin (9 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature (2 papers)Scientific Reports (1 paper)Gene (1 paper)
- Partner nations
- United StatesSpainAustria
In The Last Decade
Davide Seruggia
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Business and International Management 25
- Aging 18
- Molecular Biology 703
- Immunology 188
- Genetics 180
Countries citing papers authored by Davide Seruggia
This map shows the geographic impact of Davide Seruggia'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 Davide Seruggia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Seruggia more than expected).
Fields of papers citing papers by Davide Seruggia
This network shows the impact of papers produced by Davide Seruggia. 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 Davide Seruggia. The network helps show where Davide Seruggia may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Seruggia, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2014 | 105 | |
| 3 | 2015 | 81 | |
| 4 | 2019 | 74 | |
| 5 | 2014 | 73 | |
| 6 | 2010 | 61 | |
| 7 | 2015 | 54 | |
| 8 | 2010 | 53 | |
| 9 | 2014 | 52 | |
| 10 | 2020 | 40 | |
| 11 | 2014 | 39 | |
| 12 | 2018 | 37 | |
| 13 | 2020 | 31 | |
| 14 | 2019 | 29 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 23 | |
| 17 | 2020 | 18 | |
| 18 | 2010 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2024 | 13 |
About Davide Seruggia
Davide Seruggia is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Cell Biology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Epigenetics and DNA Methylation (6 papers), Animal Genetics and Reproduction (4 papers), Genomics and Chromatin Dynamics (4 papers), Immune Cell Function and Interaction (3 papers), melanin and skin pigmentation (3 papers), Single-cell and spatial transcriptomics (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Business and International Management (25 citations), Aging (18 citations), Molecular Biology (703 citations), Immunology (188 citations) and Genetics (180 citations). Davide Seruggia has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Lluı́s Montoliu, Paweł Pelczar, Almudena Fernández, Channabasavaiah B. Gurumurthy, Gou Takahashi, Masato Ohtsuka, Donald W. Harms, Stuart H. Orkin, Rolen M. Quadros and Giovanni Luca Beretta. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature, Scientific Reports and Gene.
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.