Davide Seruggia
Impact in
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 13
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 2
- Genetics 7
- Animal Genetics and Reproduction 4
- Co-authors
- Lluı́s Montoliu (11 shared papers)Paweł Pelczar (3 shared papers)Almudena Fernández (5 shared papers)Stuart H. Orkin (9 shared papers)Gou Takahashi (1 shared paper)Donald W. Harms (1 shared paper)Channabasavaiah B. Gurumurthy (1 shared paper)Masato Ohtsuka (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (3 papers)Nature (2 papers)Molecular Cell (1 paper)Transgenic Research (1 paper)
- Partner nations
- United StatesSpainAustria
In The Last Decade
Davide Seruggia
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Aging 21
- Business and International Management 25
- Molecular Biology 702
- Immunology 184
- Genetics 176
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 157 | |
| 2 | 2014 | 108 | |
| 3 | 2015 | 88 | |
| 4 | 2014 | 74 | |
| 5 | 2019 | 74 | |
| 6 | 2010 | 64 | |
| 7 | 2015 | 58 | |
| 8 | 2010 | 56 | |
| 9 | 2014 | 54 | |
| 10 | 2020 | 41 | |
| 11 | 2018 | 39 | |
| 12 | 2014 | 39 | |
| 13 | 2020 | 34 | |
| 14 | 2019 | 30 | |
| 15 | 2022 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2020 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2024 | 17 | |
| 20 | 2021 | 16 |
About Davide Seruggia
Davide Seruggia is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Cell Biology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Epigenetics and DNA Methylation (5 papers), Animal Genetics and Reproduction (4 papers), Genomics and Chromatin Dynamics (4 papers), melanin and skin pigmentation (3 papers), Immune Cell Function and Interaction (3 papers), Pluripotent Stem Cells Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Aging (21 citations), Business and International Management (25 citations), Molecular Biology (702 citations), Immunology (184 citations) and Genetics (176 citations). Davide Seruggia has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Lluı́s Montoliu, Paweł Pelczar, Almudena Fernández, Stuart H. Orkin, Gou Takahashi, Donald W. Harms, Channabasavaiah B. Gurumurthy, Masato Ohtsuka, Rolen M. Quadros and Giovanni Luca Beretta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Nature, Molecular Cell and Transgenic Research.
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.