Davide Castaldi
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in ⓘ
-
- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 3
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Co-authors
- Daniela Mari (7 shared papers)Giovanni Vitale (5 shared papers)Giulia Ogliari (5 shared papers)Daniela Monti (3 shared papers)Claudio Franceschi (3 shared papers)Davide Gentilini (3 shared papers)Anna Maria Di Blasio (2 shared papers)Laura Bucci (2 shared papers)
- Journals
- Nature Methods (2 papers)Trends in Molecular Medicine (1 paper)Aging (1 paper)Molecular Psychiatry (1 paper)European Journal of Obstetrics & Gynecology and Reproductive Biology (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Davide Castaldi
13 papers receiving 410 citations
Peers
Comparison fields: 5 of 79
- Aging 98
- Internal Medicine 18
- Physiology 97
- Pediatrics, Perinatology and Child Health 63
- Endocrinology, Diabetes and Metabolism 51
Countries citing papers authored by Davide Castaldi
This map shows the geographic impact of Davide Castaldi'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 Castaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Castaldi more than expected).
Fields of papers citing papers by Davide Castaldi
This network shows the impact of papers produced by Davide Castaldi. 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 Castaldi. The network helps show where Davide Castaldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Castaldi, 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 | 2012 | 152 | |
| 2 | 2012 | 65 | |
| 3 | 2008 | 54 | |
| 4 | 2012 | 42 | |
| 5 | 2012 | 40 | |
| 6 | 2011 | 18 | |
| 7 | 2014 | 17 | |
| 8 | 2009 | 14 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2021 | 4 | |
| 12 | 2013 | 4 | |
| 13 | [Preliminary considerations on blood lipid parameters and blood insulin after oral glucose tolerance test]. | 1986 | 1 |
| 14 | 2025 | 0 |
About Davide Castaldi
Davide Castaldi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Genetics and Aging, having authored 14 papers that have together received 427 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cell Image Analysis Techniques (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Diet and metabolism studies (2 papers) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Aging (98 citations), Internal Medicine (18 citations), Physiology (97 citations), Pediatrics, Perinatology and Child Health (63 citations) and Endocrinology, Diabetes and Metabolism (51 citations). Davide Castaldi has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Daniela Mari, Giovanni Vitale, Giulia Ogliari, Daniela Monti, Claudio Franceschi, Davide Gentilini, Anna Maria Di Blasio, Laura Bucci, Francesco Cavagnini and Silvia Maria Sirchia. Their work appears in journals such as Nature Methods, Trends in Molecular Medicine, Aging, Molecular Psychiatry and European Journal of Obstetrics & Gynecology and Reproductive Biology.
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.