Samuela Cataldi
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
- Spaceflight effects on biology
- Erythrocyte Function and Pathophysiology
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- Cancer, Lipids, and Metabolism
Papers in
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- Sphingolipid Metabolism and Signaling 18
- Lipid Membrane Structure and Behavior 11
- Physiology 16
- Spaceflight effects on biology 7
- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Elisabetta Albi (59 shared papers)Tommaso Beccari (37 shared papers)Michela Codini (32 shared papers)Francesco Curcio (27 shared papers)Andrea Lazzarini (21 shared papers)Francesco Saverio Ambesi‐Impiombato (20 shared papers)Maria Rachele Ceccarini (23 shared papers)Mariapia Viola Magni (5 shared papers)
In The Last Decade
Samuela Cataldi
69 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Physiology 259
- Cancer Research 103
- Biological Psychiatry 16
- Molecular Biology 474
- Aging 11
Countries citing papers authored by Samuela Cataldi
This map shows the geographic impact of Samuela Cataldi'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 Samuela Cataldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuela Cataldi more than expected).
Fields of papers citing papers by Samuela Cataldi
This network shows the impact of papers produced by Samuela Cataldi. 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 Samuela Cataldi. The network helps show where Samuela Cataldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuela Cataldi, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 81 | |
| 2 | 2018 | 44 | |
| 3 | 2011 | 40 | |
| 4 | 2016 | 37 | |
| 5 | 2003 | 37 | |
| 6 | 2005 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2013 | 30 | |
| 9 | 2015 | 30 | |
| 10 | 2003 | 26 | |
| 11 | 2019 | 26 | |
| 12 | 2008 | 26 | |
| 13 | 2016 | 26 | |
| 14 | 2017 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2015 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2010 | 22 | |
| 19 | 2005 | 21 | |
| 20 | 1972 | 20 |
About Samuela Cataldi
Samuela Cataldi is a scholar working on Molecular Biology, Physiology, Cell Biology, Cancer Research and Pathology and Forensic Medicine, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (18 papers), Lipid Membrane Structure and Behavior (11 papers), Spaceflight effects on biology (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Cancer, Lipids, and Metabolism (5 papers), High Altitude and Hypoxia (4 papers), Vitamin D Research Studies (4 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Physiology (259 citations), Cancer Research (103 citations), Biological Psychiatry (16 citations), Molecular Biology (474 citations) and Aging (11 citations). Samuela Cataldi has collaborated with scholars based in Italy, France and Japan. Frequent co-authors include Elisabetta Albi, Tommaso Beccari, Michela Codini, Francesco Curcio, Andrea Lazzarini, Francesco Saverio Ambesi‐Impiombato, Maria Rachele Ceccarini, Mariapia Viola Magni, Remo Lazzarini and A. Floridi. Their work appears in journals such as International Journal of Molecular Sciences, BioMed Research International, Journal of Cellular Physiology, Archives of Biochemistry and Biophysics and PLoS ONE.
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.