Mauro Cataldi
Impact in
-
- Regulation of Appetite and Obesity
-
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
Papers in
-
- Ion channel regulation and function 17
-
- Neuroscience and Neuropharmacology Research 22
- Co-authors
- Lucio Annunziato (25 shared papers)Maurizio Taglialatela (13 shared papers)Bruna Guida (23 shared papers)Gianfranco Di Renzo (15 shared papers)Massimo Avoli (4 shared papers)Etienne de Villers‐Sidani (1 shared paper)Domênico Capone (5 shared papers)E Magnan (14 shared papers)
In The Last Decade
Mauro Cataldi
112 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 133
- Endocrine and Autonomic Systems 245
- Endocrinology, Diabetes and Metabolism 542
- Physiology 778
- Cellular and Molecular Neuroscience 521
- Nephrology 179
Countries citing papers authored by Mauro Cataldi
This map shows the geographic impact of Mauro 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 Mauro Cataldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Cataldi more than expected).
Fields of papers citing papers by Mauro Cataldi
This network shows the impact of papers produced by Mauro 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 Mauro Cataldi. The network helps show where Mauro Cataldi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mauro 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 261 | |
| 2 | 2017 | 209 | |
| 3 | 2013 | 143 | |
| 4 | 1994 | 134 | |
| 5 | 1997 | 133 | |
| 6 | 2014 | 131 | |
| 7 | 2002 | 93 | |
| 8 | 1996 | 84 | |
| 9 | 2013 | 75 | |
| 10 | 2008 | 67 | |
| 11 | 1999 | 65 | |
| 12 | 2016 | 60 | |
| 13 | 2010 | 59 | |
| 14 | 2019 | 54 | |
| 15 | 2015 | 49 | |
| 16 | 2014 | 42 | |
| 17 | 2019 | 41 | |
| 18 | 2007 | 39 | |
| 19 | 2008 | 38 | |
| 20 | 2005 | 38 |
About Mauro Cataldi
Mauro Cataldi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Physiology and Nephrology, having authored 114 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Ion channel regulation and function (17 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Nutrition and Health in Aging (8 papers), Dialysis and Renal Disease Management (8 papers), Pituitary Gland Disorders and Treatments (6 papers), Diet and metabolism studies (6 papers) and Thyroid Disorders and Treatments (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (245 citations), Endocrinology, Diabetes and Metabolism (542 citations), Physiology (778 citations), Cellular and Molecular Neuroscience (521 citations) and Nephrology (179 citations). Mauro Cataldi has collaborated with scholars based in Italy, France and Canada. Frequent co-authors include Lucio Annunziato, Maurizio Taglialatela, Bruna Guida, Gianfranco Di Renzo, Massimo Avoli, Etienne de Villers‐Sidani, Domênico Capone, E Magnan, Agnese Secondo and Salvatore Amoroso. Their work appears in journals such as Endocrinology, Nutrition Metabolism and Cardiovascular Diseases, European Journal of Pharmacology, International Journal of Molecular Sciences and Journal of Pharmacology and Experimental Therapeutics.
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.