Caterina Conte
- Physiology top 2%
- Neurology top 1%
- Clinical Psychology top 2%
- Molecular Biology
- Epidemiology top 5%
- Co-authors
- Patrizia Rovere‐QueriniRebecca De LorenzoSamuel KleinFabio CiceriFrancesco BenedettiMario Gennaro MazzaBruce W. PattersonRoberto Furlan
- Topics
- Long-Term Effects of COVID-19 (13 papers)Diet and metabolism studies (12 papers)COVID-19 Clinical Research Studies (11 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Caterina Conte
66 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Physiology 1.1k
- Neurology 921
- Clinical Psychology 802
- Molecular Biology 686
- Epidemiology 657
Countries citing papers authored by Caterina Conte
This map shows the geographic impact of Caterina Conte'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 Caterina Conte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caterina Conte more than expected).
Fields of papers citing papers by Caterina Conte
This network shows the impact of papers produced by Caterina Conte. 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 Caterina Conte. The network helps show where Caterina Conte may publish in the future.
Co-authorship network of co-authors of Caterina Conte
This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Conte. A scholar is included among the top collaborators of Caterina Conte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caterina Conte. Caterina Conte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Oxidative Stress and Cardiovascular Complications in Type 2 Diabetes: From Pathophysiology to Lifestyle Modificationsbreakdown → | 40 |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Is Weight Loss–Induced Muscle Mass Loss Clinically Relevant?breakdown → | 96 |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 31 | |
| 14 | 62 | |
| 15 | Anxiety and depression in COVID-19 survivors: Role of inflammatory and clinical predictorsbreakdown → | 1122 |
| 16 | 15 | |
| 17 | 58 | |
| 18 | 55 | |
| 19 | 3 | |
| 20 | 321 |
About Caterina Conte
Caterina Conte is a scholar working on Transplantation, Physiology and Neurology, having authored 73 papers that have together received 3.9k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (13 papers), Diet and metabolism studies (12 papers) and COVID-19 Clinical Research Studies (11 papers). The work is most often cited by research in Biological Psychiatry (176 citations), Geriatrics and Gerontology (239 citations) and Neurology (921 citations). Caterina Conte has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Patrizia Rovere‐Querini, Rebecca De Lorenzo, Samuel Klein, Fabio Ciceri, Francesco Benedetti, Mario Gennaro Mazza, Bruce W. Patterson, Roberto Furlan, Benedetta Vai and Elisa Melloni. Their work appears in journals such as JAMA, Journal of Clinical Investigation and Gastroenterology.
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.