Veronica Catanese
- Public Health, Environmental and Occupational Health top 2%
- General Health Professions top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Economics and Econometrics top 5%
- Co-authors
- Louis M. SherwoodMyron GenelAdrian S. DobsHugh H. TilsonDavid L. RimoinPatricia SalberDavid A. ScheinbergWilliam F. Crowley
- Topics
- Growth Hormone and Insulin-like Growth Factors (8 papers)Metabolism, Diabetes, and Cancer (4 papers)Innovations in Medical Education (3 papers)
- Cited by
- Public Health, Environmental and Occupational HealthEndocrinology, Diabetes and MetabolismGeneral Health Professions
- Partner nations
- United StatesBelgiumAustralia
In The Last Decade
Veronica Catanese
15 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Public Health, Environmental and Occupational Health 631
- General Health Professions 415
- Molecular Biology 292
- Endocrinology, Diabetes and Metabolism 284
- Economics and Econometrics 266
Countries citing papers authored by Veronica Catanese
This map shows the geographic impact of Veronica Catanese'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 Veronica Catanese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Catanese more than expected).
Fields of papers citing papers by Veronica Catanese
This network shows the impact of papers produced by Veronica Catanese. 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 Veronica Catanese. The network helps show where Veronica Catanese may publish in the future.
Co-authorship network of co-authors of Veronica Catanese
This figure shows the co-authorship network connecting the top 25 collaborators of Veronica Catanese. A scholar is included among the top collaborators of Veronica Catanese 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 Veronica Catanese. Veronica Catanese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 80 | |
| 5 | 18 | |
| 6 | Central Challenges Facing the National Clinical Research Enterprisebreakdown → | 875 |
| 7 | 16 | |
| 8 | 12 | |
| 9 | 125 | |
| 10 | 125 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 86 | |
| 14 | 31 | |
| 15 | 147 |
About Veronica Catanese
Veronica Catanese is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Safety Research, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Metabolism, Diabetes, and Cancer (4 papers) and Innovations in Medical Education (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (631 citations), Endocrinology, Diabetes and Metabolism (284 citations) and General Health Professions (415 citations). Veronica Catanese has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Louis M. Sherwood, Myron Genel, Adrian S. Dobs, Hugh H. Tilson, David L. Rimoin, Patricia Salber, David A. Scheinberg, William F. Crowley, Jack A. Grebb and E. Albert Reece. Their work appears in journals such as JAMA, Circulation and The Journal of Clinical Endocrinology & Metabolism.
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.