Leonardo A. Sechi
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Co-authors
- Cristiana CatenaGianLuca ColussiMorris SchambelanChandi GriffinRoberta LapennaElisa NadaliniMarileda NovelloJudith E. Kalinyak
- Topics
- Hormonal Regulation and Hypertension (38 papers)Blood Pressure and Hypertension Studies (28 papers)Adrenal and Paraganglionic Tumors (13 papers)
- Journals
- JAMAJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Leonardo A. Sechi
126 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Endocrinology, Diabetes and Metabolism 2.8k
- Cardiology and Cardiovascular Medicine 2.0k
- Surgery 1.7k
- Molecular Biology 876
- Physiology 444
Countries citing papers authored by Leonardo A. Sechi
This map shows the geographic impact of Leonardo A. Sechi'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 Leonardo A. Sechi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo A. Sechi more than expected).
Fields of papers citing papers by Leonardo A. Sechi
This network shows the impact of papers produced by Leonardo A. Sechi. 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 Leonardo A. Sechi. The network helps show where Leonardo A. Sechi may publish in the future.
Co-authorship network of co-authors of Leonardo A. Sechi
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo A. Sechi. A scholar is included among the top collaborators of Leonardo A. Sechi 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 Leonardo A. Sechi. Leonardo A. Sechi 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 | 16 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 35 | |
| 11 | 81 | |
| 12 | 6 | |
| 13 | 30 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 81 | |
| 17 | 284 | |
| 18 | 210 | |
| 19 | 80 | |
| 20 | 71 |
About Leonardo A. Sechi
Leonardo A. Sechi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Microbiology, having authored 131 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (38 papers), Blood Pressure and Hypertension Studies (28 papers) and Adrenal and Paraganglionic Tumors (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Cardiology and Cardiovascular Medicine (2.0k citations) and Nephrology (288 citations). Leonardo A. Sechi has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Cristiana Catena, GianLuca Colussi, Morris Schambelan, Chandi Griffin, Roberta Lapenna, Elisa Nadalini, Marileda Novello, Judith E. Kalinyak, Eileen F. Grady and Gilberta Giacchetti. Their work appears in journals such as JAMA, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.