Marc Schiavone
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience top 10%
- Pharmacology
- Co-authors
- Carlos M. FerrarioRobson A.S. SantosK. Bridget BrosnihanM. C. KhoslaS. M. KirpekarSubhamoy BhattacharyaSanjoy K. BhattacharyaJ. C. Prat
- Topics
- Neuropeptides and Animal Physiology (6 papers)Renin-Angiotensin System Studies (5 papers)Neuroendocrine regulation and behavior (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Marc Schiavone
19 papers receiving 596 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 376
- Cardiology and Cardiovascular Medicine 296
- Endocrinology, Diabetes and Metabolism 160
- Cellular and Molecular Neuroscience 144
- Pharmacology 54
Countries citing papers authored by Marc Schiavone
This map shows the geographic impact of Marc Schiavone'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 Marc Schiavone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Schiavone more than expected).
Fields of papers citing papers by Marc Schiavone
This network shows the impact of papers produced by Marc Schiavone. 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 Marc Schiavone. The network helps show where Marc Schiavone may publish in the future.
Co-authorship network of co-authors of Marc Schiavone
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Schiavone. A scholar is included among the top collaborators of Marc Schiavone 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 Marc Schiavone. Marc Schiavone 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 | 1 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 41 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 44 | |
| 9 | 58 | |
| 10 | 21 | |
| 11 | 20 | |
| 12 | 31 | |
| 13 | 33 | |
| 14 | 228 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 10 | |
| 18 | 39 | |
| 19 | 29 | |
| 20 | 8 |
About Marc Schiavone
Marc Schiavone is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 20 papers that have together received 608 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Renin-Angiotensin System Studies (5 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (296 citations), Endocrinology, Diabetes and Metabolism (160 citations) and Cellular and Molecular Neuroscience (144 citations). Marc Schiavone has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Carlos M. Ferrario, Robson A.S. Santos, K. Bridget Brosnihan, M. C. Khosla, S. M. Kirpekar, Subhamoy Bhattacharya, Sanjoy K. Bhattacharya, J. C. Prat, Subhra Chakrabarti and Mahesh C. Khosla. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain Research and Hypertension.
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.