Rosanne Catalano
- Physiology top 2%
- Alzheimer's disease research and treatments 9
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- Nuclear Receptors and Signaling 3
- Neuropeptides and Animal Physiology 2
- Neurology top 5%
- Pharmacology top 5%
- Pharmacology top 5%
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- Prion Diseases and Protein Misfolding 3
- S100 Proteins and Annexins 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
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- Computational Drug Discovery Methods 2
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- Synthesis of Tetrazole Derivatives 1
- Co-authors
- Barbara CordellDiana QuonKeiji MurakamiLinda S. HigginsJason D. FreshwaterScott A. WaldmanAndrew A. ProtterBrian T. Scott
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Rosanne Catalano
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Physiology 836
- Cellular and Molecular Neuroscience 328
- Neurology 140
- Pharmacology 174
- Pharmacology 82
Countries citing papers authored by Rosanne Catalano
This map shows the geographic impact of Rosanne Catalano'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 Rosanne Catalano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosanne Catalano more than expected).
Fields of papers citing papers by Rosanne Catalano
This network shows the impact of papers produced by Rosanne Catalano. 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 Rosanne Catalano. The network helps show where Rosanne Catalano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rosanne Catalano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 13 | |
| 2 | 2003 | 320 | |
| 3 | 2002 | 35 | |
| 4 | 2001 | 9 | |
| 5 | 1996 | 28 | |
| 6 | P3 beta-amyloid peptide has a unique and potentially pathogenic immunohistochemical profile in Alzheimer's disease brain. | 1996 | 52 |
| 7 | 1995 | 69 | |
| 8 | 1994 | 58 | |
| 9 | 1993 | 42 | |
| 10 | 1991 | 302 | |
| 11 | 1990 | 48 | |
| 12 | 1988 | 24 | |
| 13 | 1988 | 153 |
About Rosanne Catalano
Rosanne Catalano is a scholar working on Physiology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Prion Diseases and Protein Misfolding (3 papers), Nuclear Receptors and Signaling (3 papers), Computational Drug Discovery Methods (2 papers), Neuropeptides and Animal Physiology (2 papers), S100 Proteins and Annexins (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Synthesis of Tetrazole Derivatives (1 paper). The work is most often cited by research in Physiology (836 citations), Cellular and Molecular Neuroscience (328 citations) and Neurology (140 citations). Rosanne Catalano has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Barbara Cordell, Diana Quon, Keiji Murakami, Linda S. Higgins, Jason D. Freshwater, Scott A. Waldman, Andrew A. Protter, Brian T. Scott, Ferid Murad and Nigel A. Calcutt. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.