Marietta Piattoni-Kaplan
- Molecular Biology top 10%
- Pharmacology top 5%
- Organic Chemistry top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- Diana L. Donnelly‐RobertsStephen P. ArnerićJames P. SullivanDavid J. AndersonMurali GopalakrishnanMichael DeckerMark W. HolladayJeffrey E. Campbell
- Topics
- Nicotinic Acetylcholine Receptors Study (9 papers)Cholinesterase and Neurodegenerative Diseases (6 papers)Synthesis and Biological Evaluation (3 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsEuropean Journal of Pharmacology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Marietta Piattoni-Kaplan
9 papers receiving 753 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 715
- Pharmacology 232
- Organic Chemistry 178
- Cellular and Molecular Neuroscience 153
- Physiology 67
Countries citing papers authored by Marietta Piattoni-Kaplan
This map shows the geographic impact of Marietta Piattoni-Kaplan'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 Marietta Piattoni-Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marietta Piattoni-Kaplan more than expected).
Fields of papers citing papers by Marietta Piattoni-Kaplan
This network shows the impact of papers produced by Marietta Piattoni-Kaplan. 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 Marietta Piattoni-Kaplan. The network helps show where Marietta Piattoni-Kaplan may publish in the future.
Co-authorship network of co-authors of Marietta Piattoni-Kaplan
This figure shows the co-authorship network connecting the top 25 collaborators of Marietta Piattoni-Kaplan. A scholar is included among the top collaborators of Marietta Piattoni-Kaplan 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 Marietta Piattoni-Kaplan. Marietta Piattoni-Kaplan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 111 | |
| 3 | 1 | |
| 4 | 70 | |
| 5 | 26 | |
| 6 | 155 | |
| 7 | 121 | |
| 8 | 72 | |
| 9 | 148 |
About Marietta Piattoni-Kaplan
Marietta Piattoni-Kaplan is a scholar working on Pharmacology, Toxicology and Organic Chemistry, having authored 9 papers that have together received 783 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (9 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Pharmacology (232 citations), Molecular Biology (715 citations) and Cellular and Molecular Neuroscience (153 citations). Marietta Piattoni-Kaplan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Diana L. Donnelly‐Roberts, Stephen P. Arnerić, James P. Sullivan, David J. Anderson, Murali Gopalakrishnan, Michael Decker, Mark W. Holladay, Jeffrey E. Campbell, Jorge D. Brioni and Eduardo Molinari. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.
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.