Serena Scapecchi
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Oncology top 10%
- Pharmacology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Elisabetta TeodoriSilvia DeiMaría Novella RomanelliF. GualtieriCecilia MartelliDina ManettiFulvio GualtieriCarla Ghelardini
- Topics
- Cholinesterase and Neurodegenerative Diseases (23 papers)Receptor Mechanisms and Signaling (21 papers)Neuroscience and Neuropharmacology Research (19 papers)
In The Last Decade
Serena Scapecchi
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 750
- Organic Chemistry 456
- Oncology 423
- Pharmacology 205
- Cellular and Molecular Neuroscience 195
Countries citing papers authored by Serena Scapecchi
This map shows the geographic impact of Serena Scapecchi'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 Serena Scapecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Scapecchi more than expected).
Fields of papers citing papers by Serena Scapecchi
This network shows the impact of papers produced by Serena Scapecchi. 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 Serena Scapecchi. The network helps show where Serena Scapecchi may publish in the future.
Co-authorship network of co-authors of Serena Scapecchi
This figure shows the co-authorship network connecting the top 25 collaborators of Serena Scapecchi. A scholar is included among the top collaborators of Serena Scapecchi 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 Serena Scapecchi. Serena Scapecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 147 | |
| 9 | Structure-activity relationship studies on the potent multidrug resistance (MDR) modulator 2-(3,4-dimethoxyphenyl)-2-(methylethyl)-5-[(anthr-9-yl)methylamino] pentanenitrile (MM36) | 1 |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 9 | |
| 16 | 30 | |
| 17 | 27 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | 35 |
About Serena Scapecchi
Serena Scapecchi is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (23 papers), Receptor Mechanisms and Signaling (21 papers) and Neuroscience and Neuropharmacology Research (19 papers). The work is most often cited by research in Organic Chemistry (456 citations), Oncology (423 citations) and Pharmacology (205 citations). Serena Scapecchi has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Elisabetta Teodori, Silvia Dei, María Novella Romanelli, F. Gualtieri, Cecilia Martelli, Dina Manetti, Fulvio Gualtieri, Carla Ghelardini, Luca Guandalini and Cristina Bellucci. Their work appears in journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Tetrahedron.
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.