Michele Pignatelli
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology
- Neurology top 2%
- Social Psychology top 5%
- Co-authors
- Susumu TonegawaTomás J. RyanDheeraj S. RoyJunghyup SuhPei-Ann LinRoger L. RedondoSteve RamirezXu Liu
- Topics
- Memory and Neural Mechanisms (13 papers)Neuroscience and Neuropharmacology Research (12 papers)Neural dynamics and brain function (6 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Michele Pignatelli
21 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cellular and Molecular Neuroscience 2.2k
- Cognitive Neuroscience 2.1k
- Molecular Biology 551
- Neurology 432
- Social Psychology 264
Countries citing papers authored by Michele Pignatelli
This map shows the geographic impact of Michele Pignatelli'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 Michele Pignatelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Pignatelli more than expected).
Fields of papers citing papers by Michele Pignatelli
This network shows the impact of papers produced by Michele Pignatelli. 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 Michele Pignatelli. The network helps show where Michele Pignatelli may publish in the future.
Co-authorship network of co-authors of Michele Pignatelli
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Pignatelli. A scholar is included among the top collaborators of Michele Pignatelli 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 Michele Pignatelli. Michele Pignatelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 54 | |
| 3 | 147 | |
| 4 | 64 | |
| 5 | 246 | |
| 6 | Memory retrieval by activating engram cells in mouse models of early Alzheimer’s diseasebreakdown → | 404 |
| 7 | 245 | |
| 8 | Engram cells retain memory under retrograde amnesiabreakdown → | 447 |
| 9 | 242 | |
| 10 | Creating a False Memory in the Hippocampusbreakdown → | 612 |
| 11 | 363 | |
| 12 | 24 | |
| 13 | 91 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 12 | |
| 18 | 31 | |
| 19 | 8 | |
| 20 | 11 |
About Michele Pignatelli
Michele Pignatelli is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 21 papers that have together received 3.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (13 papers), Neuroscience and Neuropharmacology Research (12 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Cognitive Neuroscience (2.1k citations) and Developmental Neuroscience (217 citations). Michele Pignatelli has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Susumu Tonegawa, Tomás J. Ryan, Dheeraj S. Roy, Junghyup Suh, Pei-Ann Lin, Roger L. Redondo, Steve Ramirez, Xu Liu, Takashi Kitamura and Teryn Mitchell. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.