Laura A. DeNardo
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Social Psychology top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Liqun LuoWilliam E. AllenCindy D. LiuDominic S. BernsDrew FriedmannMarc Tessier‐LavigneEliza L. AdamsCasey J. Guenthner
- Topics
- Memory and Neural Mechanisms (13 papers)Neuroscience and Neuropharmacology Research (11 papers)Neural dynamics and brain function (7 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Laura A. DeNardo
26 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 701
- Cognitive Neuroscience 653
- Molecular Biology 379
- Social Psychology 250
- Endocrine and Autonomic Systems 196
Countries citing papers authored by Laura A. DeNardo
This map shows the geographic impact of Laura A. DeNardo'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 Laura A. DeNardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura A. DeNardo more than expected).
Fields of papers citing papers by Laura A. DeNardo
This network shows the impact of papers produced by Laura A. DeNardo. 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 Laura A. DeNardo. The network helps show where Laura A. DeNardo may publish in the future.
Co-authorship network of co-authors of Laura A. DeNardo
This figure shows the co-authorship network connecting the top 25 collaborators of Laura A. DeNardo. A scholar is included among the top collaborators of Laura A. DeNardo 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 Laura A. DeNardo. Laura A. DeNardo 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 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 30 | |
| 8 | 29 | |
| 9 | 92 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 57 | |
| 13 | 1 | |
| 14 | Temporal evolution of cortical ensembles promoting remote memory retrievalbreakdown → | 336 |
| 15 | 110 | |
| 16 | 244 | |
| 17 | 100 | |
| 18 | 49 | |
| 19 | 52 | |
| 20 | 34 |
About Laura A. DeNardo
Laura A. DeNardo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (701 citations), Behavioral Neuroscience (135 citations) and Cognitive Neuroscience (653 citations). Laura A. DeNardo has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Liqun Luo, William E. Allen, Cindy D. Liu, Dominic S. Berns, Drew Friedmann, Marc Tessier‐Lavigne, Eliza L. Adams, Casey J. Guenthner, Benita Jin and Katherine E. DeLoach. Their work appears in journals such as Nature, Science and Cell.
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.