Michael S. Fanselow
- Cognitive Neuroscience top 0.02%
- Cellular and Molecular Neuroscience top 0.01%
- Behavioral Neuroscience top 0.01%
- Social Psychology top 0.05%
- Molecular Biology top 1%
- Co-authors
- Jeansok J. KimHong‐Wei DongStephen MarenStephan AnagnostarasRobert C. BollesGal AharonovMarkus FendtJoseph P. DeCola
- Topics
- Memory and Neural Mechanisms (170 papers)Stress Responses and Cortisol (129 papers)Neuroscience and Neuropharmacology Research (124 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Michael S. Fanselow
304 papers receiving 33.5k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Cognitive Neuroscience 20.0k
- Cellular and Molecular Neuroscience 19.1k
- Behavioral Neuroscience 11.4k
- Social Psychology 7.2k
- Molecular Biology 5.4k
Countries citing papers authored by Michael S. Fanselow
This map shows the geographic impact of Michael S. Fanselow'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 Michael S. Fanselow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Fanselow more than expected).
Fields of papers citing papers by Michael S. Fanselow
This network shows the impact of papers produced by Michael S. Fanselow. 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 Michael S. Fanselow. The network helps show where Michael S. Fanselow may publish in the future.
Co-authorship network of co-authors of Michael S. Fanselow
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Fanselow. A scholar is included among the top collaborators of Michael S. Fanselow 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 Michael S. Fanselow. Michael S. Fanselow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 62 | |
| 7 | 59 | |
| 8 | Dentate Gyrus NMDA Receptors Mediate Rapid Pattern Separation in the Hippocampal Networkbreakdown → | 737 |
| 9 | 61 | |
| 10 | 210 | |
| 11 | 39 | |
| 12 | 107 | |
| 13 | 283 | |
| 14 | 487 | |
| 15 | 38 | |
| 16 | 111 | |
| 17 | 243 | |
| 18 | Map 2 expression in cholinoceptive pyramidal cells of rodent cortex and hippocampus is altered by pavlovian conditioning | 2 |
| 19 | 43 | |
| 20 | Naloxone's enhancement of freezing: Modulation of perceived intensity or memory processes? | 18 |
About Michael S. Fanselow
Michael S. Fanselow is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 306 papers that have together received 34.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (170 papers), Stress Responses and Cortisol (129 papers) and Neuroscience and Neuropharmacology Research (124 papers). The work is most often cited by research in Behavioral Neuroscience (11.4k citations), Cellular and Molecular Neuroscience (19.1k citations) and Cognitive Neuroscience (20.0k citations). Michael S. Fanselow has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jeansok J. Kim, Hong‐Wei Dong, Stephen Maren, Stephan Anagnostaras, Robert C. Bolles, Gal Aharonov, Markus Fendt, Joseph P. DeCola, Greg D. Gale and Joseph E. LeDoux. 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.