Isabelle M. Maisonneuve
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Physiology
- Pharmacology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Stanley D. GlickJames R. ShoblockKaren K. SzumlinskiSydney ArcherOlga TaraschenkoJeffrey CarlsonMark W. FleckMartin E. Kuehne
- Topics
- Neurotransmitter Receptor Influence on Behavior (42 papers)Receptor Mechanisms and Signaling (32 papers)Neuroscience and Neuropharmacology Research (15 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Isabelle M. Maisonneuve
50 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 1.1k
- Physiology 184
- Pharmacology 179
- Cognitive Neuroscience 178
Countries citing papers authored by Isabelle M. Maisonneuve
This map shows the geographic impact of Isabelle M. Maisonneuve'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 Isabelle M. Maisonneuve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle M. Maisonneuve more than expected).
Fields of papers citing papers by Isabelle M. Maisonneuve
This network shows the impact of papers produced by Isabelle M. Maisonneuve. 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 Isabelle M. Maisonneuve. The network helps show where Isabelle M. Maisonneuve may publish in the future.
Co-authorship network of co-authors of Isabelle M. Maisonneuve
This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle M. Maisonneuve. A scholar is included among the top collaborators of Isabelle M. Maisonneuve 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 Isabelle M. Maisonneuve. Isabelle M. Maisonneuve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 22 | |
| 3 | 34 | |
| 4 | 20 | |
| 5 | 24 | |
| 6 | 26 | |
| 7 | 91 | |
| 8 | 77 | |
| 9 | 57 | |
| 10 | New medications for drug abuse | 18 |
| 11 | 19 | |
| 12 | 11 | |
| 13 | 22 | |
| 14 | 53 | |
| 15 | 41 | |
| 16 | 73 | |
| 17 | 18 | |
| 18 | 15 | |
| 19 | 196 | |
| 20 | 14 |
About Isabelle M. Maisonneuve
Isabelle M. Maisonneuve is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Pharmacology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (42 papers), Receptor Mechanisms and Signaling (32 papers) and Neuroscience and Neuropharmacology Research (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Pharmacology (140 citations) and Molecular Biology (1.1k citations). Isabelle M. Maisonneuve has collaborated with scholars based in United States and Canada. Frequent co-authors include Stanley D. Glick, James R. Shoblock, Karen K. Szumlinski, Sydney Archer, Olga Taraschenko, Jeffrey Carlson, Mark W. Fleck, Martin E. Kuehne, Thomas P. Jerussi and Sandra M. Pearl. Their work appears in journals such as Brain Research, Annals of the New York Academy of Sciences and Psychopharmacology.
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.