Margaret E. Gnegy
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 0.5%
- Cell Biology top 5%
- Physiology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Lana KantorKevin WangKim McGinnisGuy HewlettBipasha GuptaroyMinjia ZhangP UzunovCheryse A. Furman
- Topics
- Receptor Mechanisms and Signaling (55 papers)Neurotransmitter Receptor Influence on Behavior (53 papers)Neuroscience and Neuropharmacology Research (48 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesNorwayDenmark
In The Last Decade
Margaret E. Gnegy
109 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.4k
- Cellular and Molecular Neuroscience 2.3k
- Cell Biology 436
- Physiology 268
- Cognitive Neuroscience 200
Countries citing papers authored by Margaret E. Gnegy
This map shows the geographic impact of Margaret E. Gnegy'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 Margaret E. Gnegy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret E. Gnegy more than expected).
Fields of papers citing papers by Margaret E. Gnegy
This network shows the impact of papers produced by Margaret E. Gnegy. 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 Margaret E. Gnegy. The network helps show where Margaret E. Gnegy may publish in the future.
Co-authorship network of co-authors of Margaret E. Gnegy
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret E. Gnegy. A scholar is included among the top collaborators of Margaret E. Gnegy 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 Margaret E. Gnegy. Margaret E. Gnegy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 12 | |
| 3 | 9 | |
| 4 | 108 | |
| 5 | 16 | |
| 6 | 30 | |
| 7 | 82 | |
| 8 | 204 | |
| 9 | 8 | |
| 10 | 49 | |
| 11 | 69 | |
| 12 | 161 | |
| 13 | 76 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 29 | |
| 17 | 14 | |
| 18 | 73 | |
| 19 | 20 | |
| 20 | A neurobiological role for a protein activator of cyclic nucleotide phosphodiesterase. | 10 |
About Margaret E. Gnegy
Margaret E. Gnegy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 111 papers that have together received 3.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (55 papers), Neurotransmitter Receptor Influence on Behavior (53 papers) and Neuroscience and Neuropharmacology Research (48 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Molecular Biology (2.4k citations) and Biological Psychiatry (71 citations). Margaret E. Gnegy has collaborated with scholars based in United States, Norway and Denmark. Frequent co-authors include Lana Kantor, Kevin Wang, Kim McGinnis, Guy Hewlett, Bipasha Guptaroy, Minjia Zhang, P Uzunov, Cheryse A. Furman, Neeta Mukerjee and Aurelio Galli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.