Mary B. Kennedy
- Cellular and Molecular Neuroscience top 0.05%
- Molecular Biology top 0.5%
- Cell Biology top 0.2%
- Cognitive Neuroscience top 1%
- Physiology top 2%
- Co-authors
- Hans‐Christian KornauLeslie T. SchenkerMark K. BennettP. H. SeeburgKyung-Ok ChoNgozi EronduHolly J. CarlisleStephen G. Miller
- Topics
- Neuroscience and Neuropharmacology Research (50 papers)Mitochondrial Function and Pathology (19 papers)Protein Kinase Regulation and GTPase Signaling (13 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mary B. Kennedy
95 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cellular and Molecular Neuroscience 8.3k
- Molecular Biology 8.1k
- Cell Biology 2.4k
- Cognitive Neuroscience 1.5k
- Physiology 1.1k
Countries citing papers authored by Mary B. Kennedy
This map shows the geographic impact of Mary B. Kennedy'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 Mary B. Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary B. Kennedy more than expected).
Fields of papers citing papers by Mary B. Kennedy
This network shows the impact of papers produced by Mary B. Kennedy. 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 Mary B. Kennedy. The network helps show where Mary B. Kennedy may publish in the future.
Co-authorship network of co-authors of Mary B. Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of Mary B. Kennedy. A scholar is included among the top collaborators of Mary B. Kennedy 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 Mary B. Kennedy. Mary B. Kennedy 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 | 0 | |
| 3 | 19 | |
| 4 | 4 | |
| 5 | 27 | |
| 6 | 1 | |
| 7 | 144 | |
| 8 | 281 | |
| 9 | 217 | |
| 10 | 98 | |
| 11 | 5 | |
| 12 | 5 | |
| 13 | 493 | |
| 14 | 155 | |
| 15 | 401 | |
| 16 | Domain Interaction Between NMDA Receptor Subunits and the Postsynaptic Density Protein PSD-95breakdown → | 1617 |
| 17 | 119 | |
| 18 | Support for Corporal Punishment in the Schools: A Comparison of the Effects of Socioeconomic Status and Religion. | 44 |
| 19 | 243 | |
| 20 | Type II CaS /calmodulin-dependent kinase phosphorylates tau protein in the region of the mouse repeat | 1 |
About Mary B. Kennedy
Mary B. Kennedy is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cell Biology, having authored 98 papers that have together received 12.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (50 papers), Mitochondrial Function and Pathology (19 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.3k citations), Developmental Neuroscience (905 citations) and Cell Biology (2.4k citations). Mary B. Kennedy has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Hans‐Christian Kornau, Leslie T. Schenker, Mark K. Bennett, P. H. Seeburg, Kyung-Ok Cho, Ngozi Erondu, Holly J. Carlisle, Stephen G. Miller, Asako Oguni and Michelle Apperson. 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.