Kimberly Nixon
- Cellular and Molecular Neuroscience top 1%
- Neurology top 0.2%
- Developmental Neuroscience top 0.2%
- Molecular Biology
- Cognitive Neuroscience top 2%
- Co-authors
- Fulton T. CrewsJustin A. McClainS. Alex MarshallStephanie A. MorrisMatthew L. KelsoDaniel J. LiputDayna M. HayesJin He
- Topics
- Neurogenesis and neuroplasticity mechanisms (40 papers)Neuroinflammation and Neurodegeneration Mechanisms (38 papers)Neuroscience and Neuropharmacology Research (18 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Kimberly Nixon
71 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 1.7k
- Neurology 1.6k
- Developmental Neuroscience 1.3k
- Molecular Biology 677
- Cognitive Neuroscience 672
Countries citing papers authored by Kimberly Nixon
This map shows the geographic impact of Kimberly Nixon'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 Kimberly Nixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Nixon more than expected).
Fields of papers citing papers by Kimberly Nixon
This network shows the impact of papers produced by Kimberly Nixon. 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 Kimberly Nixon. The network helps show where Kimberly Nixon may publish in the future.
Co-authorship network of co-authors of Kimberly Nixon
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Nixon. A scholar is included among the top collaborators of Kimberly Nixon 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 Kimberly Nixon. Kimberly Nixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | 35 | |
| 10 | Effects of the nicotinic agonist varenicline, nicotinic antagonist r-bPiDI, and DAT inhibitor R-modafinil on co-use of ethanol and nicotine in female P rats. | 1 |
| 11 | 10 | |
| 12 | 70 | |
| 13 | 25 | |
| 14 | 159 | |
| 15 | 66 | |
| 16 | 72 | |
| 17 | 98 | |
| 18 | 115 | |
| 19 | 35 | |
| 20 | 395 |
About Kimberly Nixon
Kimberly Nixon is a scholar working on Developmental Neuroscience, Biological Psychiatry and Neurology, having authored 77 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (40 papers), Neuroinflammation and Neurodegeneration Mechanisms (38 papers) and Neuroscience and Neuropharmacology Research (18 papers). The work is most often cited by research in Developmental Neuroscience (1.3k citations), Biological Psychiatry (562 citations) and Neurology (1.6k citations). Kimberly Nixon has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Fulton T. Crews, Justin A. McClain, S. Alex Marshall, Stephanie A. Morris, Matthew L. Kelso, Daniel J. Liput, Dayna M. Hayes, Jin He, Hui Peng and James R. Pauly. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and The Journal of Comparative Neurology.
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.