Michelle Day
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Neurology top 1%
- Cognitive Neuroscience top 2%
- Neurology top 5%
- Co-authors
- D. James SurmeierZhongfeng WangJun DingWeixing ShenJoshua L. PlotkinTatiana TkatchJayms D. PetersonPaul Greengard
- Topics
- Neuroscience and Neuropharmacology Research (15 papers)Radiation Dose and Imaging (9 papers)Advanced Radiotherapy Techniques (8 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Michelle Day
48 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cellular and Molecular Neuroscience 3.0k
- Molecular Biology 1.9k
- Neurology 1.1k
- Cognitive Neuroscience 1.0k
- Neurology 255
Countries citing papers authored by Michelle Day
This map shows the geographic impact of Michelle Day'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 Michelle Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Day more than expected).
Fields of papers citing papers by Michelle Day
This network shows the impact of papers produced by Michelle Day. 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 Michelle Day. The network helps show where Michelle Day may publish in the future.
Co-authorship network of co-authors of Michelle Day
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Day. A scholar is included among the top collaborators of Michelle Day 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 Michelle Day. Michelle Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 150 | |
| 4 | 111 | |
| 5 | 76 | |
| 6 | 141 | |
| 7 | 181 | |
| 8 | A Translational Profiling Approach for the Molecular Characterization of CNS Cell Typesbreakdown → | 870 |
| 9 | D1 and D2 dopamine-receptor modulation of striatal glutamatergic signaling in striatal medium spiny neuronsbreakdown → | 861 |
| 10 | 212 | |
| 11 | 400 | |
| 12 | Selective elimination of glutamatergic synapses on striatopallidal neurons in Parkinson disease modelsbreakdown → | 586 |
| 13 | 134 | |
| 14 | 45 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | HIGH-DOSE MEASUREMENT BY OPTICAL ABSORPTION | 1 |
About Michelle Day
Michelle Day is a scholar working on Radiation, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Radiation Dose and Imaging (9 papers) and Advanced Radiotherapy Techniques (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.0k citations), Neurology (1.1k citations) and Cognitive Neuroscience (1.0k citations). Michelle Day has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include D. James Surmeier, Zhongfeng Wang, Jun Ding, Weixing Shen, Joshua L. Plotkin, Tatiana Tkatch, Jayms D. Peterson, Paul Greengard, David L. Wokosin and Nathaniel Heintz. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.