Melissa K. McCoy
- Molecular Biology top 10%
- Neurology top 0.5%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Co-authors
- Malú G. TanseyMark CooksonTamy C. Frank-CannonKelly A. RuhnTerina N. MartinezB. R. BottermanKeith E. TanseyDavid E. Szymkowski
- Topics
- Parkinson's Disease Mechanisms and Treatments (8 papers)Nerve injury and regeneration (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)
- Cited by
- NeurologyBiological Psychiatry
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Melissa K. McCoy
22 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.0k
- Neurology 958
- Neurology 852
- Cellular and Molecular Neuroscience 731
- Physiology 483
Countries citing papers authored by Melissa K. McCoy
This map shows the geographic impact of Melissa K. McCoy'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 Melissa K. McCoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa K. McCoy more than expected).
Fields of papers citing papers by Melissa K. McCoy
This network shows the impact of papers produced by Melissa K. McCoy. 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 Melissa K. McCoy. The network helps show where Melissa K. McCoy may publish in the future.
Co-authorship network of co-authors of Melissa K. McCoy
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa K. McCoy. A scholar is included among the top collaborators of Melissa K. McCoy 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 Melissa K. McCoy. Melissa K. McCoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 35 | |
| 6 | 72 | |
| 7 | 113 | |
| 8 | 135 | |
| 9 | 79 | |
| 10 | 371 | |
| 11 | 57 | |
| 12 | 77 | |
| 13 | 99 | |
| 14 | TNF signaling inhibition in the CNS: implications for normal brain function and neurodegenerative diseasebreakdown → | 669 |
| 15 | 77 | |
| 16 | 80 | |
| 17 | 467 | |
| 18 | 301 | |
| 19 | 5 | |
| 20 | 27 |
About Melissa K. McCoy
Melissa K. McCoy is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 2.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Nerve injury and regeneration (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Neurology (958 citations), Biological Psychiatry (158 citations) and Neurology (852 citations). Melissa K. McCoy has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Malú G. Tansey, Mark Cookson, Tamy C. Frank-Cannon, Kelly A. Ruhn, Terina N. Martinez, B. R. Botterman, Keith E. Tansey, David E. Szymkowski, Marcel van der Brug and Alexandra Beilina. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and Scientific Reports.
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.