Matthew P. Parsons
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Endocrine and Autonomic Systems top 2%
- Physiology top 10%
- Co-authors
- Lynn A. RaymondGilbert J. KirouacSa LiMichiru HirasawaMichael R. HaydenAmber L. SouthwellFiroozeh NafarRujun Kang
- Topics
- Neuroscience and Neuropharmacology Research (18 papers)Genetic Neurodegenerative Diseases (13 papers)Mitochondrial Function and Pathology (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- CanadaUnited StatesRussia
In The Last Decade
Matthew P. Parsons
33 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 686
- Cognitive Neuroscience 577
- Endocrine and Autonomic Systems 419
- Physiology 254
Countries citing papers authored by Matthew P. Parsons
This map shows the geographic impact of Matthew P. Parsons'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 Matthew P. Parsons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew P. Parsons more than expected).
Fields of papers citing papers by Matthew P. Parsons
This network shows the impact of papers produced by Matthew P. Parsons. 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 Matthew P. Parsons. The network helps show where Matthew P. Parsons may publish in the future.
Co-authorship network of co-authors of Matthew P. Parsons
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Parsons. A scholar is included among the top collaborators of Matthew P. Parsons 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 Matthew P. Parsons. Matthew P. Parsons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 21 | |
| 5 | 19 | |
| 6 | 57 | |
| 7 | 13 | |
| 8 | 66 | |
| 9 | 15 | |
| 10 | 44 | |
| 11 | 22 | |
| 12 | 79 | |
| 13 | 76 | |
| 14 | 26 | |
| 15 | Extrasynaptic NMDA Receptor Involvement in Central Nervous System Disordersbreakdown → | 409 |
| 16 | 13 | |
| 17 | 8 | |
| 18 | 63 | |
| 19 | 75 | |
| 20 | 129 |
About Matthew P. Parsons
Matthew P. Parsons is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Genetic Neurodegenerative Diseases (13 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (419 citations), Cellular and Molecular Neuroscience (1.0k citations) and Cognitive Neuroscience (577 citations). Matthew P. Parsons has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Lynn A. Raymond, Gilbert J. Kirouac, Sa Li, Michiru Hirasawa, Michael R. Hayden, Amber L. Southwell, Firoozeh Nafar, Rujun Kang, Timothy H. Murphy and Matthieu P. Vanni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.