Matthew P. Parsons

2.4k citations
35 papers · 1.8k indexed · 1 hit paper · h-index 21

Matthew P. Parsons

33 papers receiving 1.8k citations

Hit Papers

Extrasynaptic NMDA Receptor Involvement in Central Nervou...4092014202620182022100200300400

Peers

Matthew P. Parsons
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 419
  • Cellular and Molecular Neuroscience 1.0k
  • Cognitive Neuroscience 577
  • Biological Psychiatry 72
  • Neurology 149
Replace Billy T. Chen with:
Billy T. Chen United States
James P. Herman United States
Corrado Corti Italy
Jordi Bonaventura United States
Mayumi Miyatake Japan
Adam W. Bero United States
Giuseppe Gangarossa France
Yonatan M. Kupchik United States
Kristi A. Kohlmeier Denmark
Carlos A. Paladini United States
Matthew P. Parsons relative to Billy T. Chen United States Billy T. Chen's profile →
Citations per field
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Billy T. Chen · 1×
Citations per year

Countries citing papers authored by Matthew P. Parsons

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Matthew P. Parsons, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew P. Parsons Line = papers co-authored together Matthew P. Parsons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202311
4 202121
5 202119
6 202157
7 202013
8 202066
9 201915
10 201844
11 201622
12 201679
13 201676
14 201526
15
Extrasynaptic NMDA Receptor Involvement in Central Nervous System Disordersbreakdown →
2014409
16 201213
17 20128
18 200663
19 200675
20 2005129

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), Mitochondrial Function and Pathology (11 papers), Sleep and Wakefulness Research (10 papers), Regulation of Appetite and Obesity (10 papers), Ion channel regulation and function (6 papers), Circadian rhythm and melatonin (4 papers) and Neural dynamics and brain function (3 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.

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