Matthew Frerking

2.7k citations
29 papers · 2.2k indexed · h-index 22
Topics
Neuroscience and Neuropharmacology Research (26 papers)Neural dynamics and brain function (12 papers)Photoreceptor and optogenetics research (10 papers)

In The Last Decade

Matthew Frerking

29 papers receiving 2.2k citations

Peers

Matthew Frerking
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 1.9k
  • Molecular Biology 1.1k
  • Cognitive Neuroscience 870
  • Developmental Neuroscience 207
  • Neurology 201
Replace Stephen M. Fitzjohn with:
Stephen M. Fitzjohn United Kingdom
Ana V. Paternain Spain
Valérie Crépel France
Kenneth R. Tovar United States
Michaela Barbarosie Canada
Robert C. Malenka United States
Claudia Racca United Kingdom
Thomas Behnisch China
Andrés Barría United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Frerking

Since Specialization
Citations

This map shows the geographic impact of Matthew Frerking'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 Frerking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Frerking more than expected).

Fields of papers citing papers by Matthew Frerking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Frerking. 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 Frerking. The network helps show where Matthew Frerking may publish in the future.

Co-authorship network of co-authors of Matthew Frerking

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Frerking. A scholar is included among the top collaborators of Matthew Frerking 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 Frerking. Matthew Frerking is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 13
3 5
4 24
5 30
6 27
7 168
8 8
9 26
10 79
11 91
12 174
13 146
14 104
15 2
16 253
17 13
18 35
19 92
20 176

About Matthew Frerking

Matthew Frerking is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (26 papers), Neural dynamics and brain function (12 papers) and Photoreceptor and optogenetics research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Developmental Neuroscience (207 citations) and Cognitive Neuroscience (870 citations). Matthew Frerking has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Roger A. Nicoll, Robert C. Malenka, Martin Wilson, Dietmar Schmitz, Qiang Zhou, Salvador Borges, Yunlei Yang, Christian Lüscher, Carl C.H. Petersen and Jack R. Mellor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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