Martin Both

1.9k citations
49 papers · 1.4k · h-index 20

Impact in

Papers in

Martin Both

48 papers receiving 1.4k citations

Peers

Martin Both
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 890
  • Cognitive Neuroscience 649
  • Sensory Systems 98
  • Biophysics 115
  • Neurology 123
Replace Tanya L. Daigle with:
Tanya L. Daigle United States
Bruce E. McKay Canada
Masanori Murayama Japan
Isabelle Férézou France
Fuyuki Karube Japan
Jon T. Brown United Kingdom
Michael S. Bienkowski United States
Xiaolong Jiang United States
Nathalie L. Rochefort Germany
Ede Rancz United Kingdom
Martin Both relative to Tanya L. Daigle United States Tanya L. Daigle's profile →
Citations per field
00.5×2.9×
Tanya L. Daigle · 1×
Citations per year

Countries citing papers authored by Martin Both

Since Specialization
Citations

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

Fields of papers citing papers by Martin Both

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Both, 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 Martin Both Line = papers co-authored together Martin Both links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009289
2 201197
3 201792
4 201480
5 200480
6 201066
7 201051
8 200350
9 200849
10 200543
11 200943
12 201238
13 200938
14 201637
15 201732
16 201025
17 201321
18 201621
19 201320
20 201420

About Martin Both

Martin Both is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Biophysics and Neurology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Neural dynamics and brain function (24 papers), Photoreceptor and optogenetics research (12 papers), Memory and Neural Mechanisms (11 papers), Neuroscience and Neural Engineering (9 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (890 citations), Cognitive Neuroscience (649 citations), Sensory Systems (98 citations), Biophysics (115 citations) and Neurology (123 citations). Martin Both has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Andreas Draguhn, Florian Bähner, R. Fink, Frederic von Wegner, Oliver Friedrich, Susanne Reichinnek, Adriano B. L. Tort, Nancy Kopell, Peer Wulff and Elke C. Fuchs. Their work appears in journals such as Hippocampus, Frontiers in Neural Circuits, Journal of Neuroscience, Neuroscience 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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