Martin Both

2.0k citations
55 papers · 1.5k · h-index 20

Impact in

Papers in

Martin Both

51 papers receiving 1.5k citations

Peers

Martin Both
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 917
  • Cognitive Neuroscience 670
  • Sensory Systems 105
  • Biophysics 121
  • Neurology 122
Replace Masanori Murayama with:
Masanori Murayama Japan
Isabelle Férézou France
Fuyuki Karube Japan
Adam J. Granger United States
Bruce E. McKay Canada
Balázs Lendvai Hungary
Ede A. Rancz United Kingdom
Cha‐Min Tang United States
Gilberto J Soler-Llavina United States
David Fitzpatrick United States
Martin Both relative to Masanori Murayama Japan Masanori Murayama's profile →
Citations per field
00.5×2×2.9×
Masanori Murayama · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009308
2 2011104
3 201798
4 201488
5 200483
6 201068
7 201051
8 200851
9 200351
10 200547
11 200945
12 200939
13 201238
14 201638
15 201735
16 202132
17 201031
18 201622
19 202221
20 201321

About Martin Both

Martin Both is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Neurology and Endocrine and Autonomic Systems, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (33 papers), Neural dynamics and brain function (25 papers), Memory and Neural Mechanisms (12 papers), Photoreceptor and optogenetics research (12 papers), Neuroscience and Neural Engineering (9 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Force Microscopy Techniques and Applications (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (917 citations), Cognitive Neuroscience (670 citations), Sensory Systems (105 citations), Biophysics (121 citations) and Neurology (122 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, Tatiana M. Korotkova, Nancy Kopell, Alexey A. Ponomarenko and Peer Wulff. Their work appears in journals such as Hippocampus, Journal of Neuroscience, Frontiers in Neural Circuits, Neuroscience and Journal of Cerebral Blood Flow & Metabolism.

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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