Kay-Michael Voit

485 citations
13 papers · 245 · h-index 8

Impact in

Papers in

Kay-Michael Voit

13 papers receiving 234 citations

Peers

Kay-Michael Voit
Comparison fields: 5 of 65
  • Biophysics 65
  • Acoustics and Ultrasonics 6
  • Cellular and Molecular Neuroscience 77
  • Cognitive Neuroscience 69
  • Structural Biology 4
Replace Ching-Lung Hsu with:
Ching-Lung Hsu United States
Ming Fan China
Lapo Turrini Italy
Paul A. Kirkby United Kingdom
Máté Veress Hungary
Jason Manley United States
Changyang Linghu United States
Cheng-Hsun Wu Taiwan
Oscar Hernandez United States
Ruth R. Sims France
Kay-Michael Voit relative to Ching-Lung Hsu United States Ching-Lung Hsu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kay-Michael Voit

Since Specialization
Citations

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

Fields of papers citing papers by Kay-Michael Voit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay-Michael Voit. 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 Kay-Michael Voit. The network helps show where Kay-Michael Voit may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202083
2 202251
3 202135
4 201521
5 202215
6 20169
7 20229
8 20138
9 20127
10 20143
11 20252
12 20151
13 20091

About Kay-Michael Voit

Kay-Michael Voit is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Surfaces, Coatings and Films, having authored 13 papers that have together received 245 indexed citations. Recurring topics across this work include Photorefractive and Nonlinear Optics (6 papers), Photonic and Optical Devices (5 papers), Neural dynamics and brain function (3 papers), Optical Coatings and Gratings (3 papers), Photoreceptor and optogenetics research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Advanced Fiber Laser Technologies (2 papers) and Laser-Matter Interactions and Applications (1 paper). The work is most often cited by research in Biophysics (65 citations), Acoustics and Ultrasonics (6 citations), Cellular and Molecular Neuroscience (77 citations), Cognitive Neuroscience (69 citations) and Structural Biology (4 citations). Kay-Michael Voit has collaborated with scholars based in Germany, Hungary and Ukraine. Frequent co-authors include Damian J. Wallace, Jason N. D. Kerr, J Sawiński, M. Imlau, Verena Pawlak, Yvonne Groemping, P. St. J. Russell, Michael H. Frosz, Richard Zeltner and Giacomo Bassetto. Their work appears in journals such as Nature Methods, Nature Communications, Current Biology, Physical Review B and Journal of the Optical Society of America A.

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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