Mikhail E. Matlashov

18 papers receiving 1.1k citations

Peers

Mikhail E. Matlashov
Comparison fields: 5 of 97
  • Biophysics 187
  • Cellular and Molecular Neuroscience 174
  • Molecular Biology 614
  • Biochemistry 60
  • Bioengineering 46
Replace Andrey Yu. Gorokhovatsky with:
Andrey Yu. Gorokhovatsky Russia
Kenta Saito Japan
Voytek Okreglak United States
Carole Gauron France
Brigitte F. Schmidt United States
Gil G. Westmeyer Germany
Fumiaki Obata Japan
Wenjing Wang United States
Alessandro Ustione United States
Yasuyuki Kato‐Yamada Japan
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Citations per field
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Andrey Yu. Gorokhovatsky · 1×
Citations per year

Countries citing papers authored by Mikhail E. Matlashov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail E. Matlashov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail E. Matlashov. 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 Mikhail E. Matlashov. The network helps show where Mikhail E. Matlashov may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2014211
2 2020142
3 2020110
4 2013102
5 201594
6 201885
7 201573
8 201371
9 201546
10 201338
11 202235
12 201521
13 202020
14 201814
15 20256
16 20224
17 20153
18 20232

About Mikhail E. Matlashov

Mikhail E. Matlashov is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biophysics and Ecology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (5 papers), Neuroscience and Neural Engineering (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Redox biology and oxidative stress (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Biophysics (187 citations), Cellular and Molecular Neuroscience (174 citations), Molecular Biology (614 citations), Biochemistry (60 citations) and Bioengineering (46 citations). Mikhail E. Matlashov has collaborated with scholars based in United States, Russia and Finland. Frequent co-authors include Vsevolod V. Belousov, Grigori Enikolopov, Dmitry S. Bilan, Yulia G. Ermakova, Vladislav V. Verkhusha, Natalia M. Mishina, Daria M. Shcherbakova, Anton A. Shemetov, Carsten Schultz and Sergey Lukyanov. Their work appears in journals such as Nature Communications, Biochimica et Biophysica Acta (BBA) - General Subjects, Science Advances, Nature Biotechnology and Neurophotonics.

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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