Konstantin Agladze
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 37
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- Neuroscience and Neural Engineering 20
- Photoreceptor and optogenetics research 18
- Condensed Matter Physics top 5%
- Biomedical Engineering top 5%
- Slime Mold and Myxomycetes Research 17
- 3D Printing in Biomedical Research 11
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- Cardiac electrophysiology and arrhythmias 22
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- Tissue Engineering and Regenerative Medicine 10
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- Electrospun Nanofibers in Biomedical Applications 7
Konstantin Agladze
84 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 126
- Computer Networks and Communications 1.4k
- Statistical and Nonlinear Physics 597
- Cellular and Molecular Neuroscience 505
- Condensed Matter Physics 194
- Biomedical Engineering 731
Countries citing papers authored by Konstantin Agladze
This map shows the geographic impact of Konstantin Agladze'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 Konstantin Agladze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantin Agladze more than expected).
Fields of papers citing papers by Konstantin Agladze
This network shows the impact of papers produced by Konstantin Agladze. 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 Konstantin Agladze. The network helps show where Konstantin Agladze may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Konstantin Agladze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 4 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 18 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 5 | |
| 15 | 2017 | 20 | |
| 16 | 2017 | 16 | |
| 17 | 2014 | 8 | |
| 18 | 3-DIMENSIONAL PATTERN-FORMATION IN THE HALOBACTERIUM-HALOBIUM POPULATION IN SEMILIQUID AGAR-CONTAINING NUTRITION MEDIA | 1990 | 2 |
| 19 | VORTICITY WITH TOPOLOGICAL CHARGE 2,3, AND 4 IN AN ACTIVE-CHEMICAL MEDIUM | 1982 | 1 |
| 20 | Vortices with topological charge 2, 3, and 4 in an active chemical medium | 1982 | 1 |
About Konstantin Agladze
Konstantin Agladze is a scholar working on Cellular and Molecular Neuroscience, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (37 papers), Cardiac electrophysiology and arrhythmias (22 papers), Neuroscience and Neural Engineering (20 papers), Photoreceptor and optogenetics research (18 papers), Slime Mold and Myxomycetes Research (17 papers), 3D Printing in Biomedical Research (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Statistical and Nonlinear Physics (597 citations) and Cellular and Molecular Neuroscience (505 citations). Konstantin Agladze has collaborated with scholars based in Russia, Japan and United States. Frequent co-authors include V. I. Krinsky, L. Kuhnert, Kenichi Yoshikawa, P. De Kepper, Nobuyuki Magome, Alexander V. Panfilov, Р. Р. Алиев, Tony Romeo, Arkady M. Pertsov and Tomofumi Yamaguchi. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.