S. Kachiguine
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Molecular Biology
- Co-authors
- A. M. LitkeW. DąbrowskiAlexander SherPaweł HottowyKeith MathiesonE. J. ChichilniskyA. A. GrilloP. Gryboś
- Topics
- Neural dynamics and brain function (8 papers)Neuroscience and Neural Engineering (8 papers)Photoreceptor and optogenetics research (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- Nature NeuroscienceNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentIEEE Transactions on Nuclear Science
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
S. Kachiguine
10 papers receiving 469 citations
Peers
Comparison fields: 5 of 56
- Cellular and Molecular Neuroscience 397
- Cognitive Neuroscience 303
- Electrical and Electronic Engineering 192
- Biomedical Engineering 80
- Molecular Biology 61
Countries citing papers authored by S. Kachiguine
This map shows the geographic impact of S. Kachiguine'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 S. Kachiguine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kachiguine more than expected).
Fields of papers citing papers by S. Kachiguine
This network shows the impact of papers produced by S. Kachiguine. 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 S. Kachiguine. The network helps show where S. Kachiguine may publish in the future.
Co-authorship network of co-authors of S. Kachiguine
This figure shows the co-authorship network connecting the top 25 collaborators of S. Kachiguine. A scholar is included among the top collaborators of S. Kachiguine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Kachiguine. S. Kachiguine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 52 | |
| 3 | 149 | |
| 4 | 512-electrode MEA System For Spatio-Temporal Distributed Stimulation and Recording of Neural Activity | 6 |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 199 | |
| 8 | 32 | |
| 9 | 24 | |
| 10 | 9 |
About S. Kachiguine
S. Kachiguine is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrochemistry, having authored 10 papers that have together received 487 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (397 citations), Cognitive Neuroscience (303 citations) and Electrical and Electronic Engineering (192 citations). S. Kachiguine has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include A. M. Litke, W. Dąbrowski, Alexander Sher, Paweł Hottowy, Keith Mathieson, E. J. Chichilnisky, A. A. Grillo, P. Gryboś, W. R. Cunningham and N. Bezayiff. Their work appears in journals such as Nature Neuroscience, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Nuclear Science.
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.