Lida Kanari
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Cell Image Analysis Techniques 9
- Advanced Fluorescence Microscopy Techniques 2
-
- Neural dynamics and brain function 6
- Co-authors
- Kathryn Hess (8 shared papers)Henry Markram (9 shared papers)Martina Scolamiero (2 shared papers)Julian C. Shillcock (5 shared papers)Paweł Dłotko (1 shared paper)Ran Levi (1 shared paper)Christiaan P. J. de Kock (2 shared papers)Yair Deitcher (1 shared paper)
- Journals
- Cerebral Cortex (3 papers)iScience (2 papers)Neuroinformatics (2 papers)Nature Communications (1 paper)Physical review. E (1 paper)
- Partner nations
- SwitzerlandUnited StatesIsrael
In The Last Decade
Lida Kanari
16 papers receiving 319 citations
Peers
Comparison fields: 5 of 61
- Biophysics 101
- Neurology 64
- Cognitive Neuroscience 109
- Cellular and Molecular Neuroscience 92
- Computational Theory and Mathematics 52
Countries citing papers authored by Lida Kanari
This map shows the geographic impact of Lida Kanari'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 Lida Kanari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Kanari more than expected).
Fields of papers citing papers by Lida Kanari
This network shows the impact of papers produced by Lida Kanari. 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 Lida Kanari. The network helps show where Lida Kanari may publish in the future.
Co-authors
The 25 scholars most cited alongside Lida Kanari, 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 | 2017 | 99 | |
| 2 | 2017 | 55 | |
| 3 | 2019 | 44 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 36 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 10 | |
| 8 | 2025 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2025 | 5 | |
| 11 | 2016 | 4 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2026 | 0 |
About Lida Kanari
Lida Kanari is a scholar working on Biophysics, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Molecular Biology, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Topological and Geometric Data Analysis (4 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biophysics (101 citations), Neurology (64 citations), Cognitive Neuroscience (109 citations), Cellular and Molecular Neuroscience (92 citations) and Computational Theory and Mathematics (52 citations). Lida Kanari has collaborated with scholars based in Switzerland, United States and Israel. Frequent co-authors include Kathryn Hess, Henry Markram, Martina Scolamiero, Julian C. Shillcock, Paweł Dłotko, Ran Levi, Christiaan P. J. de Kock, Yair Deitcher, Huibert D. Mansvelder and Guy Eyal. Their work appears in journals such as Cerebral Cortex, iScience, Neuroinformatics, Nature Communications and Physical review. E.
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.