Kaan Öcal
Impact in
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- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- Gene Regulatory Network Analysis 6
- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 1
- Genetics 3
- Evolution and Genetic Dynamics 3
- Co-authors
- Ramon Grima (4 shared papers)Marcel Nonnenmacher (2 shared papers)Jakob H. Macke (2 shared papers)Jan-Matthis Lueckmann (2 shared papers)Giacomo Bassetto (2 shared papers)Pedro J. Gonçalves (2 shared papers)Sara Ann Haddad (1 shared paper)David S. Greenberg (1 shared paper)
- Journals
- Nature Communications (1 paper)iScience (1 paper)Physical Biology (1 paper)The Journal of Chemical Physics (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- United KingdomAustraliaItaly
In The Last Decade
Kaan Öcal
6 papers receiving 204 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 81
- Computational Mathematics 2
- Biophysics 19
- Cellular and Molecular Neuroscience 34
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Kaan Öcal
This map shows the geographic impact of Kaan Öcal'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 Kaan Öcal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaan Öcal more than expected).
Fields of papers citing papers by Kaan Öcal
This network shows the impact of papers produced by Kaan Öcal. 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 Kaan Öcal. The network helps show where Kaan Öcal may publish in the future.
Co-authors
The 20 scholars most cited alongside Kaan Öcal, 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 | 2020 | 120 | |
| 2 | Flexible statistical inference for mechanistic models of neural dynamics | 2017 | 30 |
| 3 | 2022 | 28 | |
| 4 | 2022 | 13 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 5 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About Kaan Öcal
Kaan Öcal is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Ecology and Cognitive Neuroscience, having authored 8 papers that have together received 206 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Single-cell and spatial transcriptomics (4 papers), Evolution and Genetic Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning and Algorithms (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Cognitive Neuroscience (81 citations), Computational Mathematics (2 citations), Biophysics (19 citations), Cellular and Molecular Neuroscience (34 citations) and Statistical and Nonlinear Physics (23 citations). Kaan Öcal has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Ramon Grima, Marcel Nonnenmacher, Jakob H. Macke, Jan-Matthis Lueckmann, Giacomo Bassetto, Pedro J. Gonçalves, Sara Ann Haddad, David S. Greenberg, Michael Deistler and Chaitanya Chintaluri. Their work appears in journals such as Nature Communications, iScience, Physical Biology, The Journal of Chemical Physics and Journal of The Royal Society Interface.
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.