Bilal Çakır
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 3
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- Photoreceptor and optogenetics research 1
- Molecular Biology top 10%
- Pluripotent Stem Cells Research 6
- Single-cell and spatial transcriptomics 4
- Aging top 10%
- Biomedical Engineering top 10%
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- Food composition and properties 4
- Microbial Metabolites in Food Biotechnology 3
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- Enzyme Production and Characterization 4
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- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- In‐Hyun ParkYangfei XiangYoshiaki TanakaBenjamin PattersonMei ZhongSherman M. WeissmanGareth J. SullivanKun‐Yong Kim
- Journals
- SHILAP Revista de lepidopterología (1 paper)Molecular Cell (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Bilal Çakır
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 292
- Cellular and Molecular Neuroscience 266
- Molecular Biology 945
- Aging 19
- Biomedical Engineering 404
Countries citing papers authored by Bilal Çakır
This map shows the geographic impact of Bilal Çakır'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 Bilal Çakır with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilal Çakır more than expected).
Fields of papers citing papers by Bilal Çakır
This network shows the impact of papers produced by Bilal Çakır. 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 Bilal Çakır. The network helps show where Bilal Çakır may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bilal Çakır, 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 | 2024 | 2 | |
| 2 | 2023 | 32 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 27 | |
| 6 | 2020 | 63 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 147 | |
| 9 | hESC-Derived Thalamic Organoids Form Reciprocal Projections When Fused with Cortical Organoidsbreakdown → | 2019 | 324 |
| 10 | 2018 | 22 | |
| 11 | 2018 | 13 | |
| 12 | Fusion of Regionally Specified hPSC-Derived Organoids Models Human Brain Development and Interneuron Migrationbreakdown → | 2017 | 492 |
| 13 | 2016 | 50 | |
| 14 | 2016 | 27 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 55 | |
| 17 | 2014 | 18 |
About Bilal Çakır
Bilal Çakır is a scholar working on Developmental Neuroscience, Biotechnology and Nutrition and Dietetics, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Food composition and properties (4 papers), Single-cell and spatial transcriptomics (4 papers), Enzyme Production and Characterization (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Developmental Neuroscience (292 citations), Cellular and Molecular Neuroscience (266 citations) and Molecular Biology (945 citations). Bilal Çakır has collaborated with scholars based in United States, Japan and India. Frequent co-authors include In‐Hyun Park, Yangfei Xiang, Yoshiaki Tanaka, Benjamin Patterson, Mei Zhong, Sherman M. Weissman, Gareth J. Sullivan, Kun‐Yong Kim, Sang-Hun Lee and Young‐Jin Kang. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Cell and PLANT PHYSIOLOGY.
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.