Bilal Çakır
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Developmental Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Genetics
- Co-authors
- In‐Hyun ParkYangfei XiangYoshiaki TanakaBenjamin PattersonMei ZhongSherman M. WeissmanGareth J. SullivanKun‐Yong Kim
- Topics
- Pluripotent Stem Cells Research (6 papers)Food composition and properties (4 papers)Single-cell and spatial transcriptomics (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular CellPLANT PHYSIOLOGY
- Partner nations
- United StatesJapanIndia
In The Last Decade
Bilal Çakır
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 945
- Biomedical Engineering 404
- Developmental Neuroscience 292
- Cellular and Molecular Neuroscience 266
- Genetics 143
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 of co-authors of Bilal Çakır
This figure shows the co-authorship network connecting the top 25 collaborators of Bilal Çakır. A scholar is included among the top collaborators of Bilal Çakır 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 Bilal Çakır. Bilal Çakır is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 32 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 27 | |
| 6 | 63 | |
| 7 | 27 | |
| 8 | 147 | |
| 9 | hESC-Derived Thalamic Organoids Form Reciprocal Projections When Fused with Cortical Organoidsbreakdown → | 324 |
| 10 | 22 | |
| 11 | 13 | |
| 12 | Fusion of Regionally Specified hPSC-Derived Organoids Models Human Brain Development and Interneuron Migrationbreakdown → | 492 |
| 13 | 50 | |
| 14 | 27 | |
| 15 | 6 | |
| 16 | 55 | |
| 17 | 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) and Single-cell and spatial transcriptomics (4 papers). 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.