Bilal Çakır

1.9k total citations · 2 hit papers
17 papers, 1.3k citations indexed

About

Bilal Çakır is a scholar working on Molecular Biology, Nutrition and Dietetics and Biotechnology. According to data from OpenAlex, Bilal Çakır has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Nutrition and Dietetics and 4 papers in Biotechnology. Recurrent topics in Bilal Çakır's work include Pluripotent Stem Cells Research (6 papers), Food composition and properties (4 papers) and Single-cell and spatial transcriptomics (4 papers). Bilal Çakır is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Food composition and properties (4 papers) and Single-cell and spatial transcriptomics (4 papers). Bilal Çakır collaborates with scholars based in United States, Japan and India. Bilal Çakır's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cell and PLANT PHYSIOLOGY.

In The Last Decade

Bilal Çakır

17 papers receiving 1.3k citations

Hit Papers

Fusion of Regionally Specified hPSC-Derived Organoids Mod... 2017 2026 2020 2023 2017 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bilal Çakır United States 13 945 404 292 266 143 17 1.3k
Miwa Kawasaki Japan 13 774 0.8× 262 0.6× 104 0.4× 511 1.9× 97 0.7× 18 1.4k
Daniel Fuentes United States 7 1.6k 1.7× 160 0.4× 355 1.2× 381 1.4× 196 1.4× 7 1.8k
Se‐Jin Yoon South Korea 18 989 1.0× 218 0.5× 194 0.7× 187 0.7× 156 1.1× 27 1.4k
Nadja Zeltner United States 15 830 0.9× 165 0.4× 132 0.5× 275 1.0× 214 1.5× 28 1.2k
Bruna Paulsen Brazil 9 823 0.9× 283 0.7× 221 0.8× 207 0.8× 95 0.7× 15 1.1k
Hanseul Park South Korea 13 595 0.6× 129 0.3× 117 0.4× 145 0.5× 107 0.7× 29 887
Christine Arnold United States 14 632 0.7× 74 0.2× 173 0.6× 297 1.1× 80 0.6× 17 1.3k
Yaroslav Tsytsyura Germany 12 701 0.7× 152 0.4× 115 0.4× 319 1.2× 46 0.3× 20 1.0k
Luis A. Williams United States 16 1.6k 1.7× 150 0.4× 101 0.3× 467 1.8× 91 0.6× 20 2.4k
Kun‐Yong Kim United States 15 812 0.9× 178 0.4× 144 0.5× 171 0.6× 247 1.7× 20 1.0k

Countries citing papers authored by Bilal Çakır

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
1.
Ösken, Altuğ, et al.. (2024). Systemic immune inflammation index and its implication on in-stent restenosis among patients with acute coronary syndrome. Coronary Artery Disease. 35(3). 209–214. 2 indexed citations
2.
Kiral, Ferdi Rıdvan, Bilal Çakır, Yoshiaki Tanaka, et al.. (2023). Generation of ventralized human thalamic organoids with thalamic reticular nucleus. Cell stem cell. 30(5). 677–688.e5. 32 indexed citations
3.
Çakır, Bilal, Yue Hu, Ferdi Rıdvan Kiral, et al.. (2022). Dyslexia associated gene KIAA0319 regulates cell cycle during human neuroepithelial cell development. Frontiers in Cell and Developmental Biology. 10. 967147–967147. 8 indexed citations
4.
Pay, Levent, et al.. (2021). Atrial fibrillation-related acute myocardial infarction and acute mesenteric ischemia. SHILAP Revista de lepidopterología. 49(5). 410–413. 2 indexed citations
5.
Xiang, Yangfei, Bilal Çakır, & In‐Hyun Park. (2020). Generation of Regionally Specified Human Brain Organoids Resembling Thalamus Development. STAR Protocols. 1(1). 100001–100001. 27 indexed citations
6.
Xiang, Yangfei, Yoshiaki Tanaka, Benjamin Patterson, et al.. (2020). Dysregulation of BRD4 Function Underlies the Functional Abnormalities of MeCP2 Mutant Neurons. Molecular Cell. 79(1). 84–98.e9. 63 indexed citations
7.
Xiang, Yangfei, Bilal Çakır, & In‐Hyun Park. (2020). Deconstructing and reconstructing the human brain with regionally specified brain organoids. Seminars in Cell and Developmental Biology. 111. 40–51. 27 indexed citations
8.
Tanaka, Yoshiaki, Bilal Çakır, Yangfei Xiang, Gareth J. Sullivan, & In‐Hyun Park. (2020). Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain. Cell Reports. 30(6). 1682–1689.e3. 147 indexed citations
9.
Xiang, Yangfei, Yoshiaki Tanaka, Bilal Çakır, et al.. (2019). hESC-Derived Thalamic Organoids Form Reciprocal Projections When Fused with Cortical Organoids. Cell stem cell. 24(3). 487–497.e7. 324 indexed citations breakdown →
10.
Xiang, Yangfei, Yoshiaki Tanaka, Benjamin Patterson, et al.. (2018). Generation and Fusion of Human Cortical and Medial Ganglionic Eminence Brain Organoids. Current Protocols in Stem Cell Biology. 47(1). 22 indexed citations
11.
Çakır, Bilal, Li Tian, Naoko Crofts, et al.. (2018). Re‐programming of gene expression in the CS8 rice line over‐expressing ADPglucose pyrophosphorylase induces a suppressor of starch biosynthesis. The Plant Journal. 97(6). 1073–1088. 13 indexed citations
12.
Xiang, Yangfei, Yoshiaki Tanaka, Benjamin Patterson, et al.. (2017). Fusion of Regionally Specified hPSC-Derived Organoids Models Human Brain Development and Interneuron Migration. Cell stem cell. 21(3). 383–398.e7. 492 indexed citations breakdown →
13.
Çakır, Bilal, Aytug Tuncel, Hiroaki Matsusaka, et al.. (2016). Analysis of the rice ADPglucose transporter (OsBT1) indicates the presence of regulatory processes in the amyloplast stroma that control ADPglucose flux into starch. PLANT PHYSIOLOGY. 170(3). pp.01911.2015–pp.01911.2015. 50 indexed citations
14.
Hwang, Seon‐Kap, Salvinder Singh, Bilal Çakır, Hikaru Satoh, & Thomas W. Okita. (2016). The plastidial starch phosphorylase from rice endosperm: catalytic properties at low temperature. Planta. 243(4). 999–1009. 27 indexed citations
15.
Çakır, Bilal, et al.. (2015). Substrate binding properties of potato tuber ADP‐glucose pyrophosphorylase as determined by isothermal titration calorimetry. FEBS Letters. 589(13). 1444–1449. 6 indexed citations
16.
Tuncel, Aytug, Hiroaki Matsusaka, Aiko Nishi, et al.. (2014). The Rice Endosperm ADP-Glucose Pyrophosphorylase Large Subunit is Essential for Optimal Catalysis and Allosteric Regulation of the Heterotetrameric Enzyme. Plant and Cell Physiology. 55(6). 1169–1183. 55 indexed citations
17.
Tuncel, Aytug, Bilal Çakır, Seon‐Kap Hwang, & Thomas W. Okita. (2014). The role of the large subunit in redox regulation of the rice endosperm ADP‐glucose pyrophosphorylase. FEBS Journal. 281(21). 4951–4963. 18 indexed citations

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.

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