Merve Çakır

26 total papers · 7.7k total citations
9 papers, 338 citations indexed

About

Merve Çakır is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Merve Çakır has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Merve Çakır's work include CRISPR and Genetic Engineering (2 papers), Protein Degradation and Inhibitors (2 papers) and Computational Drug Discovery Methods (2 papers). Merve Çakır is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Protein Degradation and Inhibitors (2 papers) and Computational Drug Discovery Methods (2 papers). Merve Çakır collaborates with scholars based in United States and Türkiye. Merve Çakır's co-authors include Kris C. Wood, Grace R. Anderson, Suzanne E. Wardell, Donald P. McDonnell, Ryan S. Soderquist, Christina Chao, Lucie Ahn, Lorin Crawford, Peter Winter and Nevan J. Krogan and has published in prestigious journals such as Nature Communications, Scientific Reports and Science Advances.

In The Last Decade

Merve Çakır

9 papers receiving 335 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Merve Çakır	243	81	66	34	34	9	338
Jose Roques	264 1.1×	108 1.3×	41 0.6×	17 0.5×	42 1.2×	13	394
Danica Wiredja	294 1.2×	65 0.8×	45 0.7×	20 0.6×	18 0.5×	12	379
Wojciech Senkowski	182 0.7×	95 1.2×	75 1.1×	22 0.6×	16 0.5×	14	329
Sudharshan Ravi	167 0.7×	111 1.4×	78 1.2×	41 1.2×	47 1.4×	10	358
Katharine Yu	179 0.7×	72 0.9×	78 1.2×	13 0.4×	13 0.4×	11	293
Basira Najafzadeh	175 0.7×	117 1.4×	80 1.2×	19 0.6×	39 1.1×	11	335
Angelo Limeta	317 1.3×	83 1.0×	49 0.7×	23 0.7×	22 0.6×	9	402
Dorothy J. Donnelly	280 1.2×	99 1.2×	60 0.9×	11 0.3×	14 0.4×	13	389
Di-Wei Zheng	227 0.9×	108 1.3×	43 0.7×	10 0.3×	15 0.4×	12	334
Sourya Bhattacharya	218 0.9×	90 1.1×	80 1.2×	11 0.3×	10 0.3×	10	352

Countries citing papers authored by Merve Çakır

Since Specialization

Citations

This map shows the geographic impact of Merve 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 Merve Çakır with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merve Çakır more than expected).

Fields of papers citing papers by Merve Çakır

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Merve 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 Merve Çakır. The network helps show where Merve Çakır may publish in the future.

Co-authorship network of co-authors of Merve Çakır

This figure shows the co-authorship network connecting the top 25 collaborators of Merve Çakır. A scholar is included among the top collaborators of Merve 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 Merve Çakır. Merve Çakır is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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