Safiye Çelik

751 total citations
11 papers, 316 citations indexed

About

Safiye Çelik is a scholar working on Molecular Biology, Biophysics and Computational Theory and Mathematics. According to data from OpenAlex, Safiye Çelik has authored 11 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Safiye Çelik's work include Single-cell and spatial transcriptomics (5 papers), Bioinformatics and Genomic Networks (4 papers) and Cell Image Analysis Techniques (3 papers). Safiye Çelik is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Bioinformatics and Genomic Networks (4 papers) and Cell Image Analysis Techniques (3 papers). Safiye Çelik collaborates with scholars based in United States, Switzerland and Canada. Safiye Çelik's co-authors include Su‐In Lee, Benjamin A. Logsdon, Scott Lundberg, Elihu H. Estey, Pamela S. Becker, Jin Dai, Vivian G. Oehler, Chris P. Miller, Timothy J. Martins and C. Anthony Blau and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Safiye Çelik

11 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Safiye Çelik United States 8 146 53 47 41 35 11 316
Felipe Giuste United States 11 225 1.5× 94 1.8× 34 0.7× 72 1.8× 20 0.6× 36 519
Lorenz Adlung Germany 8 243 1.7× 58 1.1× 23 0.5× 22 0.5× 25 0.7× 15 455
Ana Cernea Spain 8 82 0.6× 36 0.7× 41 0.9× 27 0.7× 24 0.7× 25 273
Suleiman A. Khan Finland 12 255 1.7× 47 0.9× 50 1.1× 6 0.1× 150 4.3× 24 386
Jasleen Grewal Canada 11 209 1.4× 101 1.9× 98 2.1× 28 0.7× 20 0.6× 19 490
Norio Shinkai Japan 10 124 0.8× 106 2.0× 76 1.6× 58 1.4× 11 0.3× 14 408
Ryan Goosen Switzerland 5 235 1.6× 77 1.5× 157 3.3× 70 1.7× 31 0.9× 5 529
Rudi Agius Denmark 7 171 1.2× 33 0.6× 9 0.2× 14 0.3× 56 1.6× 13 308
Joseph D. Janizek United States 8 453 3.1× 190 3.6× 100 2.1× 99 2.4× 30 0.9× 11 872
Karsten Wendt Germany 8 40 0.3× 96 1.8× 30 0.6× 29 0.7× 4 0.1× 16 267

Countries citing papers authored by Safiye Çelik

Since Specialization
Citations

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

Fields of papers citing papers by Safiye Çelik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Safiye Çelik

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

All Works

11 of 11 papers shown
1.
Çelik, Safiye, et al.. (2024). Building, benchmarking, and exploring perturbative maps of transcriptional and morphological data. PLoS Computational Biology. 20(10). e1012463–e1012463. 5 indexed citations
2.
Lazar, Nathan H., Safiye Çelik, Lu Chen, et al.. (2024). High-resolution genome-wide mapping of chromosome-arm-scale truncations induced by CRISPR–Cas9 editing. Nature Genetics. 56(7). 1482–1493. 19 indexed citations
3.
Kraus, Oren, et al.. (2024). Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology. 11757–11768. 10 indexed citations
4.
Qiu, Wei, Joseph D. Janizek, Safiye Çelik, et al.. (2024). Deep profiling of gene expression across 18 human cancers. Nature Biomedical Engineering. 9(3). 333–355. 1 indexed citations
5.
Janizek, Joseph D., et al.. (2023). PAUSE: principled feature attribution for unsupervised gene expression analysis. Genome biology. 24(1). 81–81. 10 indexed citations
6.
Janizek, Joseph D., Safiye Çelik, Hugh Chen, et al.. (2023). Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models. Nature Biomedical Engineering. 7(6). 811–829. 38 indexed citations
7.
Çelik, Safiye, et al.. (2021). Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies. Nature Communications. 12(1). 5369–5369. 13 indexed citations
8.
Chien, Sylvia, James Annis, Jin Dai, et al.. (2018). High Throughput Drug Screening of Leukemia Stem Cells Reveals Resistance to Standard Therapies and Sensitivity to Other Agents in Acute Myeloid Leukemia. Blood. 132(Supplement 1). 180–180. 3 indexed citations
9.
Lee, Su‐In, Safiye Çelik, Benjamin A. Logsdon, et al.. (2017). A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Nature Communications. 9(1). 42–42. 192 indexed citations
10.
Çelik, Safiye, Benjamin A. Logsdon, Stephanie L. Battle, et al.. (2016). Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer. Genome Medicine. 8(1). 66–66. 13 indexed citations
11.
Çelik, Safiye, Benjamin A. Logsdon, & Su‐In Lee. (2014). Efficient Dimensionality Reduction for High-Dimensional Network Estimation. International Conference on Machine Learning. 1953–1961. 12 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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