Safiye Çelik
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Single-cell and spatial transcriptomics 5
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Advanced biosensing and bioanalysis techniques 2
- RNA modifications and cancer 2
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- Cell Image Analysis Techniques 3
- Co-authors
- Su‐In Lee (8 shared papers)Benjamin A. Logsdon (3 shared papers)Sylvia Chien (2 shared papers)Elihu H. Estey (2 shared papers)C. Anthony Blau (2 shared papers)Chris P. Miller (1 shared paper)Scott Lundberg (1 shared paper)Vivian G. Oehler (2 shared papers)
- Journals
- Nature Communications (2 papers)Nature Biomedical Engineering (2 papers)Blood (1 paper)Nature Genetics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesSwitzerlandTürkiye
In The Last Decade
Safiye Çelik
12 papers receiving 359 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 49
- Health Information Management 29
- Biophysics 29
- Hematology 32
- Cancer Research 40
Countries citing papers authored by Safiye Çelik
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
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-authors
The 25 scholars most cited alongside Safiye Çelik, 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 | 2017 | 222 | |
| 2 | 2023 | 45 | |
| 3 | 2024 | 22 | |
| 4 | 2016 | 14 | |
| 5 | 2021 | 14 | |
| 6 | Efficient Dimensionality Reduction for High-Dimensional Network Estimation | 2014 | 14 |
| 7 | 2023 | 13 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 3 |
About Safiye Çelik
Safiye Çelik is a scholar working on Molecular Biology, Biophysics, Computational Theory and Mathematics, Media Technology and Hematology, having authored 12 papers that have together received 374 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Cell Image Analysis Techniques (3 papers), Computational Drug Discovery Methods (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA modifications and cancer (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Health Informatics (49 citations), Health Information Management (29 citations), Biophysics (29 citations), Hematology (32 citations) and Cancer Research (40 citations). Safiye Çelik has collaborated with scholars based in United States, Switzerland and Türkiye. Frequent co-authors include Su‐In Lee, Benjamin A. Logsdon, Sylvia Chien, Elihu H. Estey, C. Anthony Blau, Chris P. Miller, Scott Lundberg, Vivian G. Oehler, Pamela S. Becker and Timothy J. Martins. Their work appears in journals such as Nature Communications, Nature Biomedical Engineering, Blood, Nature Genetics and PLoS Computational Biology.
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.