Safiye Çelik
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- 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
- Protein Degradation and Inhibitors 1
-
- Cell Image Analysis Techniques 3
- Co-authors
- Su‐In Lee (8 shared papers)Benjamin A. Logsdon (3 shared papers)C. Anthony Blau (2 shared papers)Jin Dai (1 shared paper)Vivian G. Oehler (2 shared papers)Scott Lundberg (1 shared paper)Pamela S. Becker (2 shared papers)Elihu H. Estey (2 shared papers)
- Journals
- Nature Biomedical Engineering (2 papers)Nature Communications (2 papers)Nature Genetics (1 paper)PLoS Computational Biology (1 paper)Blood (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Safiye Çelik
11 papers receiving 307 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 41
- Biophysics 28
- Health Information Management 19
- Cancer Research 47
- Hematology 34
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 | 192 | |
| 2 | 2023 | 38 | |
| 3 | 2024 | 19 | |
| 4 | 2021 | 13 | |
| 5 | 2016 | 13 | |
| 6 | Efficient Dimensionality Reduction for High-Dimensional Network Estimation | 2014 | 12 |
| 7 | 2023 | 10 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 5 | |
| 10 | 2018 | 3 | |
| 11 | 2024 | 1 |
About Safiye Çelik
Safiye Çelik is a scholar working on Molecular Biology, Biophysics, Computational Theory and Mathematics, Media Technology and Hematology, having authored 11 papers that have together received 316 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Bioinformatics and Genomic Networks (4 papers), Cell Image Analysis Techniques (3 papers), Gene expression and cancer classification (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Computational Drug Discovery Methods (2 papers), RNA modifications and cancer (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Health Informatics (41 citations), Biophysics (28 citations), Health Information Management (19 citations), Cancer Research (47 citations) and Hematology (34 citations). Safiye Çelik has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Su‐In Lee, Benjamin A. Logsdon, C. Anthony Blau, Jin Dai, Vivian G. Oehler, Scott Lundberg, Pamela S. Becker, Elihu H. Estey, Sylvia Chien and Chris P. Miller. Their work appears in journals such as Nature Biomedical Engineering, Nature Communications, Nature Genetics, PLoS Computational Biology and Blood.
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.