Deniz Saltukoglu
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
Papers in
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- Cell Image Analysis Techniques 1
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- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Matias Simons (2 shared papers)Julian Grünewald (2 shared papers)Gerd Walz (1 shared paper)Tobias F. Hermle (1 shared paper)Michael G. Reth (3 shared papers)Xiong Pi (1 shared paper)Jianying Yang (1 shared paper)Zhuoyi Liang (1 shared paper)
- Journals
- Nature Methods (1 paper)Molecular Biology of the Cell (1 paper)Life Science Alliance (1 paper)Nature (1 paper)Current Biology (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Deniz Saltukoglu
6 papers receiving 1.6k citations
Deniz Saltukoglu's Hit Papers
Peers
Comparison fields: 5 of 145
- Biophysics 429
- Structural Biology 39
- Media Technology 187
- Computer Vision and Pattern Recognition 308
- Health Informatics 19
Countries citing papers authored by Deniz Saltukoglu
This map shows the geographic impact of Deniz Saltukoglu'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 Deniz Saltukoglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deniz Saltukoglu more than expected).
Fields of papers citing papers by Deniz Saltukoglu
This network shows the impact of papers produced by Deniz Saltukoglu. 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 Deniz Saltukoglu. The network helps show where Deniz Saltukoglu may publish in the future.
Co-authors
The 24 scholars most cited alongside Deniz Saltukoglu, 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 | U-Net: deep learning for cell counting, detection, and morphometry Hit paper breakdown → | 2018 | 1422 |
| 2 | 2010 | 101 | |
| 3 | 2022 | 51 | |
| 4 | 2023 | 22 | |
| 5 | 2015 | 17 | |
| 6 | 2020 | 14 |
About Deniz Saltukoglu
Deniz Saltukoglu is a scholar working on Biophysics, Immunology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Cell Image Analysis Techniques (1 paper), Digital Imaging for Blood Diseases (1 paper), Diabetes and associated disorders (1 paper), Neuroscience and Neural Engineering (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Mechanisms of cancer metastasis (1 paper). The work is most often cited by research in Biophysics (429 citations), Structural Biology (39 citations), Media Technology (187 citations), Computer Vision and Pattern Recognition (308 citations) and Health Informatics (19 citations). Deniz Saltukoglu has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Matias Simons, Julian Grünewald, Gerd Walz, Tobias F. Hermle, Michael G. Reth, Xiong Pi, Jianying Yang, Zhuoyi Liang, Frederick W. Alt and Ying Dong. Their work appears in journals such as Nature Methods, Molecular Biology of the Cell, Life Science Alliance, Nature and Current 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.