Nil Üresin
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 2
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- Cell Image Analysis Techniques 2
- Co-authors
- Erwin Marten Schoof (7 shared papers)Bo Torben Porse (6 shared papers)Benjamin Furtwängler (6 shared papers)Ulrich auf dem Keller (4 shared papers)Eric R. Lechman (2 shared papers)John Edgar Dick (2 shared papers)Nicolas Rapin (2 shared papers)Coline Gentil (2 shared papers)
- Journals
- Nature Communications (3 papers)Molecular & Cellular Proteomics (2 papers)Science (1 paper)Analytical Chemistry (1 paper)RePEc: Research Papers in Economics (1 paper)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Nil Üresin
8 papers receiving 456 citations
Nil Üresin's Hit Papers
Peers
Comparison fields: 5 of 57
- Spectroscopy 241
- Biophysics 32
- Molecular Biology 327
- Cancer Research 37
- Immunology 27
Countries citing papers authored by Nil Üresin
This map shows the geographic impact of Nil Üresin'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 Nil Üresin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nil Üresin more than expected).
Fields of papers citing papers by Nil Üresin
This network shows the impact of papers produced by Nil Üresin. 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 Nil Üresin. The network helps show where Nil Üresin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nil Üresin, 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 | Quantitative single-cell proteomics as a tool to characterize cellular hierarchies Hit paper breakdown → | 2021 | 259 |
| 2 | 2022 | 65 | |
| 3 | 2023 | 57 | |
| 4 | 2021 | 34 | |
| 5 | Quantitative single-cell proteomics as a tool to characterize cellular hierarchies | 2021 | 20 |
| 6 | 2023 | 12 | |
| 7 | 2025 | 10 | |
| 8 | 2025 | 5 |
About Nil Üresin
Nil Üresin is a scholar working on Spectroscopy, Biophysics, Molecular Biology, Cancer Research and Biomedical Engineering, having authored 8 papers that have together received 462 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (6 papers), Mass Spectrometry Techniques and Applications (2 papers), Biosensors and Analytical Detection (2 papers), Cell Image Analysis Techniques (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Cancer Genomics and Diagnostics (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Spectroscopy (241 citations), Biophysics (32 citations), Molecular Biology (327 citations), Cancer Research (37 citations) and Immunology (27 citations). Nil Üresin has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Erwin Marten Schoof, Bo Torben Porse, Benjamin Furtwängler, Ulrich auf dem Keller, Eric R. Lechman, John Edgar Dick, Nicolas Rapin, Coline Gentil, Simonas Savickas and Vlad Zabrouskov. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, Science, Analytical Chemistry and RePEc: Research Papers in Economics.
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.