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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- Single-cell and spatial transcriptomics 5
- Advanced Biosensing Techniques and Applications 2
- RNA Research and Splicing 1
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- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Erwin M. Schoof (7 shared papers)Bo Porse (6 shared papers)Benjamin Furtwängler (6 shared papers)Ulrich auf dem Keller (3 shared papers)John E. Dick (1 shared paper)Simonas Savickas (1 shared paper)Nicolas Rapin (1 shared paper)Eric R. Lechman (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (3 papers)Nature Communications (3 papers)Analytical Chemistry (1 paper)Science (1 paper)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Nil Üresin
7 papers receiving 363 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Spectroscopy 208
- Biophysics 26
- Molecular Biology 289
- Cancer Research 32
- Biomedical Engineering 54
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 | 225 |
| 2 | 2022 | 53 | |
| 3 | 2023 | 44 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 |
About Nil Üresin
Nil Üresin is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Biomedical Engineering and Genetics, having authored 8 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (2 papers), Biosensors and Analytical Detection (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Cell Image Analysis Techniques (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Spectroscopy (208 citations), Biophysics (26 citations), Molecular Biology (289 citations), Cancer Research (32 citations) and Biomedical Engineering (54 citations). Nil Üresin has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Erwin M. Schoof, Bo Porse, Benjamin Furtwängler, Ulrich auf dem Keller, John E. Dick, Simonas Savickas, Nicolas Rapin, Eric R. Lechman, Romain Huguet and Daniel López‐Ferrer. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Communications, Analytical Chemistry and Science.
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.