Nil Üresin

706 total citations · 1 hit paper
8 papers, 364 citations indexed

About

Nil Üresin is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Nil Üresin has authored 8 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Spectroscopy and 2 papers in Cancer Research. Recurrent topics in Nil Üresin's work include Advanced Proteomics Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (5 papers) and Advanced Biosensing Techniques and Applications (2 papers). Nil Üresin is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Single-cell and spatial transcriptomics (5 papers) and Advanced Biosensing Techniques and Applications (2 papers). Nil Üresin collaborates with scholars based in Denmark, United States and Germany. Nil Üresin's co-authors include Erwin M. Schoof, Benjamin Furtwängler, Bo Porse, Ulrich auf dem Keller, Nicolas Rapin, John E. Dick, Eric R. Lechman, Simonas Savickas, Vlad Zabrouskov and Khatereh Motamedchaboki and has published in prestigious journals such as Science, Nature Communications and Analytical Chemistry.

In The Last Decade

Nil Üresin

7 papers receiving 363 citations

Hit Papers

Quantitative single-cell proteomics as a tool to characte... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
    2021 225 citations Erwin M. Schoof, Benjamin Furtwängler et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nil Üresin Denmark 5 289 208 54 32 26 8 364
Simonas Savickas Denmark 8 257 0.9× 138 0.7× 47 0.9× 39 1.2× 21 0.8× 13 362
Benjamin Furtwängler Denmark 8 361 1.2× 222 1.1× 62 1.1× 39 1.2× 27 1.0× 12 489
Katja Ovchinnikova Germany 5 248 0.9× 143 0.7× 17 0.3× 39 1.2× 31 1.2× 6 312
Marco Tognetti United States 6 290 1.0× 69 0.3× 20 0.4× 37 1.2× 18 0.7× 10 341
Erika P. Portero United States 8 218 0.8× 214 1.0× 81 1.5× 24 0.8× 23 0.9× 11 300
R. Gray Huffman United States 6 649 2.2× 514 2.5× 108 2.0× 54 1.7× 90 3.5× 7 794
Stephanie Ling United Kingdom 7 148 0.5× 88 0.4× 24 0.4× 44 1.4× 21 0.8× 16 257
René B. H. Braakman Netherlands 10 233 0.8× 178 0.9× 19 0.4× 63 2.0× 7 0.3× 15 332
Thy Truong United States 13 479 1.7× 546 2.6× 199 3.7× 20 0.6× 60 2.3× 18 693
Valdemaras Petrosius Denmark 7 175 0.6× 78 0.4× 23 0.4× 16 0.5× 5 0.2× 9 233

Countries citing papers authored by Nil Üresin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nil Üresin

This figure shows the co-authorship network connecting the top 25 collaborators of Nil Üresin. A scholar is included among the top collaborators of Nil Üresin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nil Üresin. Nil Üresin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Furtwängler, Benjamin, Nil Üresin, Sabrina Richter, et al.. (2025). Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics. Science. 390(6770). eadr8785–eadr8785.
2.
Petrosius, Valdemaras, Tabiwang N. Arrey, Nil Üresin, et al.. (2025). Quantitative Label-Free Single-Cell Proteomics on the Orbitrap Astral MS. Molecular & Cellular Proteomics. 24(6). 100982–100982. 1 indexed citations
3.
Petrosius, Valdemaras, Nil Üresin, Benjamin Furtwängler, et al.. (2023). Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition. Nature Communications. 14(1). 5910–5910. 44 indexed citations
4.
Petrosius, Valdemaras, Nil Üresin, David Kotol, et al.. (2023). Assessing the Role of Trypsin in Quantitative Plasma and Single-Cell Proteomics toward Clinical Application. Analytical Chemistry. 95(36). 13649–13658. 10 indexed citations
5.
Furtwängler, Benjamin, Nil Üresin, Romain Huguet, et al.. (2022). Ultra-high sensitivity proteomics for precision oncology. Molecular & Cellular Proteomics. 21(8). 100290–100290. 1 indexed citations
6.
Furtwängler, Benjamin, Nil Üresin, Khatereh Motamedchaboki, et al.. (2022). Real-Time Search-Assisted Acquisition on a Tribrid Mass Spectrometer Improves Coverage in Multiplexed Single-Cell Proteomics. Molecular & Cellular Proteomics. 21(4). 100219–100219. 53 indexed citations
7.
Vidal, Enrique, Eduard Zorita, Nil Üresin, et al.. (2021). Chromosome compartments on the inactive X guide TAD formation independently of transcription during X-reactivation. Nature Communications. 12(1). 3499–3499. 30 indexed citations
8.
Schoof, Erwin M., Benjamin Furtwängler, Nil Üresin, et al.. (2021). Quantitative single-cell proteomics as a tool to characterize cellular hierarchies. Nature Communications. 12(1). 3341–3341. 225 indexed citations breakdown →

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.

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