Nil Üresin

751 citations
8 papers · 487 · 1 hit paper · h-index 8

Impact in

Papers in

    • Advanced Proteomics Techniques and Applications 6
    • Genomics and Chromatin Dynamics 1
    • Single-cell and spatial transcriptomics 1

Nil Üresin

8 papers receiving 483 citations

Nil Üresin's Hit Papers

Quantitative single-cell proteomics as a tool to characterize cellular hierarchies 2021 · 266 citations
2660+1+3Years since publication50100150200250

Peers

Nil Üresin
Comparison fields: 5 of 26
  • Spectroscopy 268
  • Biological Psychiatry 2
  • Molecular Biology 74
  • Hematology 13
  • Health Informatics 1
Replace Sophia Steigerwald with:
Sophia Steigerwald Germany
Alvaro Sebastian Vaca Jácome United States
Sibylle Pfammatter Canada
Geert P. M. Mommen Netherlands
Simon R. Perkins United Kingdom
Yu Jing Huang United States
Angelique Florentinus-Mefailoski Canada
Tim R Randolph United States
Valegh Faid France
R. Gray Huffman United States
Nil Üresin relative to Sophia Steigerwald Germany Sophia Steigerwald's profile →
Citations per field
00.5×1.5×2.2×
Sophia Steigerwald · 1×
Citations per year

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-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.

Border = papers with Nil Üresin Line = papers co-authored together Nil Üresin links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
Hit paper breakdown →
2021266
2 202267
3 202363
4 202135
5
Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
202121
6 202514
7 202313
8 20258

About Nil Üresin

Nil Üresin is a scholar working on Spectroscopy, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 8 papers that have together received 487 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Genomics and Chromatin Dynamics (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Spectroscopy (268 citations), Biological Psychiatry (2 citations), Molecular Biology (74 citations), Hematology (13 citations) and Health Informatics (1 citation). Nil Üresin has collaborated with scholars based in Denmark, Germany and Canada. Frequent co-authors include Erwin M. Schoof, Bo Torben Porse, Benjamin Furtwängler, Ulrich auf dem Keller, Simonas Savickas, Eric R. Lechman, John Edgar Dick, Nicolas Rapin, Vlad Zabrouskov and Khatereh Motamedchaboki. 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.

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