Standout Papers

Quantitative single-cell proteomics as a tool to characterize cellular hierarchies 2021 2026 2022 2024216
  1. Quantitative single-cell proteomics as a tool to characterize cellular hierarchies (2021)
    Erwin M. Schoof, Benjamin Furtwängler et al. Nature Communications

Immediate Impact

1 from Science/Nature 53 standout
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Works of Nil Üresin being referenced

Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
2021 Standout

Author Peers

Author Last Decade Papers Cites
Nil Üresin 277 198 31 51 8 344
Simonas Savickas 246 134 38 44 13 340
Rodrigo Vargas Eguez 281 165 27 17 9 382
Marco Tognetti 281 64 36 20 9 325
Editha Bayer 261 94 41 19 10 385
Philipp Geiger 224 95 78 81 9 368
Eckhard Belau 274 279 15 24 10 397
Mathias Kalxdorf 252 193 15 34 8 361
Eva Golenko 227 191 23 37 9 328
Jean‐Pascal Gimeno 242 179 38 20 14 367
Christoph Wichmann 288 268 21 22 9 385

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