Dominic Grün

Molecular Biology · 2005–2020

A researcher in the Science corpus: 11 papers; trusts 29 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 188 citations into it; #1,530 of 17,773 by trust here, #2,475 by citations
• Cancer Research — 62 citations into it; #579 of 1,780 by trust here, #860 by citations
• Genetics — 30 citations into it; #2,292 of 6,854 by trust here, #1,076 by citations
• Biophysics — 25 citations into it
• Artificial Intelligence — 6 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Dominic Grün trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. L. V. D. van der Maaten
2. Simon Anders
3. Heng Li
4. J. Brennecke
5. Arjun Raj
6. Laleh Haghverdi
7. Geoffrey E. Hinton
8. Peter V. Kharchenko
9. Cole Trapnell
10. Alexander van Oudenaarden

Who trusts Dominic Grün overall

1. Rhonda L. Bacher
2. Cole Trapnell
3. Allon Wagner
4. Romain Lopez
5. Tallulah S. Andrews
6. Scott M. Hammond
7. Christina Kendziorski
8. Christoph Hafemeister
9. Rahul Satija
10. Aviv Regev

Papers from Dominic Grün's perspective

Ordered by how strongly the researchers Dominic Grün trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Specificity of microRNA target selection in translational repression. (Genes & Development)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Validation of noise models for single-cell transcriptomics (2014) — 729 citations
• Single-cell messenger RNA sequencing reveals rare intestinal cell types (2015) — 1,172 citations
• Design and Analysis of Single-Cell Sequencing Experiments. (2015) — 504 citations
• A Single-Cell Transcriptome Atlas of the Human Pancreas (2016) — 1,203 citations
• Benchmarking single-cell RNA-sequencing protocols for cell atlas projects (2020) — 413 citations
• A Human Liver Cell Atlas reveals Heterogeneity and Epithelial Progenitors (2019) — 957 citations
• Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease (2020) — 614 citations
• Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation (2019) — 740 citations
• FateID infers cell fate bias in multipotent progenitors from single-cell RNA-seq data (2017) — 304 citations
• microRNA Target Predictions across Seven Drosophila Species and Comparison to Mammalian Targets (2005) — 494 citations
• Combinatorial microRNA target predictions (2005) — 4,848 citations