Caleb Weinreb

Molecular Biology · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 82 citations into it; #5,152 of 17,773 by trust here, #6,216 by citations
• Computational Biology & Bioinformatics — 14 citations into it
• Biophysics — 12 citations into it; #408 of 1,196 by trust here, #448 by citations

Whom Caleb Weinreb trusts overall

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

1. Daniel T. Gillespie
2. Eric P. Nawrocki
3. The Uniprot Consortium
4. Debora Marks
5. Chen Xu
6. Justin B. Kinney
7. Sean R. Eddy
8. Michael B. Elowitz
9. Allon M. Klein
10. Johannes Rinn

Who trusts Caleb Weinreb overall

1. F. Alexander Wolf
2. Romain Lopez
3. Samuel L. Wolock
4. Yingfan Wang
5. Allon M. Klein
6. Alejo E. Rodriguez-Fraticelli
7. J. Böhm
8. Chenling A. Xu
9. Fabian J Theis
10. Yang Liu

Papers from Caleb Weinreb's perspective

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

1. Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
2. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
3. Secondary structure prediction for aligned RNA sequences. (Journal of Molecular Biology)
4. Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors. (Cell)
5. Protein 3D Structure Computed from Evolutionary Sequence Variation
6. Identification of direct residue contacts in protein–protein interaction by message passing
7. Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps. (Proceedings of the National Academy of Sciences of the United States of America)
8. Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure. (Proceedings of the National Academy of Sciences of the United States of America)
9. Fundamental properties of unperturbed haematopoiesis from stem cells in vivo (Nature)
10. Protein structure prediction from sequence variation

Their papers

• Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo (2018) — 748 citations
• 3D RNA and Functional Interactions from Evolutionary Couplings. (2015) — 166 citations
• Fundamental limits on dynamic inference from single-cell snapshots (2017) — 343 citations
• SPRING: a kinetic interface for visualizing high dimensional single-cell expression data (2017) — 305 citations
• Lineage tracing on transcriptional landscapes links state to fate during differentiation (2018) — 638 citations