Caleb Weinreb

7.3k total citations · 6 hit papers
25 papers, 3.3k citations indexed

About

Caleb Weinreb is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Caleb Weinreb has authored 25 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Caleb Weinreb's work include Single-cell and spatial transcriptomics (12 papers), Zebrafish Biomedical Research Applications (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Caleb Weinreb is often cited by papers focused on Single-cell and spatial transcriptomics (12 papers), Zebrafish Biomedical Research Applications (6 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Caleb Weinreb collaborates with scholars based in United States, Germany and United Kingdom. Caleb Weinreb's co-authors include Allon M. Klein, Samuel L. Wolock, Fernando D. Camargo, Alejo Rodriguez-Fraticelli, James Briggs, Sean G. Megason, Daniel E. Wagner, Zach M. Collins, Merav Socolovsky and Betsabeh Khoramian Tusi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Caleb Weinreb

23 papers receiving 3.3k citations

Hit Papers

Single-cell mapping of gene expression landscapes and lin... 2018 2026 2020 2023 2018 2020 2018 2018 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caleb Weinreb United States 17 2.3k 641 523 397 380 25 3.3k
Ingo Roeder Germany 30 1.3k 0.6× 327 0.5× 832 1.6× 191 0.5× 264 0.7× 109 2.8k
Monika S. Kowalczyk United States 15 2.1k 0.9× 743 1.2× 467 0.9× 561 1.4× 167 0.4× 17 3.1k
Beijing Wu United States 10 4.8k 2.0× 1.1k 1.7× 340 0.7× 1.0k 2.6× 303 0.8× 10 5.8k
Sven Sagasser Sweden 13 3.7k 1.6× 1.1k 1.7× 141 0.3× 899 2.3× 331 0.9× 13 5.2k
Winfried Wiegraebe United States 9 1.1k 0.5× 236 0.4× 281 0.5× 95 0.2× 448 1.2× 11 2.1k
Michael Morse United States 13 3.3k 1.4× 1.2k 1.8× 103 0.2× 720 1.8× 304 0.8× 34 4.6k
Prapti Pokharel United States 4 2.9k 1.2× 1.1k 1.8× 99 0.2× 688 1.7× 305 0.8× 5 4.0k
Peter Humphries Ireland 42 4.6k 2.0× 351 0.5× 325 0.6× 265 0.7× 98 0.3× 177 6.3k
Caroline E. Burns United States 28 2.8k 1.2× 476 0.7× 157 0.3× 349 0.9× 101 0.3× 43 3.8k
Yuriy Baglaenko United States 12 3.0k 1.3× 1.8k 2.9× 194 0.4× 701 1.8× 276 0.7× 24 4.9k

Countries citing papers authored by Caleb Weinreb

Since Specialization
Citations

This map shows the geographic impact of Caleb Weinreb'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 Caleb Weinreb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb Weinreb more than expected).

Fields of papers citing papers by Caleb Weinreb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caleb Weinreb. 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 Caleb Weinreb. The network helps show where Caleb Weinreb may publish in the future.

Co-authorship network of co-authors of Caleb Weinreb

This figure shows the co-authorship network connecting the top 25 collaborators of Caleb Weinreb. A scholar is included among the top collaborators of Caleb Weinreb 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 Caleb Weinreb. Caleb Weinreb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Weinreb, Caleb, Tim Sainburg, Winthrop F. Gillis, et al.. (2026). Spontaneous behavior is a succession of self-directed tasks. Neuron. 114(5). 922–937.e12.
2.
Weinreb, Caleb, Sherry Lin, Mohammed Abdal Monium Osman, et al.. (2024). Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics. Nature Methods. 21(7). 1329–1339. 48 indexed citations breakdown →
3.
Lin, Sherry, et al.. (2024). Characterizing the structure of mouse behavior using Motion Sequencing. Nature Protocols. 19(11). 3242–3291. 5 indexed citations
4.
Weinreb, Caleb, et al.. (2023). To dismantle structural racism in science, scientists need to learn how it works. Neuropsychopharmacology. 48(4). 579–582. 2 indexed citations
5.
Markowitz, Jeffrey E., Winthrop F. Gillis, Maya Jay, et al.. (2023). Spontaneous behaviour is structured by reinforcement without explicit reward. Nature. 614(7946). 108–117. 90 indexed citations breakdown →
6.
Patel, Sachin, Constantina Christodoulou, Caleb Weinreb, et al.. (2022). Lifelong multilineage contribution by embryonic-born blood progenitors. Nature. 606(7915). 747–753. 77 indexed citations
7.
Weinreb, Caleb, Alejo Rodriguez-Fraticelli, Fernando D. Camargo, & Allon M. Klein. (2020). Lineage tracing on transcriptional landscapes links state to fate during differentiation. Science. 367(6479). 400 indexed citations breakdown →
8.
Rodriguez-Fraticelli, Alejo, Caleb Weinreb, Shou‐Wen Wang, et al.. (2020). Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis. Nature. 583(7817). 585–589. 143 indexed citations
9.
Cooper, Keiland W, David H. Brann, Michael C. Farruggia, et al.. (2020). COVID-19 and the Chemical Senses: Supporting Players Take Center Stage. Neuron. 107(2). 219–233. 215 indexed citations
10.
Weinreb, Caleb, Samuel L. Wolock, Betsabeh Khoramian Tusi, Merav Socolovsky, & Allon M. Klein. (2018). Fundamental limits on dynamic inference from single-cell snapshots. Proceedings of the National Academy of Sciences. 115(10). E2467–E2476. 189 indexed citations
11.
Briggs, James, Caleb Weinreb, Daniel E. Wagner, et al.. (2018). The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution. Science. 360(6392). 365 indexed citations breakdown →
12.
Wagner, Daniel E., Caleb Weinreb, Zach M. Collins, et al.. (2018). Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo. Science. 360(6392). 981–987. 530 indexed citations breakdown →
13.
Tusi, Betsabeh Khoramian, Samuel L. Wolock, Caleb Weinreb, et al.. (2018). Population snapshots predict early haematopoietic and erythroid hierarchies. Nature. 555(7694). 54–60. 244 indexed citations
14.
Rodriguez-Fraticelli, Alejo, Samuel L. Wolock, Caleb Weinreb, et al.. (2018). Clonal analysis of lineage fate in native haematopoiesis. Nature. 553(7687). 212–216. 391 indexed citations breakdown →
15.
Dahlin, Joakim S., Fiona Hamey, Blanca Pijuan-Sala, et al.. (2018). A single-cell hematopoietic landscape resolves 8 lineage trajectories and defects in Kit mutant mice. Blood. 131(21). e1–e11. 137 indexed citations
16.
Weinreb, Caleb, Samuel L. Wolock, & Allon M. Klein. (2017). SPRING: a kinetic interface for visualizing high dimensional single-cell expression data. Bioinformatics. 34(7). 1246–1248. 184 indexed citations
17.
Rodriguez-Fraticelli, Alejo, et al.. (2017). Clonal analysis of lineage fate in unperturbed hematopoiesis. Experimental Hematology. 53. S50–S50. 1 indexed citations
18.
Escudero, Daniel J., Mark N. Lurie, Kenneth H. Mayer, et al.. (2016). Acute HIV infection transmission among people who inject drugs in a mature epidemic setting. AIDS. 30(16). 2537–2544. 9 indexed citations
19.
Weinreb, Caleb, Adam J. Riesselman, John Ingraham, et al.. (2016). 3D RNA and Functional Interactions from Evolutionary Couplings. Cell. 165(4). 963–975. 110 indexed citations
20.
Monteiro, João, Daniel J. Escudero, Caleb Weinreb, et al.. (2016). Understanding the effects of different HIV transmission models in individual-based microsimulation of HIV epidemic dynamics in people who inject drugs. Epidemiology and Infection. 144(8). 1683–1700. 12 indexed citations

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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