Aaron Streets

7.6k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

Aaron Streets is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, Aaron Streets has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Biomedical Engineering and 11 papers in Biophysics. Recurrent topics in Aaron Streets's work include Single-cell and spatial transcriptomics (8 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Aaron Streets is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Aaron Streets collaborates with scholars based in United States, China and Israel. Aaron Streets's co-authors include Yanyi Huang, Stephen R. Quake, Nir Yosef, Zoë Steier, Adam Gayoso, Jeffrey Regier, Kristopher L. Nazor, Romain Lopez, Chen Cao and Tao Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Genetics.

In The Last Decade

Aaron Streets

36 papers receiving 1.6k citations

Hit Papers

Joint probabilistic modeling of single-cell multi-omic da... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Streets United States 21 849 523 250 128 125 38 1.6k
James Jonkman Canada 16 526 0.6× 317 0.6× 257 1.0× 61 0.5× 79 0.6× 24 1.5k
Carlo Morasso Italy 24 746 0.9× 467 0.9× 183 0.7× 59 0.5× 148 1.2× 69 1.5k
Rupsa Datta United States 13 554 0.7× 550 1.1× 423 1.7× 79 0.6× 79 0.6× 23 1.4k
Renzo Vanna Italy 23 610 0.7× 312 0.6× 267 1.1× 45 0.4× 112 0.9× 60 1.3k
Elena A. Dubikovskaya Switzerland 15 602 0.7× 434 0.8× 177 0.7× 32 0.3× 52 0.4× 23 1.3k
Yanan Wu China 27 1.2k 1.4× 364 0.7× 245 1.0× 65 0.5× 386 3.1× 86 1.8k
Isaac T. S. Li Canada 21 1.1k 1.3× 340 0.7× 102 0.4× 60 0.5× 285 2.3× 58 1.9k
Sigrun Gustafsdottir Sweden 18 2.0k 2.4× 578 1.1× 243 1.0× 130 1.0× 150 1.2× 22 2.7k
Katrin G. Heinze Germany 23 1.0k 1.2× 267 0.5× 717 2.9× 203 1.6× 47 0.4× 81 2.0k
Hernán E. Grecco Argentina 17 1.4k 1.6× 280 0.5× 292 1.2× 110 0.9× 62 0.5× 50 2.1k

Countries citing papers authored by Aaron Streets

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Streets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Streets

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Streets. A scholar is included among the top collaborators of Aaron Streets 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 Aaron Streets. Aaron Streets 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.
Ergen, Can, et al.. (2025). Scvi-hub: an actionable repository for model-driven single-cell analysis. Nature Methods. 22(9). 1836–1845.
2.
Altemose, Nicolas, Lucy D. Brennan, Kousik Sundararajan, et al.. (2024). Mapping protein–DNA interactions with DiMeLo-seq. Nature Protocols. 19(12). 3697–3720. 1 indexed citations
3.
Cao, Xiaobao, Tomáš Buryška, Jing Wang, et al.. (2023). Towards an active droplet-based microfluidic platform for programmable fluid handling. Lab on a Chip. 23(8). 2029–2038. 12 indexed citations
4.
Gupta, Anushka, Vissarion Efthymiou, Sean D. Kodani, et al.. (2023). Mapping the transcriptional landscape of human white and brown adipogenesis using single-nuclei RNA-seq. Molecular Metabolism. 74. 101746–101746. 6 indexed citations
5.
Bulger, Emily A., et al.. (2023). Loss of TJP1 disrupts gastrulation patterning and increases differentiation toward the germ cell lineage in human pluripotent stem cells. Developmental Cell. 58(16). 1477–1488.e5. 13 indexed citations
6.
Gayoso, Adam, Philipp Weiler, Mohammad Lotfollahi, et al.. (2023). Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells. Nature Methods. 21(1). 50–59. 38 indexed citations
7.
Li, Brian, et al.. (2022). Mechanical phenotyping reveals unique biomechanical responses in retinoic acid-resistant acute promyelocytic leukemia. iScience. 25(2). 103772–103772. 5 indexed citations
8.
Chen, Tao, Chen Cao, Jianyun Zhang, et al.. (2022). Histologically resolved multiomics enables precise molecular profiling of human intratumor heterogeneity. PLoS Biology. 20(7). e3001699–e3001699. 10 indexed citations
9.
Dorlhiac, Gabriel, et al.. (2022). Phototoxic effects of nonlinear optical microscopy on cell cycle, oxidative states, and gene expression. Scientific Reports. 12(1). 18796–18796. 9 indexed citations
10.
Bangs, Derek J., Alexandra Tsitsiklis, Zoë Steier, et al.. (2022). CXCR3 regulates stem and proliferative CD8+ T cells during chronic infection by promoting interactions with DCs in splenic bridging channels. Cell Reports. 38(3). 110266–110266. 21 indexed citations
11.
Gayoso, Adam, Zoë Steier, Romain Lopez, et al.. (2021). Joint probabilistic modeling of single-cell multi-omic data with totalVI. Nature Methods. 18(3). 272–282. 249 indexed citations breakdown →
12.
Shamsi, Farnaz, Mary Piper, Li‐Lun Ho, et al.. (2021). Vascular smooth muscle-derived Trpv1+ progenitors are a source of cold-induced thermogenic adipocytes. Nature Metabolism. 3(4). 485–495. 71 indexed citations
13.
Altemose, Nicolas, et al.. (2020). μDamID: A Microfluidic Approach for Joint Imaging and Sequencing of Protein-DNA Interactions in Single Cells. Cell Systems. 11(4). 354–366.e9. 14 indexed citations
14.
Altemose, Nicolas, et al.. (2019). On-ratio PDMS bonding for multilayer microfluidic device fabrication. Journal of Micromechanics and Microengineering. 29(10). 107001–107001. 21 indexed citations
15.
Ingargiola, Antonino, Eitan Lerner, Sangyoon Chung, et al.. (2019). High-throughput smFRET analysis of freely diffusing nucleic acid molecules and associated proteins. Methods. 169. 21–45. 4 indexed citations
16.
White, Jonathan A. & Aaron Streets. (2017). Controller for microfluidic large-scale integration. HardwareX. 3. 135–145. 28 indexed citations
17.
Chen, Tao, et al.. (2013). Optical imaging of non-fluorescent nanodiamonds in live cells using transient absorption microscopy. Nanoscale. 5(11). 4701–4701. 24 indexed citations
18.
Streets, Aaron & Yanyi Huang. (2013). Microfluidics for biological measurements with single-molecule resolution. Current Opinion in Biotechnology. 25. 69–77. 62 indexed citations
19.
Streets, Aaron, Yannick Sourigues, Ron R. Kopito, Ronald Melki, & Stephen R. Quake. (2013). Simultaneous Measurement of Amyloid Fibril Formation by Dynamic Light Scattering and Fluorescence Reveals Complex Aggregation Kinetics. PLoS ONE. 8(1). e54541–e54541. 70 indexed citations
20.
Streets, Aaron & Stephen R. Quake. (2010). Ostwald Ripening of Clusters during Protein Crystallization. Physical Review Letters. 104(17). 178102–178102. 58 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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