Genevieve Stein-O’Brien

3.8k total citations · 2 hit papers
38 papers, 1.3k citations indexed

About

Genevieve Stein-O’Brien is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Genevieve Stein-O’Brien has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Genevieve Stein-O’Brien's work include Single-cell and spatial transcriptomics (17 papers), Gene Regulatory Network Analysis (8 papers) and Cell Image Analysis Techniques (7 papers). Genevieve Stein-O’Brien is often cited by papers focused on Single-cell and spatial transcriptomics (17 papers), Gene Regulatory Network Analysis (8 papers) and Cell Image Analysis Techniques (7 papers). Genevieve Stein-O’Brien collaborates with scholars based in United States, Russia and Japan. Genevieve Stein-O’Brien's co-authors include Loyal A. Goff, Elana J. Fertig, Thomas D. Sherman, Emily F. Davis-Marcisak, Seth Blackshaw, Brian S. Clark, Alexander V. Favorov, Thanh Hoang, Fion Shiau and Richard M. Gronostajski and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Genevieve Stein-O’Brien

35 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification

2019 301 citations Brian S. Clark, Genevieve Stein-O’Brien et al. profile →
Psychedelics reopen the social reward learning critical period

2023 148 citations Romain Nardou, Young Jun Song et al. Nature profile →

Peers

Genevieve Stein-O’Brien

IMMUN

ONCOL

CMN

Ying‐Wooi Wan United States

Cristin McCabe United States

Wang Zheng China

Sharon K. Michelhaugh United States

Thomas Vaissière United States

Anna La Torre United States

Daniel P. Seeburg United States

Edward C. Stack United States

Zhisong He China

Jenny M. Gunnersen Australia

Ying‐Wooi Wan United States

Genevieve Stein-O’Brien

982 ×1.1

252 ×1.3

204 ×1.2

IMMUN

119 ×0.7

ONCOL

198 ×1.2

CMN

Citations per year, relative to Genevieve Stein-O’Brien Genevieve Stein-O’Brien (= 1×) peers Ying‐Wooi Wan

Countries citing papers authored by Genevieve Stein-O’Brien

Since Specialization

Citations

This map shows the geographic impact of Genevieve Stein-O’Brien'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 Genevieve Stein-O’Brien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genevieve Stein-O’Brien more than expected).

Fields of papers citing papers by Genevieve Stein-O’Brien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genevieve Stein-O’Brien. 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 Genevieve Stein-O’Brien. The network helps show where Genevieve Stein-O’Brien may publish in the future.

Co-authorship network of co-authors of Genevieve Stein-O’Brien

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

All Works

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20 of 20 papers shown

Stein-O’Brien, Genevieve, E. Michael Meyer, Javier Redding‐Ochoa, et al.. (2025). Transcriptional signatures of hippocampal tau pathology in primary age-related tauopathy and Alzheimer’s disease. Cell Reports. 44(3). 115422–115422. 1 indexed citations

Stein-O’Brien, Genevieve, et al.. (2024). Claudin 7 suppresses invasion and metastasis through repression of a smooth muscle actin program. The Journal of Cell Biology. 223(12).

Godet, Inês, Michael Considine, Jingyuan Zhang, et al.. (2024). Hypoxia induces ROS-resistant memory upon reoxygenation in vivo promoting metastasis in part via MUC1-C. Nature Communications. 15(1). 8416–8416. 6 indexed citations

Barão, Soraia, Rachel Vistein, Loyal A. Goff, et al.. (2024). Conserved transcriptional regulation by BRN1 and BRN2 in neocortical progenitors drives mammalian neural specification and neocortical expansion. Nature Communications. 15(1). 8043–8043. 7 indexed citations

Knútsdóttir, Hildur, Fatemeh Shojaeian, Michael G. Lerner, et al.. (2023). Morphology-guided transcriptomic analysis of human pancreatic cancer organoids reveals microenvironmental signals that enhance invasion. Journal of Clinical Investigation. 133(8). 14 indexed citations

Stein-O’Brien, Genevieve, Dung T. Le, Elizabeth M. Jaffee, Elana J. Fertig, & Neeha Zaidi. (2023). Converging on a Cure: The Roads to Predictive Immunotherapy. Cancer Discovery. 13(5). 1053–1057. 5 indexed citations

Mitchell, Jacob T., Emily F. Davis-Marcisak, Thomas D. Sherman, et al.. (2023). Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS. Nature Protocols. 18(12). 3690–3731. 6 indexed citations

Erbe, Rossin, Genevieve Stein-O’Brien, & Elana J. Fertig. (2023). Transcriptomic forecasting with neural ordinary differential equations. Patterns. 4(8). 100793–100793. 7 indexed citations

Nardou, Romain, Young Jun Song, M. F. Wilkinson, et al.. (2023). Psychedelics reopen the social reward learning critical period. Nature. 618(7966). 790–798. 148 indexed citations breakdown →

10.

Zheng, Shijie, Genevieve Stein-O’Brien, Leandros Boukas, Loyal A. Goff, & Kasper D. Hansen. (2023). Pumping the brakes on RNA velocity by understanding and interpreting RNA velocity estimates. Genome biology. 24(1). 246–246. 25 indexed citations

11.

Chen, Huan, Brian Caffo, Genevieve Stein-O’Brien, et al.. (2022). Two-stage linked component analysis for joint decomposition of multiple biologically related data sets. Biostatistics. 23(4). 1200–1217. 3 indexed citations

12.

Zheng, Shijie, Genevieve Stein-O’Brien, Jonathan J. Augustin, et al.. (2022). Universal prediction of cell-cycle position using transfer learning. Genome biology. 23(1). 41–41. 51 indexed citations

13.

Davis-Marcisak, Emily F., Atul Deshpande, Genevieve Stein-O’Brien, et al.. (2021). From bench to bedside: Single-cell analysis for cancer immunotherapy. Cancer Cell. 39(8). 1062–1080. 64 indexed citations

14.

Sharma, Gaurav, Carlo Colantuoni, Loyal A. Goff, Elana J. Fertig, & Genevieve Stein-O’Brien. (2020). projectR: an R/Bioconductor package for transfer learning via PCA, NMF, correlation and clustering. Bioinformatics. 36(11). 3592–3593. 40 indexed citations

15.

Davis-Marcisak, Emily F., Thomas D. Sherman, Genevieve Stein-O’Brien, et al.. (2019). Differential Variation Analysis Enables Detection of Tumor Heterogeneity Using Single-Cell RNA-Sequencing Data. Cancer Research. 79(19). 5102–5112. 26 indexed citations

16.

Sherman, Thomas D., Luciane T. Kagohara, Raymond Cheng, et al.. (2019). CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer. PLoS Computational Biology. 14(4). e1006935–e1006935. 1 indexed citations

17.

Stein-O’Brien, Genevieve, Brian S. Clark, Thomas D. Sherman, et al.. (2019). Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species. Cell Systems. 8(5). 395–411.e8. 81 indexed citations

18.

Afsari, Bahman, Theresa Guo, Michael Considine, et al.. (2018). Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer. Bioinformatics. 34(11). 1859–1867. 9 indexed citations

19.

Stein-O’Brien, Genevieve, Jacob Carey, Michael Considine, et al.. (2017). PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF. Bioinformatics. 33(12). 1892–1894. 25 indexed citations

20.

Fertig, Elana J., Genevieve Stein-O’Brien, Andrew E. Jaffe, & Carlo Colantuoni. (2013). Pattern Identification in Time-Course Gene Expression Data with the CoGAPS Matrix Factorization. Methods in molecular biology. 1101. 87–112. 4 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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