Benjamin J. Strober

12.1k total citations
12 papers, 873 citations indexed

About

Benjamin J. Strober is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Benjamin J. Strober has authored 12 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Benjamin J. Strober's work include RNA Research and Splicing (5 papers), Single-cell and spatial transcriptomics (4 papers) and Gene Regulatory Network Analysis (3 papers). Benjamin J. Strober is often cited by papers focused on RNA Research and Splicing (5 papers), Single-cell and spatial transcriptomics (4 papers) and Gene Regulatory Network Analysis (3 papers). Benjamin J. Strober collaborates with scholars based in United States and Malaysia. Benjamin J. Strober's co-authors include Alexis Battle, David U. Gorkin, Maggie Baker, Dongwon Lee, Andrew S. McCallion, M Beer, David Levens, Mark Avigan, Yoav Gilad and Katherine Rhodes and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Benjamin J. Strober

12 papers receiving 860 citations

Peers

Benjamin J. Strober
Idan Cohen Israel
Dianne C. Daniel United States
Ximena Montano United Kingdom
Per Arne Andresen Norway
Rossella Maione Italy
Mary A. Allen United States
Arno Scheller United States
C R Mueller Germany
Michael B. Small United States
Subhashini Sadasivam India
Idan Cohen Israel
Benjamin J. Strober
Citations per year, relative to Benjamin J. Strober Benjamin J. Strober (= 1×) peers Idan Cohen

Countries citing papers authored by Benjamin J. Strober

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Strober

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Strober. 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 Benjamin J. Strober. The network helps show where Benjamin J. Strober may publish in the future.

Co-authorship network of co-authors of Benjamin J. Strober

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

All Works

12 of 12 papers shown
1.
Strober, Benjamin J., Martin Jinye Zhang, Tiffany Amariuta, Jordan Rossen, & Alkes L. Price. (2025). Fine-mapping causal tissues and genes at disease-associated loci. Nature Genetics. 57(1). 42–52. 3 indexed citations
2.
Strober, Benjamin J., Guanghao Qi, M. Grace Gordon, et al.. (2024). SURGE: uncovering context-specific genetic-regulation of gene expression from single-cell RNA sequencing using latent-factor models. Genome biology. 25(1). 28–28. 4 indexed citations
3.
Qi, Guanghao, et al.. (2023). Single-cell allele-specific expression analysis reveals dynamic and cell-type-specific regulatory effects. Nature Communications. 14(1). 6317–6317. 12 indexed citations
4.
Elorbany, Reem, Katherine Rhodes, Benjamin J. Strober, et al.. (2022). Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation. PLoS Genetics. 18(1). e1009666–e1009666. 36 indexed citations
5.
Arvanitis, Marios, et al.. (2022). Redefining tissue specificity of genetic regulation of gene expression in the presence of allelic heterogeneity. The American Journal of Human Genetics. 109(2). 223–239. 42 indexed citations
6.
Li, Taibo, Benjamin J. Strober, Marios Arvanitis, et al.. (2022). Abstract 11946: Prioritization of Multiomic Rare Variants (RVs) Underlying Electrocardiogram (EKG) Traits Using Bayesian Hierarchical Modeling (“Watershed”). Circulation. 146(Suppl_1). 2 indexed citations
7.
Rhodes, Katherine, et al.. (2021). Human embryoid bodies as a novel system for genomic studies of functionally diverse cell types. eLife. 11. 14 indexed citations
8.
Strober, Benjamin J., et al.. (2019). Dynamic genetic regulation of gene expression during cellular differentiation. Science. 364(6447). 1287–1290. 108 indexed citations
9.
Cheng, Jingwei, Donglim Esther Park, Christian Berrios, et al.. (2017). Merkel cell polyomavirus recruits MYCL to the EP400 complex to promote oncogenesis. PLoS Pathogens. 13(10). e1006668–e1006668. 92 indexed citations
10.
Li, Xin, Yungil Kim, Emily K. Tsang, et al.. (2017). The impact of rare variation on gene expression across tissues. Nature. 550(7675). 239–243. 144 indexed citations
11.
Lee, Dongwon, David U. Gorkin, Maggie Baker, et al.. (2015). A method to predict the impact of regulatory variants from DNA sequence. Nature Genetics. 47(8). 955–961. 294 indexed citations
12.
Avigan, Mark, Benjamin J. Strober, & David Levens. (1990). A far upstream element stimulates c-myc expression in undifferentiated leukemia cells.. Journal of Biological Chemistry. 265(30). 18538–18545. 122 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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