Steven J. Altschuler

10.9k total citations · 4 hit papers
73 papers, 6.5k citations indexed

About

Steven J. Altschuler is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Steven J. Altschuler has authored 73 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 24 papers in Biophysics and 10 papers in Cell Biology. Recurrent topics in Steven J. Altschuler's work include Cell Image Analysis Techniques (22 papers), Single-cell and spatial transcriptomics (13 papers) and Gene Regulatory Network Analysis (10 papers). Steven J. Altschuler is often cited by papers focused on Cell Image Analysis Techniques (22 papers), Single-cell and spatial transcriptomics (13 papers) and Gene Regulatory Network Analysis (10 papers). Steven J. Altschuler collaborates with scholars based in United States, Australia and Germany. Steven J. Altschuler's co-authors include Lani F. Wu, Oliver J. Rando, Michael F. Dion, Orion D. Weiner, Sigurd Angenent, Guo‐Cheng Yuan, Yuen-Jong Liu, Lit‐Hsin Loo, Zachary E. Perlman and Feng Yan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Steven J. Altschuler

72 papers receiving 6.4k citations

Hit Papers

Genome-Scale Identificati... 2004 2026 2011 2018 2005 2010 2004 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven J. Altschuler United States 32 4.3k 1.2k 1.2k 769 522 73 6.5k
Lani F. Wu United States 30 4.5k 1.1× 1.2k 1.0× 1.4k 1.2× 793 1.0× 525 1.0× 68 6.5k
Martin Beck Germany 55 8.8k 2.0× 661 0.5× 1.4k 1.2× 389 0.5× 381 0.7× 136 11.6k
Philippe I. H. Bastiaens Germany 56 8.5k 2.0× 1.8k 1.5× 2.9k 2.4× 808 1.1× 1.3k 2.5× 138 11.3k
Boris Ν. Kholodenko United States 53 9.4k 2.2× 817 0.7× 1.7k 1.4× 485 0.6× 1.0k 2.0× 217 11.5k
J.M. Carazo Spain 55 6.5k 1.5× 531 0.4× 569 0.5× 352 0.5× 584 1.1× 279 11.1k
John G. Albeck United States 29 3.7k 0.9× 576 0.5× 559 0.5× 371 0.5× 661 1.3× 55 4.8k
Yasushi Sako Japan 39 4.2k 1.0× 1.5k 1.2× 1.2k 1.0× 845 1.1× 422 0.8× 134 6.0k
Galit Lahav United States 37 5.8k 1.4× 699 0.6× 1.2k 1.0× 378 0.5× 2.5k 4.7× 62 7.3k
Kurt S. Thorn United States 26 4.1k 1.0× 397 0.3× 1.6k 1.3× 374 0.5× 304 0.6× 35 5.8k
Markus W. Covert United States 38 5.6k 1.3× 1.0k 0.8× 275 0.2× 1.3k 1.6× 362 0.7× 74 8.0k

Countries citing papers authored by Steven J. Altschuler

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Altschuler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven J. Altschuler

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Altschuler. A scholar is included among the top collaborators of Steven J. Altschuler 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 Steven J. Altschuler. Steven J. Altschuler 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.
Sun, Xiaoxiao, et al.. (2024). Targeting PRMT1 Reduces Cancer Persistence and Tumor Relapse in EGFR - and KRAS -Mutant Lung Cancer. Cancer Research Communications. 5(1). 119–127.
2.
Sun, Xiaoxiao, Lani F. Wu, Steven J. Altschuler, & Aaron N. Hata. (2024). Targeting therapy-persistent residual disease. Nature Cancer. 5(9). 1298–1304. 7 indexed citations
3.
Chase, Alexander B., Heinz Hammerlindl, Elany Barbosa da Silva, et al.. (2024). Small molecule in situ resin capture provides a compound first approach to natural product discovery. Nature Communications. 15(1). 5230–5230. 12 indexed citations
4.
Shen, Susan Q., et al.. (2023). Searching for molecular hypoxia sensors among oxygen-dependent enzymes. eLife. 12. 28 indexed citations
5.
Waters, Christopher S, Zizheng Li, Karl Kumbier, et al.. (2023). Dissecting the effects of GTPase and kinase domain mutations on LRRK2 endosomal localization and activity. Cell Reports. 42(5). 112447–112447. 3 indexed citations
6.
Kumbier, Karl, et al.. (2023). Selection of Optimal Cell Lines for High-Content Phenotypic Screening. ACS Chemical Biology. 18(4). 679–685. 9 indexed citations
7.
Sun, Xiaoxiao, Heinz Hammerlindl, Robert J. Chalkley, et al.. (2022). Modulating environmental signals to reveal mechanisms and vulnerabilities of cancer persisters. Science Advances. 8(4). eabi7711–eabi7711. 8 indexed citations
8.
Ji, Weiyue, Lani F. Wu, & Steven J. Altschuler. (2021). Analysis of growth cone extension in standardized coordinates highlights self-organization rules during wiring of the Drosophila visual system. PLoS Genetics. 17(11). e1009857–e1009857. 1 indexed citations
9.
Sanman, Laura E., et al.. (2020). Generation and Quantitative Imaging of Enteroid Monolayers. Methods in molecular biology. 2171. 99–113. 10 indexed citations
10.
Thurley, Kevin, Lani F. Wu, & Steven J. Altschuler. (2018). Modeling Cell-to-Cell Communication Networks Using Response-Time Distributions. Cell Systems. 6(3). 355–367.e5. 44 indexed citations
11.
Deb, Dhruba, Satwik Rajaram, Jill E. Larsen, et al.. (2017). Combination Therapy Targeting BCL6 and Phospho-STAT3 Defeats Intratumor Heterogeneity in a Subset of Non–Small Cell Lung Cancers. Cancer Research. 77(11). 3070–3081. 33 indexed citations
12.
Rajaram, Satwik, John D. Gordan, Agnieszka K. Witkiewicz, et al.. (2017). Sampling strategies to capture single-cell heterogeneity. Nature Methods. 14(10). 967–970. 24 indexed citations
13.
Wu, Julie, Fabrizia Fusetti, Wynand Alkema, et al.. (2015). Homer3 regulates the establishment of neutrophil polarity. Molecular Biology of the Cell. 26(9). 1629–1639. 22 indexed citations
14.
Thorne, Curtis A., et al.. (2014). GSK-3 modulates cellular responses to a broad spectrum of kinase inhibitors. Nature Chemical Biology. 11(1). 58–63. 26 indexed citations
15.
Pavie, Benjamin, Satwik Rajaram, Jason M. Altschuler, et al.. (2014). Rapid Analysis and Exploration of Fluorescence Microscopy Images. Journal of Visualized Experiments. 1 indexed citations
16.
Wang, Yanqin, Chin‐Jen Ku, Alexander B. Artyukhin, et al.. (2013). Identifying Network Motifs that Buffer Front-to-Back Signaling in Polarized Neutrophils. Cell Reports. 3(5). 1607–1616. 29 indexed citations
17.
Ku, Chin‐Jen, Yanqin Wang, Benjamin Pavie, Steven J. Altschuler, & Lani F. Wu. (2010). On identifying information from image-based spatial polarity phenotypes in neutrophils. PubMed. 21. 1029–1032. 6 indexed citations
18.
Dion, Michael F., Steven J. Altschuler, Lani F. Wu, & Oliver J. Rando. (2005). Genomic characterization reveals a simple histone H4 acetylation code. Proceedings of the National Academy of Sciences. 102(15). 5501–5506. 290 indexed citations
19.
Yuan, Guo‐Cheng, Yuen-Jong Liu, Michael F. Dion, et al.. (2005). Genome-Scale Identification of Nucleosome Positions in S. cerevisiae. Science. 309(5734). 626–630. 892 indexed citations breakdown →
20.
Altschuler, Steven J., Sigurd Angenent, & Yoshikazu Giga. (1991). Mean curvature flow through singularities for surfaces of rotation. EPrints - Department of Mathematics, Hokkaido University. 130. 1–62. 3 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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