Steven M. Markus

1.1k total citations
27 papers, 714 citations indexed

About

Steven M. Markus is a scholar working on Cell Biology, Molecular Biology and Plant Science. According to data from OpenAlex, Steven M. Markus has authored 27 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cell Biology, 23 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Steven M. Markus's work include Microtubule and mitosis dynamics (24 papers), Photosynthetic Processes and Mechanisms (12 papers) and Fungal and yeast genetics research (9 papers). Steven M. Markus is often cited by papers focused on Microtubule and mitosis dynamics (24 papers), Photosynthetic Processes and Mechanisms (12 papers) and Fungal and yeast genetics research (9 papers). Steven M. Markus collaborates with scholars based in United States, China and Japan. Steven M. Markus's co-authors include Wei‐Lih Lee, Samir S. Taneja, Susan Ha, Richard J. McKenney, Ian Mohr, Jennifer MacGregor, Kaitlyn Baranowski, Adam B. Hittelman, Susan K. Logan and Inez Rogatsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Steven M. Markus

25 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven M. Markus United States 15 593 532 99 60 40 27 714
Thomas Zobel Germany 13 377 0.6× 125 0.2× 58 0.6× 33 0.6× 22 0.6× 18 472
Ching-Wen Chang Taiwan 10 514 0.9× 479 0.9× 233 2.4× 124 2.1× 19 0.5× 14 688
Gregory Mazo United States 7 410 0.7× 300 0.6× 236 2.4× 22 0.4× 10 0.3× 7 528
Rosemarie Ungricht Switzerland 12 615 1.0× 193 0.4× 43 0.4× 11 0.2× 26 0.7× 14 695
Stéphane Frémont France 11 294 0.5× 268 0.5× 23 0.2× 20 0.3× 79 2.0× 14 518
Ben P. Phillips United Kingdom 9 378 0.6× 328 0.6× 51 0.5× 29 0.5× 41 1.0× 10 507
Asher Castiel Israel 12 414 0.7× 248 0.5× 105 1.1× 76 1.3× 27 0.7× 16 598
Silvia Monzani Italy 9 525 0.9× 424 0.8× 27 0.3× 115 1.9× 11 0.3× 9 661
Max E. Douglas United Kingdom 10 602 1.0× 252 0.5× 102 1.0× 70 1.2× 9 0.2× 13 681
Bethany S. Strunk United States 11 783 1.3× 128 0.2× 78 0.8× 59 1.0× 54 1.4× 12 916

Countries citing papers authored by Steven M. Markus

Since Specialization
Citations

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

Fields of papers citing papers by Steven M. Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven M. Markus

This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Markus. A scholar is included among the top collaborators of Steven M. Markus 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 M. Markus. Steven M. Markus 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.
Chai, Pengxin, et al.. (2026). A nucleotide code governs Lis1’s ability to relieve dynein autoinhibition. Nature Chemical Biology. 1 indexed citations
2.
Chai, Pengxin, et al.. (2025). The mechanochemical cycle of reactive full-length human dynein 1. Nature Structural & Molecular Biology. 32(8). 1383–1395. 5 indexed citations
3.
Takada, Mamoru, Hideyuki Yamada, Takeshi Nagashima, et al.. (2025). Inhibition of p38-MK2 pathway enhances the efficacy of microtubule inhibitors in breast cancer cells. eLife. 13.
4.
Markus, Steven M.. (2025). Microtubule motors of opposite polarity cooperate rather than compete in cargo transport. Nature Structural & Molecular Biology. 32(4). 595–597.
5.
Wang, Yue, et al.. (2023). Microtubule-binding-induced allostery triggers LIS1 dissociation from dynein prior to cargo transport. Nature Structural & Molecular Biology. 30(9). 1365–1379. 11 indexed citations
6.
Verhey, Kristen J., et al.. (2023). Zn2+ decoration of microtubules arrests axonal transport and displaces tau, doublecortin, and MAP2C. The Journal of Cell Biology. 222(8). 3 indexed citations
7.
DeLuca, Keith F., et al.. (2023). The role of kinetochore dynein in checkpoint silencing is restricted to disassembly of the corona. Molecular Biology of the Cell. 34(7). ar76–ar76. 3 indexed citations
8.
Okada, Kyoko, et al.. (2023). Conserved roles for the dynein intermediate chain and Ndel1 in assembly and activation of dynein. Nature Communications. 14(1). 5833–5833. 12 indexed citations
9.
Denarier, Éric, Adrien Favier, Eileen O’Toole, et al.. (2021). Modeling a disease-correlated tubulin mutation in budding yeast reveals insight into MAP-mediated dynein function. Molecular Biology of the Cell. 32(20). ar10–ar10. 10 indexed citations
10.
Markus, Steven M., et al.. (2020). Pac1/LIS1 stabilizes an uninhibited conformation of dynein to coordinate its localization and activity. Nature Cell Biology. 22(5). 559–569. 56 indexed citations
11.
Morisaki, Tatsuya, et al.. (2017). She1 affects dynein through direct interactions with the microtubule and the dynein microtubule-binding domain. Nature Communications. 8(1). 2151–2151. 16 indexed citations
12.
Heasley, Lydia R., Steven M. Markus, & Jennifer G. DeLuca. (2017). “Wait anaphase” signals are not confined to the mitotic spindle. Molecular Biology of the Cell. 28(9). 1186–1194. 7 indexed citations
13.
Markus, Steven M., et al.. (2015). Improved Plasmids for Fluorescent Protein Tagging of Microtubules in Saccharomyces cerevisiae. Traffic. 16(7). 773–786. 40 indexed citations
14.
Markus, Steven M., et al.. (2012). Astral microtubule asymmetry provides directional cues for spindle positioning in budding yeast. Experimental Cell Research. 318(12). 1400–1406. 21 indexed citations
15.
Markus, Steven M., et al.. (2011). Quantitative analysis of Pac1/LIS1‐mediated dynein targeting: Implications for regulation of dynein activity in budding yeast. Cytoskeleton. 68(3). 157–174. 46 indexed citations
16.
Markus, Steven M. & Wei‐Lih Lee. (2011). Regulated Offloading of Cytoplasmic Dynein from Microtubule Plus Ends to the Cortex. Developmental Cell. 20(5). 639–651. 74 indexed citations
17.
Markus, Steven M. & Wei‐Lih Lee. (2011). Microtubule-dependent path to the cell cortex for cytoplasmic dynein in mitotic spindle orientation. PubMed. 1(5). 209–215. 24 indexed citations
18.
Markus, Steven M., et al.. (2009). Motor- and Tail-Dependent Targeting of Dynein to Microtubule Plus Ends and the Cell Cortex. Current Biology. 19(3). 196–205. 84 indexed citations
19.
Vorvis, Christina, Steven M. Markus, & Wei‐Lih Lee. (2008). Photoactivatable GFP tagging cassettes for protein‐tracking studies in the budding yeast Saccharomyces cerevisiae. Yeast. 25(9). 651–659. 19 indexed citations
20.
Markus, Steven M., Samir S. Taneja, Susan K. Logan, et al.. (2002). Identification and Characterization of ART-27, a Novel Coactivator for the Androgen Receptor N Terminus. Molecular Biology of the Cell. 13(2). 670–682. 75 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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