Marvin E. Tanenbaum

7.1k total citations · 1 hit paper
50 papers, 4.8k citations indexed

About

Marvin E. Tanenbaum is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marvin E. Tanenbaum has authored 50 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 27 papers in Cell Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marvin E. Tanenbaum's work include Microtubule and mitosis dynamics (27 papers), RNA Research and Splicing (15 papers) and RNA and protein synthesis mechanisms (11 papers). Marvin E. Tanenbaum is often cited by papers focused on Microtubule and mitosis dynamics (27 papers), RNA Research and Splicing (15 papers) and RNA and protein synthesis mechanisms (11 papers). Marvin E. Tanenbaum collaborates with scholars based in Netherlands, United States and Switzerland. Marvin E. Tanenbaum's co-authors include Ronald D. Vale, René H. Medema, Jonathan S. Weissman, Luke A. Gilbert, Lei S. Qi, Tim A. Hoek, Richard J. McKenney, Xiaowei Yan, Libor Macůrek and Gira Bhabha and has published in prestigious journals such as Science, Cell and Genes & Development.

In The Last Decade

Marvin E. Tanenbaum

49 papers receiving 4.7k citations

Hit Papers

A Protein-Tagging System for Signal Amplification in Gene... 2014 2026 2018 2022 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marvin E. Tanenbaum Netherlands 30 4.0k 1.9k 421 341 312 50 4.8k
Torsten Wittmann United States 35 3.1k 0.8× 3.1k 1.6× 192 0.5× 440 1.3× 352 1.1× 62 5.0k
Margaret Coughlin United States 24 3.0k 0.8× 2.8k 1.4× 178 0.4× 389 1.1× 332 1.1× 32 4.6k
Arnaud Échard France 36 2.8k 0.7× 3.5k 1.9× 307 0.7× 158 0.5× 226 0.7× 66 4.8k
Simone Reber Germany 19 3.3k 0.8× 2.2k 1.2× 169 0.4× 647 1.9× 267 0.9× 34 4.2k
Kyle J. Roux United States 31 5.6k 1.4× 3.8k 2.0× 387 0.9× 297 0.9× 140 0.4× 65 7.6k
Marie Evangelista United States 29 5.7k 1.4× 2.5k 1.3× 689 1.6× 594 1.7× 412 1.3× 42 7.2k
Michal Jarník United States 32 2.7k 0.7× 1.1k 0.6× 524 1.2× 220 0.6× 167 0.5× 55 4.1k
Valérie Doye France 39 5.2k 1.3× 1.9k 1.0× 268 0.6× 168 0.5× 262 0.8× 60 5.9k
Anna Kashina United States 34 2.7k 0.7× 1.0k 0.5× 295 0.7× 828 2.4× 178 0.6× 93 3.6k
Dae In Kim United States 15 2.7k 0.7× 2.1k 1.1× 263 0.6× 181 0.5× 229 0.7× 29 3.9k

Countries citing papers authored by Marvin E. Tanenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Marvin E. Tanenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marvin E. Tanenbaum. 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 Marvin E. Tanenbaum. The network helps show where Marvin E. Tanenbaum may publish in the future.

Co-authorship network of co-authors of Marvin E. Tanenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin E. Tanenbaum. A scholar is included among the top collaborators of Marvin E. Tanenbaum 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 Marvin E. Tanenbaum. Marvin E. Tanenbaum 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
2.
Vliet, Arno L. W. van, Rana Abdelnabi, Kimberly M. Bonger, et al.. (2025). The multifaceted role of the viral 2A protease in enterovirus replication and antagonism of host antiviral responses. PLoS Pathogens. 21(8). e1013443–e1013443. 1 indexed citations
3.
Scholman, Rianne C., Rupa Banerjee, Michiel van der Vlist, et al.. (2024). m6A Reader YTHDC1 Impairs Respiratory Syncytial Virus Infection by Downregulating Membrane CX3CR1 Expression. Viruses. 16(5). 778–778. 7 indexed citations
4.
Barth, Anders, et al.. (2023). Zero-Mode Waveguide Nanowells for Single-Molecule Detection in Living Cells. ACS Nano. 17(20). 20179–20193. 10 indexed citations
5.
Rabouw, Huib H., et al.. (2023). Antiviral responses are shaped by heterogeneity in viral replication dynamics. Nature Microbiology. 8(11). 2115–2129. 17 indexed citations
6.
Jost, Marco, Yuwen Chen, Luke A. Gilbert, et al.. (2020). Pharmaceutical-Grade Rigosertib Is a Microtubule-Destabilizing Agent. Molecular Cell. 79(1). 191–198.e3. 24 indexed citations
7.
Yan, Xiaowei, Nico Stuurman, Susana A. Ribeiro, et al.. (2020). High-content imaging-based pooled CRISPR screens in mammalian cells. The Journal of Cell Biology. 220(2). 47 indexed citations
8.
Boersma, Sanne, Huib H. Rabouw, Arno L. W. van Vliet, et al.. (2020). Translation and Replication Dynamics of Single RNA Viruses. Cell. 183(7). 1930–1945.e23. 59 indexed citations
9.
Sonneveld, Stijn, Bram M P Verhagen, & Marvin E. Tanenbaum. (2020). Heterogeneity in mRNA Translation. Trends in Cell Biology. 30(8). 606–618. 62 indexed citations
10.
Boersma, Sanne, Deepak Khuperkar, Bram M P Verhagen, et al.. (2019). Multi-Color Single-Molecule Imaging Uncovers Extensive Heterogeneity in mRNA Decoding. Cell. 178(2). 458–472.e19. 122 indexed citations
11.
Reddy, Babu J.N., Suvranta K. Tripathy, Michael Vershinin, et al.. (2017). Heterogeneity in kinesin function. Traffic. 18(10). 658–671. 13 indexed citations
12.
Ruijtenberg, Suzan, Tim A. Hoek, Xiaowei Yan, & Marvin E. Tanenbaum. (2017). Imaging Translation Dynamics of Single mRNA Molecules in Live Cells. Methods in molecular biology. 1649. 385–404. 8 indexed citations
13.
Yan, Xiaowei, Tim A. Hoek, Ronald D. Vale, & Marvin E. Tanenbaum. (2016). Dynamics of Translation of Single mRNA Molecules In Vivo. Cell. 165(4). 976–989. 340 indexed citations
14.
Heesbeen, Roy G. H. P. van, Jonne A. Raaijmakers, Marvin E. Tanenbaum, et al.. (2016). Aurora A, MCAK, and Kif18b promote Eg5-independent spindle formation. Chromosoma. 126(4). 473–486. 30 indexed citations
15.
McKenney, Richard J., Walter Huynh, Marvin E. Tanenbaum, Gira Bhabha, & Ronald D. Vale. (2014). Activation of cytoplasmic dynein motility by dynactin-cargo adapter complexes. Science. 345(6194). 337–341. 398 indexed citations
16.
Tanenbaum, Marvin E., Luke A. Gilbert, Lei S. Qi, Jonathan S. Weissman, & Ronald D. Vale. (2014). A Protein-Tagging System for Signal Amplification in Gene Expression and Fluorescence Imaging. Cell. 159(3). 635–646. 1138 indexed citations breakdown →
17.
Tanenbaum, Marvin E., Libor Macůrek, Babet van der Vaart, et al.. (2011). A Complex of Kif18b and MCAK Promotes Microtubule Depolymerization and Is Negatively Regulated by Aurora Kinases. Current Biology. 21(16). 1356–1365. 107 indexed citations
18.
Tanenbaum, Marvin E., René H. Medema, & Anna Akhmanova. (2011). Regulation of localization and activity of the microtubule depolymerase MCAK. PubMed. 1(2). 80–87. 35 indexed citations
19.
Tanenbaum, Marvin E. & René H. Medema. (2011). Localized Aurora B activity spatially controls non-kinetochore microtubules during spindle assembly. Chromosoma. 120(6). 599–607. 12 indexed citations
20.
Tanenbaum, Marvin E., et al.. (2010). Cyclin G-associated kinase promotes microtubule outgrowth from chromosomes during spindle assembly. Chromosoma. 119(4). 415–424. 24 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026