Timothy J. Stasevich

3.9k total citations
67 papers, 2.7k citations indexed

About

Timothy J. Stasevich is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biophysics. According to data from OpenAlex, Timothy J. Stasevich has authored 67 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 12 papers in Atomic and Molecular Physics, and Optics and 8 papers in Biophysics. Recurrent topics in Timothy J. Stasevich's work include RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (22 papers) and Genomics and Chromatin Dynamics (18 papers). Timothy J. Stasevich is often cited by papers focused on RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (22 papers) and Genomics and Chromatin Dynamics (18 papers). Timothy J. Stasevich collaborates with scholars based in United States, Japan and France. Timothy J. Stasevich's co-authors include James G. McNally, Tatsuya Morisaki, Hiroshi Kimurâ, Florian Mueller, Davide Mazza, Kenneth Lyon, Yoko Hayashi‐Takanaka, Naohito Nozaki, Yuko Sato and T. L. Einstein and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Timothy J. Stasevich

63 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy J. Stasevich United States 25 2.2k 380 174 171 168 67 2.7k
Colin Echeverría Aitken United States 16 1.8k 0.8× 301 0.8× 225 1.3× 108 0.6× 87 0.5× 22 2.1k
David Grünwald United States 25 2.0k 0.9× 776 2.0× 135 0.8× 102 0.6× 130 0.8× 46 2.8k
Timothy D. Craggs United Kingdom 18 2.3k 1.1× 321 0.8× 207 1.2× 129 0.8× 73 0.4× 36 2.7k
Francesco Cardarelli Italy 29 1.8k 0.8× 598 1.6× 282 1.6× 179 1.0× 156 0.9× 97 2.7k
Manuel D. Leonetti United States 20 2.2k 1.0× 296 0.8× 219 1.3× 276 1.6× 69 0.4× 33 2.7k
Florian Mueller France 40 3.7k 1.7× 663 1.7× 476 2.7× 227 1.3× 171 1.0× 74 4.7k
Claire Dugast‐Darzacq United States 15 2.2k 1.0× 515 1.4× 151 0.9× 107 0.6× 126 0.8× 25 2.7k
Felipe Merino Germany 23 1.4k 0.6× 154 0.4× 185 1.1× 440 2.6× 171 1.0× 32 2.2k
Xiao Xie China 17 1.9k 0.9× 340 0.9× 560 3.2× 132 0.8× 80 0.5× 27 2.4k

Countries citing papers authored by Timothy J. Stasevich

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Stasevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy J. Stasevich

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Stasevich. A scholar is included among the top collaborators of Timothy J. Stasevich 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 Timothy J. Stasevich. Timothy J. Stasevich 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.
Morisaki, Tatsuya, Hallie P. Febvre, Soham Ghosh, et al.. (2026). AI-assisted protein design to rapidly convert antibody sequences to intrabodies targeting diverse peptides and histone modifications. Science Advances. 12(1). eadx8352–eadx8352.
2.
Boswell, Curtis W., Caroline Hoppe, Alice Sherrard, et al.. (2025). Genetically encoded affinity reagents are a toolkit for visualizing and manipulating endogenous protein function in vivo. Nature Communications. 16(1). 5503–5503. 1 indexed citations
3.
Morisaki, Tatsuya, et al.. (2023). Live-cell imaging uncovers the relationship between histone acetylation, transcription initiation, and nucleosome mobility. Science Advances. 9(40). eadh4819–eadh4819. 20 indexed citations
4.
Wang, Shaopeng, Daoyuan Dong, B.Dean Nelson, et al.. (2023). Single-molecule imaging reveals distinct elongation and frameshifting dynamics between frames of expanded RNA repeats in C9ORF72-ALS/FTD. Nature Communications. 14(1). 5581–5581. 16 indexed citations
5.
Nakamura, Tsuyoshi, et al.. (2022). A Drosophila toolkit for HA-tagged proteins unveils a block in autophagy flux in the last instar larval fat body. Development. 149(6). 6 indexed citations
6.
7.
Kanemaki, Masato T., Yoshifusa Sadamura, Yuma Ito, et al.. (2021). Visualizing looping of two endogenous genomic loci using synthetic zinc‐finger proteins with anti‐FLAG and anti‐HA frankenbodies in living cells. Genes to Cells. 26(11). 905–926. 20 indexed citations
8.
Handa, Tetsuya, Tatsuya Morisaki, Hiroshi Kimurâ, et al.. (2021). Live-cell imaging reveals the spatiotemporal organization of endogenous RNA polymerase II phosphorylation at a single gene. Nature Communications. 12(1). 3158–3158. 42 indexed citations
9.
Stasevich, Timothy J., et al.. (2021). Bead Loading Proteins and Nucleic Acids into Adherent Human Cells. Journal of Visualized Experiments. 14 indexed citations
10.
Stasevich, Timothy J., et al.. (2021). Bead Loading Proteins and Nucleic Acids into Adherent Human Cells. Journal of Visualized Experiments. 2 indexed citations
11.
Moon, Stephanie L., Tatsuya Morisaki, Timothy J. Stasevich, & Roy Parker. (2020). Coupling of translation quality control and mRNA targeting to stress granules. The Journal of Cell Biology. 219(8). 46 indexed citations
12.
Wiggan, O’Neil, Jennifer G. DeLuca, Timothy J. Stasevich, & James R. Bamburg. (2020). Lamin A/C deficiency enables increased myosin-II bipolar filament ensembles that promote divergent actomyosin network anomalies through self-organization. Molecular Biology of the Cell. 31(21). 2363–2378. 9 indexed citations
13.
Fox, Zachary, et al.. (2019). Computational design and interpretation of single-RNA translation experiments. PLoS Computational Biology. 15(10). e1007425–e1007425. 13 indexed citations
14.
Fox, Philip D., Haruka Oda, Tatsuya Morisaki, et al.. (2019). A genetically encoded probe for imaging nascent and mature HA-tagged proteins in vivo. Nature Communications. 10(1). 2947–2947. 87 indexed citations
15.
Morisaki, Tatsuya, Kenneth Lyon, Keith F. DeLuca, et al.. (2016). Real-time quantification of single RNA translation dynamics in living cells. Science. 352(6292). 1425–1429. 257 indexed citations
16.
Kimura, Akatsuki, Antonio Celani, Hiromichi Nagao, Timothy J. Stasevich, & Kazuyuki Nakamura. (2015). Estimating cellular parameters through optimization procedures: elementary principles and applications. Frontiers in Physiology. 6. 60–60. 8 indexed citations
17.
Stasevich, Timothy J., Yoko Hayashi‐Takanaka, Yuko Sato, et al.. (2014). Regulation of RNA polymerase II activation by histone acetylation in single living cells. Nature. 516(7530). 272–275. 206 indexed citations
18.
Stasevich, Timothy J., et al.. (2010). Cross-Validating FRAP and FCS to Quantify the Impact of Photobleaching on In Vivo Binding Estimates. Biophysical Journal. 99(9). 3093–3101. 70 indexed citations
19.
Man, Michael K. L., et al.. (2008). Step line tension and step morphological evolution on the Si(111)(1×1)surface. Physical Review B. 77(11). 33 indexed citations
20.
Andrus, A., et al.. (1999). Crossover from the exact factor to the Boltzmann factor. American Journal of Physics. 67(6). 508–515. 9 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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