Josh Lawrimore

1.0k total citations
25 papers, 713 citations indexed

About

Josh Lawrimore is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Josh Lawrimore has authored 25 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Cell Biology and 9 papers in Plant Science. Recurrent topics in Josh Lawrimore's work include Genomics and Chromatin Dynamics (20 papers), Microtubule and mitosis dynamics (10 papers) and Chromosomal and Genetic Variations (8 papers). Josh Lawrimore is often cited by papers focused on Genomics and Chromatin Dynamics (20 papers), Microtubule and mitosis dynamics (10 papers) and Chromosomal and Genetic Variations (8 papers). Josh Lawrimore collaborates with scholars based in United States, China and France. Josh Lawrimore's co-authors include Kerry Bloom, Edward D. Salmon, Elaine Yeh, Paula A. Vásquez, M. Gregory Forest, Barbara Friedman, David Adalsteinsson, Jolien S. Verdaasdonk, Caitlin Hult and Russell M. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Josh Lawrimore

25 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josh Lawrimore United States 15 623 302 205 60 48 25 713
Jolien S. Verdaasdonk United States 9 421 0.7× 212 0.7× 184 0.9× 43 0.7× 26 0.5× 10 515
Irina Tikhonenko United States 13 517 0.8× 577 1.9× 109 0.5× 32 0.5× 26 0.5× 21 632
Jeffrey N. Molk United States 8 570 0.9× 530 1.8× 175 0.9× 30 0.5× 15 0.3× 8 660
Dani L. Bodor Portugal 8 569 0.9× 319 1.1× 416 2.0× 22 0.4× 79 1.6× 10 706
Julian Haase United States 19 899 1.4× 659 2.2× 435 2.1× 61 1.0× 41 0.9× 28 1.1k
Dajun Sang United States 6 361 0.6× 105 0.3× 196 1.0× 24 0.4× 56 1.2× 9 559
Jonathan J. Wong United States 5 402 0.6× 443 1.5× 103 0.5× 38 0.6× 12 0.3× 6 541
Virginie Hachet Switzerland 8 428 0.7× 325 1.1× 69 0.3× 23 0.4× 89 1.9× 8 500
Johannes Nuebler United States 8 1.1k 1.7× 85 0.3× 371 1.8× 21 0.3× 106 2.2× 11 1.1k
Michal Skružný Germany 14 413 0.7× 224 0.7× 61 0.3× 38 0.6× 14 0.3× 16 513

Countries citing papers authored by Josh Lawrimore

Since Specialization
Citations

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

Fields of papers citing papers by Josh Lawrimore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josh Lawrimore. 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 Josh Lawrimore. The network helps show where Josh Lawrimore may publish in the future.

Co-authorship network of co-authors of Josh Lawrimore

This figure shows the co-authorship network connecting the top 25 collaborators of Josh Lawrimore. A scholar is included among the top collaborators of Josh Lawrimore 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 Josh Lawrimore. Josh Lawrimore 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.
Locatelli, Maëlle, Josh Lawrimore, Hua Lin, et al.. (2022). DNA damage reduces heterogeneity and coherence of chromatin motions. Proceedings of the National Academy of Sciences. 119(29). e2205166119–e2205166119. 9 indexed citations
2.
Lawrimore, Josh & Kerry Bloom. (2022). Shaping centromeres to resist mitotic spindle forces. Journal of Cell Science. 135(4). 21 indexed citations
3.
Adalsteinsson, David, et al.. (2022). Simulating Dynamic Chromosome Compaction: Methods for Bridging In Silico to In Vivo. Methods in molecular biology. 2415. 211–220. 3 indexed citations
4.
Lawrimore, Josh, et al.. (2021). The rDNA is biomolecular condensate formed by polymer–polymer phase separation and is sequestered in the nucleolus by transcription and R-loops. Nucleic Acids Research. 49(8). 4586–4598. 29 indexed citations
5.
Locatelli, Maëlle, Josh Lawrimore, Mengdi Zhang, et al.. (2021). Performance of deep learning restoration methods for the extraction of particle dynamics in noisy microscopy image sequences. Molecular Biology of the Cell. 32(9). 903–914. 9 indexed citations
6.
7.
Lawrimore, Josh, et al.. (2020). Polymer perspective of genome mobilization. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 821. 111706–111706. 5 indexed citations
8.
Walker, Benjamin L., Dane Taylor, Josh Lawrimore, et al.. (2019). Transient crosslinking kinetics optimize gene cluster interactions. PLoS Computational Biology. 15(8). e1007124–e1007124. 10 indexed citations
9.
Lawrimore, Josh, et al.. (2019). Three-Dimensional Thermodynamic Simulation of Condensin as a DNA-Based Translocase. Methods in molecular biology. 291–318. 1 indexed citations
10.
Lawrimore, Josh & Kerry Bloom. (2019). The regulation of chromosome segregation via centromere loops. Critical Reviews in Biochemistry and Molecular Biology. 54(4). 352–370. 23 indexed citations
11.
Lawrimore, Josh, et al.. (2019). AI-Assisted Forward Modeling of Biological Structures. Frontiers in Cell and Developmental Biology. 7. 279–279. 4 indexed citations
12.
Lawrimore, Josh, et al.. (2018). Geometric partitioning of cohesin and condensin is a consequence of chromatin loops. Molecular Biology of the Cell. 29(22). 2737–2750. 15 indexed citations
13.
Lawrimore, Josh, et al.. (2017). RotoStep: A Chromosome Dynamics Simulator Reveals Mechanisms of Loop Extrusion. Cold Spring Harbor Symposia on Quantitative Biology. 82. 101–109. 19 indexed citations
14.
Hult, Caitlin, David Adalsteinsson, Paula A. Vásquez, et al.. (2017). Enrichment of dynamic chromosomal crosslinks drive phase separation of the nucleolus. Nucleic Acids Research. 45(19). 11159–11173. 57 indexed citations
15.
Lawrimore, Josh, et al.. (2017). Microtubule dynamics drive enhanced chromatin motion and mobilize telomeres in response to DNA damage. Molecular Biology of the Cell. 28(12). 1701–1711. 62 indexed citations
16.
Ohkuni, Kentaro, Yoshimitsu Takahashi, Josh Lawrimore, et al.. (2016). SUMO-targeted ubiquitin ligase (STUbL) Slx5 regulates proteolysis of centromeric histone H3 variant Cse4 and prevents its mislocalization to euchromatin. Molecular Biology of the Cell. 27(9). 1500–1510. 61 indexed citations
17.
Vásquez, Paula A., Caitlin Hult, David Adalsteinsson, et al.. (2016). Entropy gives rise to topologically associating domains. Nucleic Acids Research. 44(12). 5540–5549. 30 indexed citations
18.
Lawrimore, Josh, Joseph K. Aicher, Leandra Vicci, et al.. (2015). ChromoShake: a chromosome dynamics simulator reveals that chromatin loops stiffen centromeric chromatin. Molecular Biology of the Cell. 27(1). 153–166. 34 indexed citations
19.
Verdaasdonk, Jolien S., Josh Lawrimore, & Kerry Bloom. (2014). Determining absolute protein numbers by quantitative fluorescence microscopy. Methods in cell biology. 123. 347–365. 39 indexed citations
20.
Joglekar, Ajit P., et al.. (2013). A Sensitized Emission Based Calibration of FRET Efficiency for Probing the Architecture of Macromolecular Machines. Cellular and Molecular Bioengineering. 6(4). 369–382. 13 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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