Joshua W. Modell

6.7k total citations · 1 hit paper
16 papers, 4.6k citations indexed

About

Joshua W. Modell is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Joshua W. Modell has authored 16 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Ecology. Recurrent topics in Joshua W. Modell's work include CRISPR and Genetic Engineering (10 papers), Insect symbiosis and bacterial influences (4 papers) and Bacteriophages and microbial interactions (4 papers). Joshua W. Modell is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Insect symbiosis and bacterial influences (4 papers) and Bacteriophages and microbial interactions (4 papers). Joshua W. Modell collaborates with scholars based in United States, France and Germany. Joshua W. Modell's co-authors include Kenneth N. Ross, Michael Reich, Steven A. Carr, Guo Wei, Haley Hieronymus, Irene C. Blat, Todd R. Golub, Justin Lamb, Eric S. Lander and Scott A. Armstrong and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Joshua W. Modell

16 papers receiving 4.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

2006 3.7k citations Justin Lamb, Emily Crawford et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua W. Modell United States	13	3.5k	1.2k	557	491	422	16	4.6k
Sune Pletscher-Frankild Denmark	15	4.4k 1.2×	563 0.5×	481 0.9×	800 1.6×	488 1.2×	17	6.1k
Mickaël Guedj France	23	2.2k 0.6×	362 0.3×	435 0.8×	413 0.8×	342 0.8×	54	4.0k
Gil Stelzer Israel	15	2.6k 0.7×	414 0.4×	575 1.0×	620 1.3×	318 0.8×	23	4.5k
Marc Legeay France	3	3.3k 0.9×	379 0.3×	461 0.8×	876 1.8×	453 1.1×	6	5.3k
Michal Twik Israel	8	2.8k 0.8×	460 0.4×	706 1.3×	682 1.4×	319 0.8×	8	4.8k
Tieliu Shi China	32	3.4k 1.0×	356 0.3×	594 1.1×	718 1.5×	434 1.0×	150	4.9k
Kengo Kinoshita Japan	35	3.8k 1.1×	410 0.4×	500 0.9×	262 0.5×	259 0.6×	157	4.9k
Yuri Nikolsky United States	34	2.3k 0.6×	633 0.5×	331 0.6×	595 1.2×	622 1.5×	55	3.6k
Mikaela Koutrouli Denmark	5	2.2k 0.6×	245 0.2×	355 0.6×	463 0.9×	303 0.7×	12	3.9k
Natarajan Kannan United States	37	3.2k 0.9×	338 0.3×	289 0.5×	258 0.5×	455 1.1×	124	4.4k

Countries citing papers authored by Joshua W. Modell

Since Specialization

Citations

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

Fields of papers citing papers by Joshua W. Modell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua W. Modell. 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 Joshua W. Modell. The network helps show where Joshua W. Modell may publish in the future.

Co-authorship network of co-authors of Joshua W. Modell

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua W. Modell. A scholar is included among the top collaborators of Joshua W. Modell 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 Joshua W. Modell. Joshua W. Modell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Euler, Chad W., et al.. (2025). Bacteria exploit viral dormancy to establish CRISPR-Cas immunity. Cell Host & Microbe. 33(3). 330–340.e6. 2 indexed citations

Workman, Rachael E., et al.. (2024). A dynamic subpopulation of CRISPR–Cas overexpressers allows Streptococcus pyogenes to rapidly respond to phage. Nature Microbiology. 9(9). 2410–2421. 7 indexed citations

Workman, Rachael E., et al.. (2024). Anti-CRISPR proteins trigger a burst of CRISPR-Cas9 expression that enhances phage defense. Cell Reports. 43(3). 113849–113849. 13 indexed citations

Varble, Andrew, et al.. (2022). Cleavage of viral DNA by restriction endonucleases stimulates the type II CRISPR-Cas immune response. Molecular Cell. 82(5). 907–919.e7. 41 indexed citations

Gozzi, Kevin, Ngat T. Tran, Joshua W. Modell, Tung B. K. Le, & Michael T. Laub. (2022). Prophage-like gene transfer agents promote Caulobacter crescentus survival and DNA repair during stationary phase. PLoS Biology. 20(11). e3001790–e3001790. 14 indexed citations

McGinn, Jon, et al.. (2021). Viral recombination systems limit CRISPR-Cas targeting through the generation of escape mutations. Cell Host & Microbe. 29(10). 1482–1495.e12. 14 indexed citations

Workman, Rachael E., et al.. (2021). A natural single-guide RNA repurposes Cas9 to autoregulate CRISPR-Cas expression. Cell. 184(3). 675–688.e19. 52 indexed citations

Modell, Joshua W., Wenyan Jiang, & Luciano A. Marraffini. (2017). CRISPR–Cas systems exploit viral DNA injection to establish and maintain adaptive immunity. Nature. 544(7648). 101–104. 109 indexed citations

Goldberg, Gregory W., Elizabeth A. McMillan, Andrew Varble, et al.. (2017). Incomplete prophage tolerance by type III-A CRISPR-Cas systems reduces the fitness of lysogenic hosts. Nature Communications. 9(1). 61–61. 31 indexed citations

10.

Modell, Joshua W., et al.. (2016). A DNA Damage-Induced, SOS-Independent Checkpoint Regulates Cell Division in <i>Caulobacter crescentus</i>. Figshare. 76 indexed citations

11.

Heler, Robert, Poulami Samai, Joshua W. Modell, et al.. (2015). Cas9 specifies functional viral targets during CRISPR–Cas adaptation. Nature. 519(7542). 199–202. 301 indexed citations

12.

Modell, Joshua W., et al.. (2014). A DNA Damage-Induced, SOS-Independent Checkpoint Regulates Cell Division in Caulobacter crescentus. PLoS Biology. 12(10). e1001977–e1001977. 47 indexed citations

13.

Modell, Joshua W., Alexander C. Hopkins, & Michael T. Laub. (2011). A DNA damage checkpoint in Caulobacter crescentus inhibits cell division through a direct interaction with FtsW. Genes & Development. 25(12). 1328–1343. 97 indexed citations

14.

Modell, Joshua W. & Cynthia A. Bradham. (2011). Mitochondrial gradients and p38 activity in early sea urchin embryos. Molecular Reproduction and Development. 78(4). 225–225. 2 indexed citations

15.

Bradham, Cynthia A., Catherine M. Oikonomou, Alexander Kühn, et al.. (2009). Chordin is required for neural but not axial development in sea urchin embryos. Developmental Biology. 328(2). 221–233. 58 indexed citations

16.

Lamb, Justin, Emily Crawford, D. D. Peck, et al.. (2006). The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease. Science. 313(5795). 1929–1935. 3714 indexed citations breakdown →

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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