Jonathan Dworkin

5.1k total citations
66 papers, 3.8k citations indexed

About

Jonathan Dworkin is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jonathan Dworkin has authored 66 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 45 papers in Genetics and 25 papers in Ecology. Recurrent topics in Jonathan Dworkin's work include Bacterial Genetics and Biotechnology (44 papers), Bacteriophages and microbial interactions (22 papers) and RNA and protein synthesis mechanisms (20 papers). Jonathan Dworkin is often cited by papers focused on Bacterial Genetics and Biotechnology (44 papers), Bacteriophages and microbial interactions (22 papers) and RNA and protein synthesis mechanisms (20 papers). Jonathan Dworkin collaborates with scholars based in United States, United Kingdom and Italy. Jonathan Dworkin's co-authors include Ishita M. Shah, Douglas A. Higgins, Maria-Halima Laaberki, Richard Losick, Peter Model, Sandro F. F. Pereira, Goran Jovanović, Michael B. Elowitz, David L. Popham and Rajan P. Kulkarni and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jonathan Dworkin

66 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Dworkin United States 31 2.6k 1.9k 1.1k 433 310 66 3.8k
Richard A. Daniel United Kingdom 33 2.9k 1.1× 2.8k 1.5× 1.7k 1.6× 412 1.0× 385 1.2× 52 4.3k
Sigal Ben‐Yehuda Israel 32 3.1k 1.2× 1.9k 1.0× 1.6k 1.5× 249 0.6× 435 1.4× 54 4.3k
Christophe Grangeasse France 39 2.5k 1.0× 1.3k 0.7× 898 0.8× 389 0.9× 226 0.7× 92 3.8k
Philippe Noirot France 34 2.4k 0.9× 1.7k 0.9× 755 0.7× 184 0.4× 320 1.0× 53 3.2k
Philippe Bouloc France 31 2.4k 0.9× 1.7k 0.9× 839 0.8× 430 1.0× 122 0.4× 73 3.3k
Shoshy Altuvia Israel 32 3.5k 1.4× 2.4k 1.3× 1.5k 1.4× 311 0.7× 271 0.9× 50 4.6k
Vasili Hauryliuk Sweden 35 3.1k 1.2× 1.7k 0.9× 821 0.8× 425 1.0× 190 0.6× 92 4.3k
Petra Anne Levin United States 39 3.4k 1.3× 3.0k 1.6× 1.7k 1.6× 205 0.5× 402 1.3× 66 4.9k
Ding Jun Jin United States 32 2.6k 1.0× 1.9k 1.0× 860 0.8× 279 0.6× 158 0.5× 69 3.5k
Mark J. van Raaij Spain 36 2.7k 1.1× 1.1k 0.6× 1.6k 1.5× 646 1.5× 210 0.7× 111 4.0k

Countries citing papers authored by Jonathan Dworkin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Dworkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Dworkin

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Dworkin. A scholar is included among the top collaborators of Jonathan Dworkin 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 Jonathan Dworkin. Jonathan Dworkin 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.
Dworkin, Jonathan, et al.. (2025). Disrupting NtrC function reveals unexpected robustness in a central cell cycle regulatory network. mBio. 16(9). e0196225–e0196225. 1 indexed citations
2.
Huemer, Markus, Srikanth Mairpady Shambat, Sandro F. F. Pereira, et al.. (2023). Serine-threonine phosphoregulation by PknB and Stp contributes to quiescence and antibiotic tolerance in Staphylococcus aureus. Science Signaling. 16(766). eabj8194–eabj8194. 11 indexed citations
3.
DeLay, Michael, Xi Chen, Ahmet-Hamdi Cavusoglu, et al.. (2023). Hydration solids. Nature. 619(7970). 500–505. 12 indexed citations
4.
Nygaard, Rie, Meagan Belcher Dufrisne, Khuram U. Ashraf, et al.. (2023). Structural basis of peptidoglycan synthesis by E. coli RodA-PBP2 complex. Nature Communications. 14(1). 5151–5151. 17 indexed citations
5.
Dworkin, Jonathan, et al.. (2020). Bioluminescence dynamics in single germinating bacterial spores reveal metabolic heterogeneity. Journal of The Royal Society Interface. 17(170). 20200350–20200350. 4 indexed citations
6.
Caban, Kelvin, et al.. (2020). The alarmones (p)ppGpp directly regulate translation initiation during entry into quiescence. Proceedings of the National Academy of Sciences. 117(27). 15565–15572. 62 indexed citations
7.
Feaga, Heather A., et al.. (2019). Clickable methionine as a universal probe for labelling intracellular bacteria. Journal of Microbiological Methods. 169. 105812–105812. 5 indexed citations
8.
Rajagopalan, Krithika, et al.. (2018). Identification and Biochemical Characterization of a Novel Protein Phosphatase 2C-Like Ser/Thr Phosphatase in Escherichia coli. Journal of Bacteriology. 200(18). 16 indexed citations
9.
Dworkin, Jonathan, et al.. (2017). Habits of Highly Effective Biofilms: Ion Signaling. Molecular Cell. 66(6). 733–734. 4 indexed citations
10.
Dworkin, Jonathan & Ishita M. Shah. (2010). Exit from dormancy in microbial organisms. Nature Reviews Microbiology. 8(12). 890–896. 155 indexed citations
11.
Fay, Allison & Jonathan Dworkin. (2009). Bacillus subtilis Homologs of MviN (MurJ), the Putative Escherichia coli Lipid II Flippase, Are Not Essential for Growth. Journal of Bacteriology. 191(19). 6020–6028. 36 indexed citations
12.
Shah, Ishita M. & Jonathan Dworkin. (2009). Microbial Interactions: Bacteria Talk to (Some of) Their Neighbors. Current Biology. 19(16). R689–R691. 2 indexed citations
13.
Dworkin, Jonathan. (2009). Cellular Polarity in Prokaryotic Organisms. Cold Spring Harbor Perspectives in Biology. 1(6). a003368–a003368. 44 indexed citations
14.
Laaberki, Maria-Halima & Jonathan Dworkin. (2008). Death and survival of spore-forming bacteria in the Caenorhabditis elegans intestine. Symbiosis. 46(2). 95–100. 12 indexed citations
15.
Guberman, Jonathan M., Allison Fay, Jonathan Dworkin, Ned S. Wingreen, & Zemer Gitai. (2008). PSICIC: Noise and Asymmetry in Bacterial Division Revealed by Computational Image Analysis at Sub-Pixel Resolution. PLoS Computational Biology. 4(11). e1000233–e1000233. 83 indexed citations
16.
Shah, Ishita M., Maria-Halima Laaberki, David L. Popham, & Jonathan Dworkin. (2008). A Eukaryotic-like Ser/Thr Kinase Signals Bacteria to Exit Dormancy in Response to Peptidoglycan Fragments. Cell. 135(3). 486–496. 390 indexed citations
17.
Süel, Gürol M., Rajan P. Kulkarni, Jonathan Dworkin, Jordi García‐Ojalvo, & Michael B. Elowitz. (2007). Tunability and Noise Dependence in Differentiation Dynamics. Science. 315(5819). 1716–1719. 356 indexed citations
18.
Dworkin, Jonathan & Richard Losick. (2005). Developmental Commitment in a Bacterium. Cell. 121(3). 401–409. 82 indexed citations
19.
Dworkin, Jonathan. (2003). Transient genetic asymmetry and cell fate in a bacterium. Trends in Genetics. 19(2). 107–112. 16 indexed citations
20.
Dworkin, Jonathan & Richard Losick. (2002). Does RNA polymerase help drive chromosome segregation in bacteria?. Proceedings of the National Academy of Sciences. 99(22). 14089–14094. 107 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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