Jonathan E. Dworkin
Impact in
- Genetics top 1%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
- Co-authors
- Ishita M. Shah (6 shared papers)Douglas A. Higgins (1 shared paper)Maria-Halima Laaberki (4 shared papers)Richard M. Losick (3 shared papers)Sandro F. F. Pereira (3 shared papers)Michael B. Elowitz (3 shared papers)Goran Jovanović (4 shared papers)Peter Model (4 shared papers)
- Journals
- Journal of Bacteriology (12 papers)Molecular Microbiology (5 papers)Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)Current Biology (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jonathan E. Dworkin
69 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 141
- Genetics 1.9k
- Molecular Medicine 259
- Endocrinology 241
- Ecology 1.1k
- Molecular Biology 2.5k
Countries citing papers authored by Jonathan E. Dworkin
This map shows the geographic impact of Jonathan E. 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 E. 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 E. Dworkin more than expected).
Fields of papers citing papers by Jonathan E. Dworkin
This network shows the impact of papers produced by Jonathan E. 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 E. Dworkin. The network helps show where Jonathan E. Dworkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Dworkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 411 | |
| 2 | 2011 | 402 | |
| 3 | 2007 | 374 | |
| 4 | 2011 | 294 | |
| 5 | 1997 | 177 | |
| 6 | 2010 | 169 | |
| 7 | 2009 | 110 | |
| 8 | 2015 | 108 | |
| 9 | 2002 | 106 | |
| 10 | 2005 | 91 | |
| 11 | 2008 | 86 | |
| 12 | 2011 | 86 | |
| 13 | 2000 | 81 | |
| 14 | 2012 | 81 | |
| 15 | 2008 | 79 | |
| 16 | 2014 | 72 | |
| 17 | 2015 | 68 | |
| 18 | 2020 | 68 | |
| 19 | 2010 | 67 | |
| 20 | 2001 | 65 |
About Jonathan E. Dworkin
Jonathan E. Dworkin is a scholar working on Genetics, Ecology, Molecular Biology, Endocrinology and Aging, having authored 70 papers that have together received 4.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (43 papers), Bacteriophages and microbial interactions (24 papers), RNA and protein synthesis mechanisms (18 papers), Enzyme Structure and Function (11 papers), Genomics and Phylogenetic Studies (7 papers), Gene Regulatory Network Analysis (5 papers), Bacillus and Francisella bacterial research (5 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Genetics (1.9k citations), Molecular Medicine (259 citations), Endocrinology (241 citations), Ecology (1.1k citations) and Molecular Biology (2.5k citations). Jonathan E. Dworkin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ishita M. Shah, Douglas A. Higgins, Maria-Halima Laaberki, Richard M. Losick, Sandro F. F. Pereira, Michael B. Elowitz, Goran Jovanović, Peter Model, David L. Popham and Jordi Garcia-Ojalvo. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Cell, Proceedings of the National Academy of Sciences and Current Biology.
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.