Jue D. Wang
Impact in
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- DNA Repair Mechanisms 14
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 7
- Bacterial biofilms and quorum sensing 5
- Protein Structure and Dynamics 4
- Genetics 38
- Bacterial Genetics and Biotechnology 37
- Co-authors
- Anjana Srivatsan (4 shared papers)Alan D. Grossman (5 shared papers)Ashley K. Tehranchi (8 shared papers)Petra Anne Levin (3 shared papers)Kuanqing Liu (7 shared papers)Alycia N. Bittner (4 shared papers)Glenn M. Sanders (1 shared paper)Rui Chen (2 shared papers)
- Journals
- mBio (5 papers)Journal of Bacteriology (5 papers)Current Opinion in Microbiology (4 papers)eLife (4 papers)Molecular Cell (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jue D. Wang
56 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 115
- Genetics 2.0k
- Molecular Medicine 349
- Endocrinology 220
- Molecular Biology 2.8k
- Ecology 757
Countries citing papers authored by Jue D. Wang
This map shows the geographic impact of Jue D. Wang'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 Jue D. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jue D. Wang more than expected).
Fields of papers citing papers by Jue D. Wang
This network shows the impact of papers produced by Jue D. Wang. 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 Jue D. Wang. The network helps show where Jue D. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jue D. Wang, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 304 | |
| 2 | 2007 | 231 | |
| 3 | 2012 | 229 | |
| 4 | 2009 | 222 | |
| 5 | 2008 | 182 | |
| 6 | 2012 | 166 | |
| 7 | 2010 | 151 | |
| 8 | 2015 | 145 | |
| 9 | 2010 | 128 | |
| 10 | 2002 | 116 | |
| 11 | 2019 | 114 | |
| 12 | 2016 | 104 | |
| 13 | 2013 | 102 | |
| 14 | 2017 | 102 | |
| 15 | 2007 | 92 | |
| 16 | 2013 | 82 | |
| 17 | 2006 | 81 | |
| 18 | 2015 | 80 | |
| 19 | 2015 | 79 | |
| 20 | 2013 | 72 |
About Jue D. Wang
Jue D. Wang is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Infectious Diseases, having authored 57 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), Enzyme Structure and Function (18 papers), Bacteriophages and microbial interactions (15 papers), DNA Repair Mechanisms (14 papers), CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (7 papers), Bacterial biofilms and quorum sensing (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Genetics (2.0k citations), Molecular Medicine (349 citations), Endocrinology (220 citations), Molecular Biology (2.8k citations) and Ecology (757 citations). Jue D. Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Anjana Srivatsan, Alan D. Grossman, Ashley K. Tehranchi, Petra Anne Levin, Kuanqing Liu, Alycia N. Bittner, Glenn M. Sanders, Rui Chen, Yan Zhang and Christophe Herman. Their work appears in journals such as mBio, Journal of Bacteriology, Current Opinion in Microbiology, eLife and Molecular Cell.
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.