Suckjoon Jun
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
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- Advanced Physical and Chemical Molecular Interactions
- Electrostatics and Colloid Interactions
Papers in
- Genetics 28
- Bacterial Genetics and Biotechnology 28
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- Advanced Physical and Chemical Molecular Interactions 4
- Electrostatics and Colloid Interactions 4
- Co-authors
- Andrew Wright (2 shared papers)Bela M. Mulder (2 shared papers)John T. Sauls (12 shared papers)James F. Pelletier (3 shared papers)Sattar Taheri-Araghi (5 shared papers)Bae‐Yeun Ha (7 shared papers)Lydia Robert (1 shared paper)François Taddéi (1 shared paper)
- Journals
- Current Biology (6 papers)Proceedings of the National Academy of Sciences (4 papers)Biophysical Journal (3 papers)Physical Review Letters (2 papers)eLife (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Suckjoon Jun
42 papers receiving 3.5k citations
Suckjoon Jun's Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 1.5k
- Physical and Theoretical Chemistry 352
- Aging 45
- Molecular Biology 1.6k
- Biophysics 171
Countries citing papers authored by Suckjoon Jun
This map shows the geographic impact of Suckjoon Jun'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 Suckjoon Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suckjoon Jun more than expected).
Fields of papers citing papers by Suckjoon Jun
This network shows the impact of papers produced by Suckjoon Jun. 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 Suckjoon Jun. The network helps show where Suckjoon Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Suckjoon Jun, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust Growth of Escherichia coli Hit paper breakdown → | 2010 | 730 |
| 2 | Cell-Size Control and Homeostasis in Bacteria Hit paper breakdown → | 2014 | 507 |
| 3 | 2006 | 324 | |
| 4 | 2010 | 177 | |
| 5 | 2017 | 168 | |
| 6 | 2012 | 165 | |
| 7 | 2019 | 160 | |
| 8 | 2014 | 109 | |
| 9 | 2004 | 102 | |
| 10 | 2014 | 88 | |
| 11 | 2016 | 82 | |
| 12 | 2008 | 77 | |
| 13 | 2011 | 71 | |
| 14 | 2002 | 66 | |
| 15 | 2007 | 65 | |
| 16 | 2015 | 64 | |
| 17 | 2007 | 58 | |
| 18 | 2005 | 57 | |
| 19 | 2016 | 53 | |
| 20 | 2002 | 52 |
About Suckjoon Jun
Suckjoon Jun is a scholar working on Genetics, Physical and Theoretical Chemistry, Molecular Biology, Condensed Matter Physics and Biophysics, having authored 44 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (28 papers), Genomics and Chromatin Dynamics (10 papers), Gene Regulatory Network Analysis (8 papers), Advanced Physical and Chemical Molecular Interactions (4 papers), Electrostatics and Colloid Interactions (4 papers), Theoretical and Computational Physics (4 papers), Stochastic processes and statistical mechanics (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Genetics (1.5k citations), Physical and Theoretical Chemistry (352 citations), Aging (45 citations), Molecular Biology (1.6k citations) and Biophysics (171 citations). Suckjoon Jun has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Andrew Wright, Bela M. Mulder, John T. Sauls, James F. Pelletier, Sattar Taheri-Araghi, Bae‐Yeun Ha, Lydia Robert, François Taddéi, Wei Dang and Petra Anne Levin. Their work appears in journals such as Current Biology, Proceedings of the National Academy of Sciences, Biophysical Journal, Physical Review Letters and eLife.
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.