Suckjoon Jun
- Genetics top 1%
- Bacterial Genetics and Biotechnology 23
- Evolution and Genetic Dynamics 5
- Molecular Biology top 5%
- Protein Structure and Dynamics 7
- Gene Regulatory Network Analysis 7
- DNA Repair Mechanisms 6
- Microbial Metabolic Engineering and Bioproduction 4
- Biophysics top 1%
- Endocrinology top 5%
- Aging top 5%
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- Bacteriophages and microbial interactions 9
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- Nanopore and Nanochannel Transport Studies 4
- Co-authors
- Andrew WrightBela M. MulderJohn T. SaulsJames F. PelletierBae‐Yeun HaSattar Taheri-AraghiWei DangFrançois Taddéi
- Cited by
- GeneticsMolecular BiologyBiophysics
- Journals
- Current Biology (5 papers)Proceedings of the National Academy of Sciences (5 papers)Physical Review Letters (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Suckjoon Jun
40 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 1.6k
- Molecular Biology 2.4k
- Biophysics 199
- Endocrinology 154
- Aging 48
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 10 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 37 | |
| 7 | 2019 | 145 | |
| 8 | 2019 | 39 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 46 | |
| 11 | 2014 | 98 | |
| 12 | Cell-Size Control and Homeostasis in Bacteriabreakdown → | 2014 | 463 |
| 13 | 2014 | 96 | |
| 14 | Robust Growth of Escherichia colibreakdown → | 2010 | 671 |
| 15 | 2008 | 74 | |
| 16 | 2006 | 307 | |
| 17 | 2005 | 39 | |
| 18 | 2005 | 53 | |
| 19 | 2004 | 94 | |
| 20 | 2004 | 40 |
About Suckjoon Jun
Suckjoon Jun is a scholar working on Genetics, Biophysics and Molecular Biology, having authored 40 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (23 papers), Bacteriophages and microbial interactions (9 papers), Protein Structure and Dynamics (7 papers), Gene Regulatory Network Analysis (7 papers), DNA Repair Mechanisms (6 papers), Evolution and Genetic Dynamics (5 papers), Nanopore and Nanochannel Transport Studies (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Genetics (1.6k citations), Molecular Biology (2.4k citations) and Biophysics (199 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, Bae‐Yeun Ha, Sattar Taheri-Araghi, Wei Dang, François Taddéi, Ping Wang and Lydia Robert. Their work appears in journals such as Current Biology, Proceedings of the National Academy of Sciences, Physical Review Letters, eLife and Biophysical Journal.
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.