Se‐Ran Jun
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in ⓘ
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- Genomics and Phylogenetic Studies 13
- Gut microbiota and health 7
- Machine Learning in Bioinformatics 3
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- Antimicrobial Resistance in Staphylococcus 5
- Co-authors
- Sung‐Hou Kim (5 shared papers)Guohong Wu (4 shared papers)Gregory E. Sims (4 shared papers)David W. Ussery (14 shared papers)Intawat Nookaew (14 shared papers)Loren Hauser (4 shared papers)Ole Lund (3 shared papers)Michael R. Leuze (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)BMC Bioinformatics (2 papers)Scientific Reports (1 paper)FEMS Microbiology Reviews (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- United StatesDenmarkSouth Korea
In The Last Decade
Se‐Ran Jun
38 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Medicine 117
- Endocrinology 105
- Molecular Biology 1.1k
- Ecology 313
- Food Science 176
Countries citing papers authored by Se‐Ran Jun
This map shows the geographic impact of Se‐Ran 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 Se‐Ran Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se‐Ran Jun more than expected).
Fields of papers citing papers by Se‐Ran Jun
This network shows the impact of papers produced by Se‐Ran 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 Se‐Ran Jun. The network helps show where Se‐Ran Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Se‐Ran 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Insights from 20 years of bacterial genome sequencing Hit paper breakdown → | 2015 | 458 |
| 2 | 2009 | 278 | |
| 3 | 2009 | 120 | |
| 4 | 2018 | 93 | |
| 5 | 2016 | 91 | |
| 6 | 2020 | 90 | |
| 7 | 2005 | 80 | |
| 8 | 2009 | 53 | |
| 9 | 2009 | 50 | |
| 10 | 2015 | 45 | |
| 11 | 2015 | 40 | |
| 12 | 2015 | 38 | |
| 13 | 2017 | 36 | |
| 14 | 2014 | 28 | |
| 15 | 2018 | 26 | |
| 16 | 2020 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2017 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 11 |
About Se‐Ran Jun
Se‐Ran Jun is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Epidemiology and Clinical Biochemistry, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Gut microbiota and health (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacteriophages and microbial interactions (4 papers), Machine Learning in Bioinformatics (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Molecular Medicine (117 citations), Endocrinology (105 citations), Molecular Biology (1.1k citations), Ecology (313 citations) and Food Science (176 citations). Se‐Ran Jun has collaborated with scholars based in United States, Denmark and South Korea. Frequent co-authors include Sung‐Hou Kim, Guohong Wu, Gregory E. Sims, David W. Ussery, Intawat Nookaew, Loren Hauser, Ole Lund, Michael R. Leuze, Trudy M. Wassenaar and Miriam Land. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Bioinformatics, Scientific Reports, FEMS Microbiology Reviews and Frontiers in Bioengineering and Biotechnology.
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.