Se‐Ran Jun

38 papers receiving 1.7k citations

Hit Papers

Insights from 20 years of bacterial genome sequencing 2015 · 458 citations
4582015202620182022100200300400

Peers

Se‐Ran Jun
Comparison fields: 5 of 130
  • Molecular Medicine 117
  • Endocrinology 105
  • Molecular Biology 1.1k
  • Ecology 313
  • Food Science 176
Replace Alla Mikheenko with:
Alla Mikheenko Russia
Emanuele Bosi Italy
Takatomo Fujisawa Japan
Sivakumar Kannan United States
Yu-Chieh Liao Taiwan
Cameron L. M. Gilchrist Australia
Eugeni Belda France
Silvia Altabe Argentina
Matteo Brilli Italy
Thidathip Wongsurawat Thailand
Se‐Ran Jun relative to Alla Mikheenko Russia Alla Mikheenko's profile →
Citations per field
00.5×8.3×
Alla Mikheenko · 1×
Citations per year

Countries citing papers authored by Se‐Ran Jun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Se‐Ran Jun Line = papers co-authored together Se‐Ran Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2015458
2 2009278
3 2009120
4 201893
5 201691
6 202090
7 200580
8 200953
9 200950
10 201545
11 201540
12 201538
13 201736
14 201428
15 201826
16 202019
17 202117
18 201717
19 202015
20 202011

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.

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