Sun-Young An
Impact in
- Biotechnology top 5%
- Microbial Metabolism and Applications
Papers in
-
- Genomics and Phylogenetic Studies 11
- Identification and Quantification in Food 4
- Ecology 9
- Bacteriophages and microbial interactions 6
- Microbial Community Ecology and Physiology 4
- Co-authors
- Akira Yokota (13 shared papers)Hiroaki Kasai (7 shared papers)Keiichi Goto (7 shared papers)Carl D. Langefeld (8 shared papers)Donald W. Bowden (8 shared papers)Young‐Su Cho (3 shared papers)Young‐Choon Lee (3 shared papers)Mika Asahara (3 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (8 papers)The Journal of General and Applied Microbiology (5 papers)Obesity (2 papers)Human Molecular Genetics (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Sun-Young An
27 papers receiving 840 citations
Peers
Comparison fields: 5 of 101
- Biotechnology 136
- Microbiology 7
- Nephrology 57
- Ecology 178
- Genetics 164
Countries citing papers authored by Sun-Young An
This map shows the geographic impact of Sun-Young An'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 Sun-Young An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun-Young An more than expected).
Fields of papers citing papers by Sun-Young An
This network shows the impact of papers produced by Sun-Young An. 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 Sun-Young An. The network helps show where Sun-Young An may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun-Young An, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 158 | |
| 2 | 2010 | 120 | |
| 3 | 2010 | 64 | |
| 4 | 2007 | 62 | |
| 5 | 2010 | 61 | |
| 6 | 2007 | 48 | |
| 7 | 2012 | 44 | |
| 8 | 2009 | 35 | |
| 9 | 2009 | 31 | |
| 10 | 2007 | 27 | |
| 11 | 2008 | 25 | |
| 12 | 2009 | 25 | |
| 13 | 2007 | 23 | |
| 14 | 2007 | 22 | |
| 15 | 2012 | 21 | |
| 16 | 2024 | 20 | |
| 17 | 2007 | 18 | |
| 18 | 2012 | 14 | |
| 19 | 2013 | 10 | |
| 20 | 2010 | 10 |
About Sun-Young An
Sun-Young An is a scholar working on Molecular Biology, Ecology, Epidemiology, Plant Science and Genetics, having authored 27 papers that have together received 871 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Bacteriophages and microbial interactions (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Identification and Quantification in Food (4 papers), Microbial Community Ecology and Physiology (4 papers), Genetic Associations and Epidemiology (4 papers), Plant Pathogens and Fungal Diseases (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Biotechnology (136 citations), Microbiology (7 citations), Nephrology (57 citations), Ecology (178 citations) and Genetics (164 citations). Sun-Young An has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Akira Yokota, Hiroaki Kasai, Keiichi Goto, Carl D. Langefeld, Donald W. Bowden, Young‐Su Cho, Young‐Choon Lee, Mika Asahara, In–Ho Cha and Yong‐Lark Choi. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, The Journal of General and Applied Microbiology, Obesity, Human Molecular Genetics and Molecular Genetics and Metabolism.
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.