Sung‐Tae Yang
Impact in
- Microbiology top 0.2%
- Antimicrobial Peptides and Activities
- Virology top 5%
Papers in
-
- Biochemical and Structural Characterization 24
- Lipid Membrane Structure and Behavior 22
- RNA Interference and Gene Delivery 6
- Microbiology 46
- Antimicrobial Peptides and Activities 46
- Co-authors
- Lukas K. Tamm (8 shared papers)Volker Kiessling (8 shared papers)Song Yub Shin (32 shared papers)Jae Il Kim (19 shared papers)Kyung‐Soo Hahm (16 shared papers)Leonid Chernomordik (6 shared papers)Alex J.B. Kreutzberger (3 shared papers)Elena Zaitseva (4 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (7 papers)Biophysical Journal (6 papers)BMB Reports (3 papers)Biochemistry (3 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Sung‐Tae Yang
64 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Microbiology 1.1k
- Virology 134
- Molecular Biology 1.7k
- Immunology 396
- Infectious Diseases 231
Countries citing papers authored by Sung‐Tae Yang
This map shows the geographic impact of Sung‐Tae Yang'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 Sung‐Tae Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Tae Yang more than expected).
Fields of papers citing papers by Sung‐Tae Yang
This network shows the impact of papers produced by Sung‐Tae Yang. 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 Sung‐Tae Yang. The network helps show where Sung‐Tae Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung‐Tae Yang, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 321 | |
| 2 | 2010 | 228 | |
| 3 | 2015 | 163 | |
| 4 | 2016 | 130 | |
| 5 | 2010 | 125 | |
| 6 | 2019 | 104 | |
| 7 | 2003 | 98 | |
| 8 | 2017 | 83 | |
| 9 | 2005 | 76 | |
| 10 | 2012 | 75 | |
| 11 | 2002 | 74 | |
| 12 | 2007 | 69 | |
| 13 | 2020 | 61 | |
| 14 | 2006 | 60 | |
| 15 | 2006 | 59 | |
| 16 | 2008 | 45 | |
| 17 | 2001 | 45 | |
| 18 | 2006 | 45 | |
| 19 | 2004 | 40 | |
| 20 | 2006 | 36 |
About Sung‐Tae Yang
Sung‐Tae Yang is a scholar working on Molecular Biology, Microbiology, Immunology, Pharmacology and Virology, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (46 papers), Biochemical and Structural Characterization (24 papers), Lipid Membrane Structure and Behavior (22 papers), Invertebrate Immune Response Mechanisms (8 papers), Immune Response and Inflammation (7 papers), RNA Interference and Gene Delivery (6 papers), HIV Research and Treatment (5 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Microbiology (1.1k citations), Virology (134 citations), Molecular Biology (1.7k citations), Immunology (396 citations) and Infectious Diseases (231 citations). Sung‐Tae Yang has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Lukas K. Tamm, Volker Kiessling, Song Yub Shin, Jae Il Kim, Kyung‐Soo Hahm, Leonid Chernomordik, Alex J.B. Kreutzberger, Elena Zaitseva, Kamran Melikov and Jinwoo Lee. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biophysical Journal, BMB Reports, Biochemistry and Scientific Reports.
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.