Moon-Sik Yang
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Biotechnology top 2%
- Transgenic Plants and Applications
Papers in
-
- Plant tissue culture and regeneration 6
- CRISPR and Genetic Engineering 5
- Fungal and yeast genetics research 2
-
- Transgenic Plants and Applications 9
- Co-authors
- Yong-Suk Jang (9 shared papers)Tae-Jin Kang (8 shared papers)Ju Kim (3 shared papers)Hubert Laude (1 shared paper)László Tamás (3 shared papers)Eunha Park (1 shared paper)Taeho Kwon (1 shared paper)Young‐Mi Shin (1 shared paper)
- Journals
- Molecules and Cells (3 papers)Protein Expression and Purification (3 papers)Plant Cell Reports (1 paper)Journal of Biotechnology (1 paper)Vaccine (1 paper)
- Partner nations
- South KoreaHungaryUnited States
In The Last Decade
Moon-Sik Yang
17 papers receiving 657 citations
Peers
Comparison fields: 5 of 45
- Animal Science and Zoology 311
- Biotechnology 255
- Infectious Diseases 325
- Genetics 259
- Molecular Biology 261
Countries citing papers authored by Moon-Sik Yang
This map shows the geographic impact of Moon-Sik 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 Moon-Sik Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moon-Sik Yang more than expected).
Fields of papers citing papers by Moon-Sik Yang
This network shows the impact of papers produced by Moon-Sik 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 Moon-Sik Yang. The network helps show where Moon-Sik Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Moon-Sik 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
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 238 | |
| 2 | 2000 | 72 | |
| 3 | 2006 | 51 | |
| 4 | 2003 | 48 | |
| 5 | 2007 | 41 | |
| 6 | 2009 | 40 | |
| 7 | 2004 | 36 | |
| 8 | 2005 | 34 | |
| 9 | 1997 | 32 | |
| 10 | 2005 | 31 | |
| 11 | 2006 | 21 | |
| 12 | 2016 | 14 | |
| 13 | 2007 | 8 | |
| 14 | 2009 | 5 | |
| 15 | 2010 | 3 | |
| 16 | 1998 | 3 | |
| 17 | 2001 | 1 |
About Moon-Sik Yang
Moon-Sik Yang is a scholar working on Molecular Biology, Biotechnology, Plant Science, Infectious Diseases and Animal Science and Zoology, having authored 17 papers that have together received 678 indexed citations. Recurring topics across this work include Transgenic Plants and Applications (9 papers), Plant tissue culture and regeneration (6 papers), CRISPR and Genetic Engineering (5 papers), Plant Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Animal Science and Zoology (311 citations), Biotechnology (255 citations), Infectious Diseases (325 citations), Genetics (259 citations) and Molecular Biology (261 citations). Moon-Sik Yang has collaborated with scholars based in South Korea, Hungary and United States. Frequent co-authors include Yong-Suk Jang, Tae-Jin Kang, Ju Kim, Hubert Laude, László Tamás, Eunha Park, Taeho Kwon, Young‐Mi Shin, Mi‐Young Kim and Charles J. Arntzen. Their work appears in journals such as Molecules and Cells, Protein Expression and Purification, Plant Cell Reports, Journal of Biotechnology and Vaccine.
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.