Jeong Sun Yang
- Infectious Diseases top 5%
- Animal Science and Zoology top 2%
- Genetics top 10%
- Health, Toxicology and Mutagenesis top 10%
- Molecular Biology
- Co-authors
- Dae Sub SongYong‐Suk JangHae‐Kwan CheongSeong‐Kyu KangJames A. FerrettiHan Sang YooSiv Osterman-GolkarKlaus Gawrisch
- Topics
- Animal Virus Infections Studies (8 papers)Viral gastroenteritis research and epidemiology (7 papers)Virus-based gene therapy research (7 papers)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Jeong Sun Yang
26 papers receiving 578 citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 261
- Animal Science and Zoology 257
- Genetics 179
- Health, Toxicology and Mutagenesis 128
- Molecular Biology 57
Countries citing papers authored by Jeong Sun Yang
This map shows the geographic impact of Jeong Sun 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 Jeong Sun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong Sun Yang more than expected).
Fields of papers citing papers by Jeong Sun Yang
This network shows the impact of papers produced by Jeong Sun 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 Jeong Sun Yang. The network helps show where Jeong Sun Yang may publish in the future.
Co-authorship network of co-authors of Jeong Sun Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Sun Yang. A scholar is included among the top collaborators of Jeong Sun Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeong Sun Yang. Jeong Sun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | In Vivo Micronucleus Test of Methylcyclopentane and 1,4-Dichlorobutane | 2 |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 91 | |
| 5 | 70 | |
| 6 | 40 | |
| 7 | 13 | |
| 8 | 13 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 49 | |
| 12 | 9 | |
| 13 | Increase in signal intensities on T1-weighted magnetic resonance images in asymptomatic manganese-exposed workers. | 102 |
| 14 | 26 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Determination of blood lead concentration by the atomic absorption spectrometry with graphite furnace-Comparison of blood lead concentration between occupationally exposed workers and control group | 1 |
| 20 | 62 |
About Jeong Sun Yang
Jeong Sun Yang is a scholar working on Chemical Health and Safety, Animal Science and Zoology and Health, Toxicology and Mutagenesis, having authored 27 papers that have together received 597 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Viral gastroenteritis research and epidemiology (7 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Animal Science and Zoology (257 citations), Infectious Diseases (261 citations) and Chemical Health and Safety (7 citations). Jeong Sun Yang has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Dae Sub Song, Yong‐Suk Jang, Hae‐Kwan Cheong, Seong‐Kyu Kang, James A. Ferretti, Han Sang Yoo, Siv Osterman-Golkar, Klaus Gawrisch, L. D. Bergel'son and Bo-Kyu Kang. Their work appears in journals such as The Science of The Total Environment, Biochemistry and Analytical Biochemistry.
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.