Jeong‐Hun Kang
- Health, Toxicology and Mutagenesis top 0.5%
- Molecular Biology top 5%
- Pollution top 0.5%
- Biomedical Engineering top 10%
- Genetics top 5%
- Co-authors
- Yoshiki KatayamaFusao KondoMasaharu MurataF. KondoRiki ToitaTakuro NiidomeTakeshi MoriTakahito Kawano
- Topics
- RNA Interference and Gene Delivery (34 papers)Advanced biosensing and bioanalysis techniques (21 papers)Virus-based gene therapy research (18 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Jeong‐Hun Kang
112 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Health, Toxicology and Mutagenesis 1.8k
- Molecular Biology 1.5k
- Pollution 1.1k
- Biomedical Engineering 408
- Genetics 367
Countries citing papers authored by Jeong‐Hun Kang
This map shows the geographic impact of Jeong‐Hun Kang'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‐Hun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong‐Hun Kang more than expected).
Fields of papers citing papers by Jeong‐Hun Kang
This network shows the impact of papers produced by Jeong‐Hun Kang. 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‐Hun Kang. The network helps show where Jeong‐Hun Kang may publish in the future.
Co-authorship network of co-authors of Jeong‐Hun Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Jeong‐Hun Kang. A scholar is included among the top collaborators of Jeong‐Hun Kang 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‐Hun Kang. Jeong‐Hun Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 23 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 45 | |
| 9 | 20 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 79 | |
| 14 | 16 | |
| 15 | 16 | |
| 16 | 32 | |
| 17 | 30 | |
| 18 | 73 | |
| 19 | 101 | |
| 20 | Changes in the titre of free amino acids of the haemolymph during the larval stage of the gypsy moth, Lymantria dispar. | 1 |
About Jeong‐Hun Kang
Jeong‐Hun Kang is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Pollution, having authored 115 papers that have together received 4.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (34 papers), Advanced biosensing and bioanalysis techniques (21 papers) and Virus-based gene therapy research (18 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.8k citations), Pollution (1.1k citations) and Biomaterials (293 citations). Jeong‐Hun Kang has collaborated with scholars based in Japan, Taiwan and Canada. Frequent co-authors include Yoshiki Katayama, Fusao Kondo, Masaharu Murata, F. Kondo, Riki Toita, Takuro Niidome, Takeshi Mori, Takahito Kawano, Jun Oishi and Daisuke Asai. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.
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.