Tae-Hun Kim
- Molecular Biology
- Genetics top 5%
- Cancer Research top 10%
- Epidemiology
- Animal Science and Zoology top 5%
- Co-authors
- Deok‐Kun OhKyung‐Tai LeeKyung‐Chul ShinAe Nim PaeDajeong LimSisi WangJian WuSenthil Kumar Venugopal
- Topics
- Genetic and phenotypic traits in livestock (24 papers)Genetic Mapping and Diversity in Plants and Animals (16 papers)Advanced biosensing and bioanalysis techniques (9 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Tae-Hun Kim
99 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 595
- Genetics 442
- Cancer Research 251
- Epidemiology 132
- Animal Science and Zoology 122
Countries citing papers authored by Tae-Hun Kim
This map shows the geographic impact of Tae-Hun Kim'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 Tae-Hun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Hun Kim more than expected).
Fields of papers citing papers by Tae-Hun Kim
This network shows the impact of papers produced by Tae-Hun Kim. 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 Tae-Hun Kim. The network helps show where Tae-Hun Kim may publish in the future.
Co-authorship network of co-authors of Tae-Hun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Hun Kim. A scholar is included among the top collaborators of Tae-Hun Kim 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 Tae-Hun Kim. Tae-Hun Kim 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 | 0 | |
| 3 | 5 | |
| 4 | 45 | |
| 5 | 3 | |
| 6 | 33 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 48 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 32 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | Seroprevalence of Dogs with Dirofilaria immitis, Anaplasma phagocytophilum, Borrelia burgdorferi and Ehrlichia canis Infection in the Daejeon City and Kangwon Province | 1 |
| 18 | Polymerization of Contact Lens Materials Using Silicone | 0 |
| 19 | 10 | |
| 20 | Sporocarp-forming Arbuscular Mycorrhizal Fungi, Glomus spp. in Forest Soils of Korea | 4 |
About Tae-Hun Kim
Tae-Hun Kim is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (24 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Cancer Research (251 citations), Genetics (442 citations) and Animal Science and Zoology (122 citations). Tae-Hun Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Deok‐Kun Oh, Kyung‐Tai Lee, Kyung‐Chul Shin, Ae Nim Pae, Dajeong Lim, Sisi Wang, Jian Wu, Senthil Kumar Venugopal, Natalie J. Török and Yong Li. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Journal of Agricultural and Food Chemistry.
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.