Tae‐Lin Huh
- Molecular Biology top 5%
- Cell Biology top 2%
- Cancer Research top 5%
- Cellular and Molecular Neuroscience top 10%
- Rheumatology top 5%
- Co-authors
- Jeen‐Woo ParkHo‐Jin KohSang‐Yeob YeoByoung J. SongSu Min LeeDong‐Chan ParkCheol‐Hee KimJang‐Soo Chun
- Topics
- Developmental Biology and Gene Regulation (12 papers)Ubiquitin and proteasome pathways (8 papers)Zebrafish Biomedical Research Applications (7 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Tae‐Lin Huh
77 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.7k
- Cell Biology 657
- Cancer Research 448
- Cellular and Molecular Neuroscience 263
- Rheumatology 231
Countries citing papers authored by Tae‐Lin Huh
This map shows the geographic impact of Tae‐Lin Huh'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‐Lin Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐Lin Huh more than expected).
Fields of papers citing papers by Tae‐Lin Huh
This network shows the impact of papers produced by Tae‐Lin Huh. 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‐Lin Huh. The network helps show where Tae‐Lin Huh may publish in the future.
Co-authorship network of co-authors of Tae‐Lin Huh
This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Lin Huh. A scholar is included among the top collaborators of Tae‐Lin Huh 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‐Lin Huh. Tae‐Lin Huh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 47 | |
| 4 | 5 | |
| 5 | 53 | |
| 6 | 40 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 110 | |
| 11 | 10 | |
| 12 | 124 | |
| 13 | 28 | |
| 14 | 26 | |
| 15 | 77 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | Human mitochondrial NAD-specific isocitrate dehydrogenase 3 and subunits: Cloning, tissue specific expression and functional analyses of the recombinant proteins | 1 |
| 19 | 23 | |
| 20 | Development of Substrates for the Production of Basidiocarps of Flammulina velutipes | 5 |
About Tae‐Lin Huh
Tae‐Lin Huh is a scholar working on Clinical Biochemistry, Cell Biology and Molecular Biology, having authored 79 papers that have together received 3.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (12 papers), Ubiquitin and proteasome pathways (8 papers) and Zebrafish Biomedical Research Applications (7 papers). The work is most often cited by research in Developmental Neuroscience (211 citations), Cell Biology (657 citations) and Cancer Research (448 citations). Tae‐Lin Huh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jeen‐Woo Park, Ho‐Jin Koh, Sang‐Yeob Yeo, Byoung J. Song, Su Min Lee, Dong‐Chan Park, Cheol‐Hee Kim, Jang‐Soo Chun, Ajay Chitnis and Chun‐do Oh. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Development.
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.