Tai-Yun Kim
- Molecular Biology
- Cancer Research
- Artificial Intelligence
- Physiology
- Computer Vision and Pattern Recognition
- Co-authors
- Pengyi YangJean YangHani Jieun KimYingxin LinAndy WangDavid E. JamesDi XiaoThomas A. Geddes
- Topics
- Metabolomics and Mass Spectrometry Studies (6 papers)Single-cell and spatial transcriptomics (5 papers)Advanced Proteomics Techniques and Applications (5 papers)
- Partner nations
- AustraliaSouth KoreaFrance
In The Last Decade
Tai-Yun Kim
25 papers receiving 353 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 237
- Cancer Research 40
- Artificial Intelligence 40
- Physiology 38
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Tai-Yun Kim
This map shows the geographic impact of Tai-Yun 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 Tai-Yun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai-Yun Kim more than expected).
Fields of papers citing papers by Tai-Yun Kim
This network shows the impact of papers produced by Tai-Yun 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 Tai-Yun Kim. The network helps show where Tai-Yun Kim may publish in the future.
Co-authorship network of co-authors of Tai-Yun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tai-Yun Kim. A scholar is included among the top collaborators of Tai-Yun 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 Tai-Yun Kim. Tai-Yun 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 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 28 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 61 | |
| 9 | 20 | |
| 10 | 37 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | The Design and Implementation of the SRTPIO Module for a Real-time Multimedia Data Transport | 0 |
| 18 | Design and Implementation of a Secure E-Mail System for Electronic Commerce Information Exchange | 0 |
| 19 | Temporary Mobile User Certificate for Mobile Information Services in UMTS (Special Issue on Personal, Indoor and Mobile Radio Communications) | 2 |
| 20 | 2 |
About Tai-Yun Kim
Tai-Yun Kim is a scholar working on Human-Computer Interaction, Spectroscopy and Hardware and Architecture, having authored 29 papers that have together received 369 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Single-cell and spatial transcriptomics (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Biophysics (27 citations), Molecular Biology (237 citations) and Cancer Research (40 citations). Tai-Yun Kim has collaborated with scholars based in Australia, South Korea and France. Frequent co-authors include Pengyi Yang, Jean Yang, Hani Jieun Kim, Yingxin Lin, Andy Wang, David E. James, Di Xiao, Thomas A. Geddes, Nolan J. Hoffman and Sean J. Humphrey. Their work appears in journals such as Nature Communications, Bioinformatics and BMC Bioinformatics.
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.