Ho Sup Yoon
- Molecular Biology top 1%
- Oncology top 2%
- Immunology top 2%
- Cell Biology top 2%
- Biomedical Engineering top 5%
- Co-authors
- Stephen W. FesikJohn E. HarlanDavid G. NettesheimRobert MeadowsPhilip J. HajdukHeng LiangMichael SattlerCraig B. Thompson
- Topics
- Signaling Pathways in Disease (29 papers)RNA Interference and Gene Delivery (22 papers)Cell death mechanisms and regulation (20 papers)
- Partner nations
- SingaporeSouth KoreaUnited States
In The Last Decade
Ho Sup Yoon
127 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 5.9k
- Oncology 1.0k
- Immunology 982
- Cell Biology 750
- Biomedical Engineering 640
Countries citing papers authored by Ho Sup Yoon
This map shows the geographic impact of Ho Sup Yoon'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 Ho Sup Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ho Sup Yoon more than expected).
Fields of papers citing papers by Ho Sup Yoon
This network shows the impact of papers produced by Ho Sup Yoon. 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 Ho Sup Yoon. The network helps show where Ho Sup Yoon may publish in the future.
Co-authorship network of co-authors of Ho Sup Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Ho Sup Yoon. A scholar is included among the top collaborators of Ho Sup Yoon 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 Ho Sup Yoon. Ho Sup Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 18 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 38 | |
| 12 | 31 | |
| 13 | Performance analysis of GCC-PHAT-based sound source localization for intelligent robots | 2 |
| 14 | FKBP38 works as a novel link between cell death and cell cycle through the ROS-mediated damages on the mitochondrial membrane potential | 1 |
| 15 | 3 | |
| 16 | Molecular and structural characterization of the domain 2 of hepatitis C virus non-structural protein 5A. | 18 |
| 17 | 5 | |
| 18 | 95 | |
| 19 | The specificity and catalytic properties of alu I methylase | 1 |
| 20 | Identification of Integrated Hepatitis B Virus DNA in Human Hepatocellular Cell Line and in Liver Tissues from a Korean Patient with Hepatocellular Carcinoma | 1 |
About Ho Sup Yoon
Ho Sup Yoon is a scholar working on Molecular Biology, Immunology and Oncology, having authored 129 papers that have together received 7.7k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (29 papers), RNA Interference and Gene Delivery (22 papers) and Cell death mechanisms and regulation (20 papers). The work is most often cited by research in Molecular Biology (5.9k citations), Immunology (982 citations) and Cell Biology (750 citations). Ho Sup Yoon has collaborated with scholars based in Singapore, South Korea and United States. Frequent co-authors include Stephen W. Fesik, John E. Harlan, David G. Nettesheim, Robert Meadows, Philip J. Hajduk, Heng Liang, Michael Sattler, Craig B. Thompson, Brian S. Chang and CongBao Kang. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.