Sung‐Hou Kim
Impact in
- Molecular Biology top 0.2%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Protein Kinase Regulation and GTPase Signaling
- Cell Biology top 0.5%
Papers in
-
- RNA and protein synthesis mechanisms 65
- Protein Structure and Dynamics 39
- DNA and Nucleic Acid Chemistry 35
- RNA modifications and cancer 21
- Genomics and Phylogenetic Studies 17
- Machine Learning in Bioinformatics 16
- Biochemical and Molecular Research 15
-
- Enzyme Structure and Function 66
- Co-authors
- Rosalind KimKyeong Kyu KimStephen R. HolbrookHisao YokotaMichael V. MilburnJarmila JancarikJoel L. SussmanLiang Tong
- Journals
- Proceedings of the National Academy of Sciences (26 papers)Journal of Molecular Biology (24 papers)Proteins Structure Function and Bioinformatics (18 papers)Science (14 papers)Nature (9 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Sung‐Hou Kim
193 papers receiving 15.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 13.4k
- Cell Biology 1.5k
- Oncology 2.0k
- Genetics 1.9k
- Materials Chemistry 2.7k
Countries citing papers authored by Sung‐Hou Kim
This map shows the geographic impact of Sung‐Hou 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 Sung‐Hou Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Hou Kim more than expected).
Fields of papers citing papers by Sung‐Hou Kim
This network shows the impact of papers produced by Sung‐Hou 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 Sung‐Hou Kim. The network helps show where Sung‐Hou Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung‐Hou Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 12 | |
| 2 | 2006 | 44 | |
| 3 | 2006 | 92 | |
| 4 | 2005 | 59 | |
| 5 | 2005 | 22 | |
| 6 | 2004 | 220 | |
| 7 | 2003 | 108 | |
| 8 | 2002 | 128 | |
| 9 | 2001 | 119 | |
| 10 | 2000 | 57 | |
| 11 | 2000 | 42 | |
| 12 | 1997 | 121 | |
| 13 | Predicting protein structural features with artificial neural networks | 1993 | 5 |
| 14 | 1992 | 2 | |
| 15 | 1991 | 71 | |
| 16 | 1990 | 92 | |
| 17 | 1986 | 21 | |
| 18 | Sequential Folding of Transfer RNA. A Nuclear Magnetic Resonance Study of Successively Longer tRNA Fragments with a Common 5’ End | 1980 | 6 |
| 19 | 1979 | 6 | |
| 20 | 1979 | 23 |
About Sung‐Hou Kim
Sung‐Hou Kim is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Genetics and Microbiology, having authored 193 papers that have together received 16.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (66 papers), RNA and protein synthesis mechanisms (65 papers), Protein Structure and Dynamics (39 papers), DNA and Nucleic Acid Chemistry (35 papers), RNA modifications and cancer (21 papers), Genomics and Phylogenetic Studies (17 papers), Machine Learning in Bioinformatics (16 papers) and Biochemical and Molecular Research (15 papers). The work is most often cited by research in Molecular Biology (13.4k citations), Cell Biology (1.5k citations), Oncology (2.0k citations), Genetics (1.9k citations) and Materials Chemistry (2.7k citations). Sung‐Hou Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Rosalind Kim, Kyeong Kyu Kim, Stephen R. Holbrook, Hisao Yokota, Michael V. Milburn, Jarmila Jancarik, Joel L. Sussman, Liang Tong, R. Wade Warrant and Gregory E. Sims. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, Science and Nature.
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.