Sunkyu Kim
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
Papers in
-
- Antimicrobial Peptides and Activities 5
Sunkyu Kim
68 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Health Informatics 315
- Artificial Intelligence 3.0k
- Cancer Research 1.1k
- Molecular Biology 4.0k
- Oncology 1.2k
Countries citing papers authored by Sunkyu Kim
This map shows the geographic impact of Sunkyu 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 Sunkyu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunkyu Kim more than expected).
Fields of papers citing papers by Sunkyu Kim
This network shows the impact of papers produced by Sunkyu 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 Sunkyu Kim. The network helps show where Sunkyu Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunkyu 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 | 2024 | 36 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 32 | |
| 9 | 2016 | 57 | |
| 10 | 2016 | 67 | |
| 11 | 2014 | 98 | |
| 12 | 2013 | 308 | |
| 13 | An F876L Mutation in Androgen Receptor Confers Genetic and Phenotypic Resistance to MDV3100 (Enzalutamide) Hit paper breakdown → | 2013 | 425 |
| 14 | 2006 | 104 | |
| 15 | Application of Decision Tree for the Classification of Antimicrobial Peptide | 2004 | 2 |
| 16 | 2003 | 22 | |
| 17 | 2002 | 60 | |
| 18 | 2001 | 11 | |
| 19 | Deregulation of Glucose Transporter 1 and Glycolytic Gene Expression by c-Myc Hit paper breakdown → | 2000 | 702 |
| 20 | 1999 | 316 |
About Sunkyu Kim
Sunkyu Kim is a scholar working on Health Informatics, Microbiology, Aging, Genetics and Oncology, having authored 76 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (7 papers), Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (6 papers), Cancer-related Molecular Pathways (6 papers), Antimicrobial Peptides and Activities (5 papers), Computational Drug Discovery Methods (5 papers), RNA modifications and cancer (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Health Informatics (315 citations), Artificial Intelligence (3.0k citations), Cancer Research (1.1k citations), Molecular Biology (4.0k citations) and Oncology (1.2k citations). Sunkyu Kim has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Jaewoo Kang, Donghyeon Kim, Jinhyuk Lee, Sungdong Kim, Wonjin Yoon, Chi V. Dang, Qing Li, Linda A. Lee, Diane R. Wonsey and Hyunsuk Shim. Their work appears in journals such as Bioinformatics, Blood, Journal of Biological Chemistry, Cancer Research and Clinical Cancer Research.
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.