Wankyu Kim
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Protein Structure and Dynamics
- RNA Research and Splicing
Papers in
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 6
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- Bioinformatics and Genomic Networks 17
- RNA modifications and cancer 9
- Protein Structure and Dynamics 8
- RNA Research and Splicing 4
- Co-authors
- Haeseung LeeKang Ryoung ParkEdward M. MarcotteSanghyuk LeeAndreas HenschelMichael SchroederSangok KimJong Moon Park
- Journals
- Bioinformatics (5 papers)Nature Communications (4 papers)Nucleic Acids Research (3 papers)BMC Bioinformatics (3 papers)PLoS Computational Biology (3 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Wankyu Kim
66 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 558
- Molecular Biology 1.5k
- Signal Processing 155
- Computational Theory and Mathematics 225
- Pathology and Forensic Medicine 191
Countries citing papers authored by Wankyu Kim
This map shows the geographic impact of Wankyu 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 Wankyu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wankyu Kim more than expected).
Fields of papers citing papers by Wankyu Kim
This network shows the impact of papers produced by Wankyu 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 Wankyu Kim. The network helps show where Wankyu Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Wankyu 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 | 16 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 18 | |
| 10 | 2018 | 12 | |
| 11 | 2016 | 82 | |
| 12 | 2013 | 10 | |
| 13 | 2012 | 11 | |
| 14 | 2011 | 76 | |
| 15 | 2011 | 29 | |
| 16 | 2010 | 44 | |
| 17 | 2008 | 60 | |
| 18 | Identification of Disease Specific Protein Interactions between the Gastric Cancer Causing Pathogen, H. pylori, and Human Hosts using Protein Network Modeling and Gene Chip Analysis | 2007 | 3 |
| 19 | 2006 | 94 | |
| 20 | Detailed Survey of Apple and Pear Diseases in Major Fruit Producing Areas of Korea(`88~`92) | 1993 | 5 |
About Wankyu Kim
Wankyu Kim is a scholar working on Cancer Research, Molecular Biology, Computational Theory and Mathematics, Pharmacology and Endocrinology, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), RNA modifications and cancer (9 papers), Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (8 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (4 papers) and Full-Duplex Wireless Communications (4 papers). The work is most often cited by research in Cancer Research (558 citations), Molecular Biology (1.5k citations), Signal Processing (155 citations), Computational Theory and Mathematics (225 citations) and Pathology and Forensic Medicine (191 citations). Wankyu Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Haeseung Lee, Kang Ryoung Park, Edward M. Marcotte, Sanghyuk Lee, Andreas Henschel, Michael Schroeder, Sangok Kim, Jong Moon Park, Jung Keun Suh and Christof Winter. Their work appears in journals such as Bioinformatics, Nature Communications, Nucleic Acids Research, BMC Bioinformatics and PLoS Computational Biology.
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.