Dong‐Guk Shin
- Otorhinolaryngology top 5%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 17
- Gene expression and cancer classification 15
- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 7
- Genomics and Phylogenetic Studies 6
- Genomics and Chromatin Dynamics 6
- Gene Regulatory Network Analysis 6
- Periodontics top 5%
- Genetics top 10%
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- Advanced Database Systems and Queries 7
- Co-authors
- Pujan JoshiSeung-Hyun HongDouglas J. AdamsCharles GiardinaDavid W. RoweCassandra A. GodmanIvo KalajzićHsin‐Wei Wang
- Partner nations
- United StatesSouth KoreaFinland
In The Last Decade
Dong‐Guk Shin
57 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Otorhinolaryngology 77
- Molecular Biology 786
- Periodontics 49
- Genetics 106
- Cancer Research 142
Countries citing papers authored by Dong‐Guk Shin
This map shows the geographic impact of Dong‐Guk Shin'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 Dong‐Guk Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Guk Shin more than expected).
Fields of papers citing papers by Dong‐Guk Shin
This network shows the impact of papers produced by Dong‐Guk Shin. 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 Dong‐Guk Shin. The network helps show where Dong‐Guk Shin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong‐Guk Shin, 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 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 0 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 33 | |
| 10 | Chemotherapy-induced oral mucositis is associated with detrimental bacterial dysbiosisbreakdown → | 2019 | 185 |
| 11 | 2018 | 38 | |
| 12 | 2018 | 22 | |
| 13 | 2017 | 14 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 80 | |
| 16 | 2013 | 96 | |
| 17 | 2009 | 95 | |
| 18 | 2000 | 36 | |
| 19 | A context-sensitive discretization of numeric attributes for classification learning | 1994 | 8 |
| 20 | An Extension of a First-Order Language and Its Applications (Many-Sorted Logic, Distributed Database Design, Resolution, Automatic Theorem Proving, Horizontal Partitioning). | 1985 | 3 |
About Dong‐Guk Shin
Dong‐Guk Shin is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (15 papers), Epigenetics and DNA Methylation (8 papers), Advanced Database Systems and Queries (7 papers), RNA modifications and cancer (7 papers), Genomics and Phylogenetic Studies (6 papers), Genomics and Chromatin Dynamics (6 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Otorhinolaryngology (77 citations), Molecular Biology (786 citations) and Periodontics (49 citations). Dong‐Guk Shin has collaborated with scholars based in United States, South Korea and Finland. Frequent co-authors include Pujan Joshi, Seung-Hyun Hong, Douglas J. Adams, Charles Giardina, David W. Rowe, Cassandra A. Godman, Ivo Kalajzić, Hsin‐Wei Wang, Lawrence E. Hightower and George A. Perdrizet. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell and 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.