San‐Duk Yang
Impact in
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- Cancer Genomics and Diagnostics
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- Autism Spectrum Disorder Research
Papers in
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- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Microbial Metabolic Engineering and Bioproduction 2
- CRISPR and Genetic Engineering 1
- Biomedical Text Mining and Ontologies 1
- Gene Regulatory Network Analysis 1
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Woong Ju (3 shared papers)Hye Youn Sung (3 shared papers)Martha R. Herbert (1 shared paper)Stephen G. Kahler (1 shared paper)Jasmin Roohi (1 shared paper)Eli Hatchwell (1 shared paper)John Russo (1 shared paper)Mark F. Blaxill (1 shared paper)
- Journals
- Virus Genes (1 paper)The American Journal of Human Genetics (1 paper)Clinical Cancer Research (1 paper)Nature Communications (1 paper)Experimental & Molecular Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
San‐Duk Yang
18 papers receiving 485 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 73
- Cognitive Neuroscience 95
- Oncology 113
- Psychiatry and Mental health 61
- Genetics 116
Countries citing papers authored by San‐Duk Yang
This map shows the geographic impact of San‐Duk Yang'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 San‐Duk Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San‐Duk Yang more than expected).
Fields of papers citing papers by San‐Duk Yang
This network shows the impact of papers produced by San‐Duk Yang. 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 San‐Duk Yang. The network helps show where San‐Duk Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside San‐Duk Yang, 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 | 2006 | 133 | |
| 2 | 2021 | 107 | |
| 3 | 2017 | 70 | |
| 4 | 2011 | 50 | |
| 5 | 2017 | 49 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 19 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2015 | 11 | |
| 11 | 2021 | 6 | |
| 12 | 2010 | 3 | |
| 13 | 2008 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2009 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 |
About San‐Duk Yang
San‐Duk Yang is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Epidemiology, having authored 18 papers that have together received 507 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Epigenetics and DNA Methylation (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), CRISPR and Genetic Engineering (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Cancer Research (73 citations), Cognitive Neuroscience (95 citations), Oncology (113 citations), Psychiatry and Mental health (61 citations) and Genetics (116 citations). San‐Duk Yang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Woong Ju, Hye Youn Sung, Martha R. Herbert, Stephen G. Kahler, Jasmin Roohi, Eli Hatchwell, John Russo, Mark F. Blaxill, Jung‐Hyuck Ahn and Jong‐Il Kim. Their work appears in journals such as Virus Genes, The American Journal of Human Genetics, Clinical Cancer Research, Nature Communications and Experimental & Molecular Medicine.
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.