Yuya Kobayashi
- Genetics top 2%
- Genomics and Rare Diseases 10
- BRCA gene mutations in cancer 5
- Genomic variations and chromosomal abnormalities 5
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 6
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- Genetic factors in colorectal cancer 4
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- Biomedical Text Mining and Ontologies 4
- Machine Learning in Bioinformatics 1
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- Epilepsy research and treatment 2
- Co-authors
- Stephen E. LincolnKeith NykampScott TopperMichael J. AndersonShan YangJohn GarciaMeredith MillsAllison W. Kurian
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of the Physical Society of Japan (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Yuya Kobayashi
14 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Genetics 1.1k
- Cancer Research 428
- Pathology and Forensic Medicine 342
- Molecular Biology 552
- Oncology 208
Countries citing papers authored by Yuya Kobayashi
This map shows the geographic impact of Yuya Kobayashi'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 Yuya Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuya Kobayashi more than expected).
Fields of papers citing papers by Yuya Kobayashi
This network shows the impact of papers produced by Yuya Kobayashi. 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 Yuya Kobayashi. The network helps show where Yuya Kobayashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuya Kobayashi, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 28 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 72 | |
| 8 | 2019 | 0 | |
| 9 | 2017 | 129 | |
| 10 | Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteriabreakdown → | 2017 | 465 |
| 11 | 2017 | 22 | |
| 12 | 2017 | 68 | |
| 13 | 2017 | 6 | |
| 14 | 2017 | 1 | |
| 15 | 2015 | 146 | |
| 16 | 2015 | 243 | |
| 17 | 2014 | 346 |
About Yuya Kobayashi
Yuya Kobayashi is a scholar working on Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (10 papers), Cancer Genomics and Diagnostics (6 papers), BRCA gene mutations in cancer (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Biomedical Text Mining and Ontologies (4 papers), Genetic factors in colorectal cancer (4 papers), Epilepsy research and treatment (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Genetics (1.1k citations), Cancer Research (428 citations) and Pathology and Forensic Medicine (342 citations). Yuya Kobayashi has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Stephen E. Lincoln, Keith Nykamp, Scott Topper, Michael J. Anderson, Shan Yang, John Garcia, Meredith Mills, Allison W. Kurian, James M. Ford and Nila Patil. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the Physical Society of Japan.
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.