Yuya Kobayashi

2.4k citations
17 papers · 1.5k indexed · 1 hit paper · h-index 9
Topics
Genomics and Rare Diseases (10 papers)Cancer Genomics and Diagnostics (6 papers)BRCA gene mutations in cancer (5 papers)

In The Last Decade

Yuya Kobayashi

14 papers receiving 1.5k citations

Hit Papers

Sherloc: a comprehensive refinement of the ACMG–AMP varia...20172026202020232017100200300400

Peers

Yuya Kobayashi
Comparison fields: 5 of 83
  • Genetics 1.1k
  • Molecular Biology 552
  • Cancer Research 428
  • Pathology and Forensic Medicine 342
  • Oncology 208
Replace Tina Pesaran with:
Tina Pesaran United States
Jan Osinga Netherlands
Emma Tham Sweden
Kelly Gonzalez United States
Carel Meijers Netherlands
Kristiina Avela Finland
Kristina Lagerstedt‐Robinson Sweden
Sara Álvarez Spain
Trisha Dwight Australia
Dina Ruano Netherlands
Yuya Kobayashi relative to Tina Pesaran United States Tina Pesaran's profile →
Citations per field
00.5×2.5×
Tina Pesaran · 1×
Citations per year

Countries citing papers authored by Yuya Kobayashi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yuya Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuya Kobayashi. A scholar is included among the top collaborators of Yuya Kobayashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuya Kobayashi. Yuya Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 3
3 5
4 0
5 28
6 2
7 72
8 0
9 129
10
Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteriabreakdown →
465
11 22
12 68
13 6
14 1
15 146
16 243
17 346

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) and BRCA gene mutations in cancer (5 papers). 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.

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