Atsunori Oga
- Molecular Biology top 10%
- Oncology top 5%
- Surgery top 5%
- Cancer Research top 5%
- Genetics top 5%
- Co-authors
- Kohsuke SasakiShigeto KawauchiTomoko FuruyaHideyasu MatsuyamaYoshiaki YamamotoKatsusuke NaitoYutaka SuehiroKiwamu Okita
- Topics
- Genomic variations and chromosomal abnormalities (36 papers)Cancer Genomics and Diagnostics (23 papers)Genetic factors in colorectal cancer (22 papers)
- Partner nations
- JapanSouth KoreaChina
In The Last Decade
Atsunori Oga
114 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.1k
- Oncology 929
- Surgery 687
- Cancer Research 580
- Genetics 448
Countries citing papers authored by Atsunori Oga
This map shows the geographic impact of Atsunori Oga'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 Atsunori Oga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsunori Oga more than expected).
Fields of papers citing papers by Atsunori Oga
This network shows the impact of papers produced by Atsunori Oga. 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 Atsunori Oga. The network helps show where Atsunori Oga may publish in the future.
Co-authorship network of co-authors of Atsunori Oga
This figure shows the co-authorship network connecting the top 25 collaborators of Atsunori Oga. A scholar is included among the top collaborators of Atsunori Oga 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 Atsunori Oga. Atsunori Oga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 128 | |
| 2 | 32 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | The Development of a Variable Threshold Analysis Method to Identify Clones Linked the Clinicopathological Features in an Array-Based CGH- Its Application to Colorectal Cancer | 1 |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 25 | |
| 12 | The Development of a Novel Method for the Classification of the aCGH Profiles Based on Genomic Alterations | 2 |
| 13 | 41 | |
| 14 | 80 | |
| 15 | 38 | |
| 16 | 41 | |
| 17 | 32 | |
| 18 | 10 | |
| 19 | 57 | |
| 20 | 41 |
About Atsunori Oga
Atsunori Oga is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 117 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (36 papers), Cancer Genomics and Diagnostics (23 papers) and Genetic factors in colorectal cancer (22 papers). The work is most often cited by research in Cancer Research (580 citations), Oncology (929 citations) and Pathology and Forensic Medicine (410 citations). Atsunori Oga has collaborated with scholars based in Japan, South Korea and China. Frequent co-authors include Kohsuke Sasaki, Shigeto Kawauchi, Tomoko Furuya, Hideyasu Matsuyama, Yoshiaki Yamamoto, Katsusuke Naito, Yutaka Suehiro, Kiwamu Okita, Akira Tangoku and Noriyoshi Kusano. Their work appears in journals such as Cancer, Scientific Reports and Clinical Cancer Research.
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.