Tomoko Furuya
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Surgery top 10%
- Genetics top 10%
- Co-authors
- Kohsuke SasakiShigeto KawauchiAtsunori OgaHideyasu MatsuyamaYoshiaki YamamotoKatsusuke NaitoYasuyo ChochiMasaaki Oka
- Topics
- Genomic variations and chromosomal abnormalities (27 papers)Cancer Genomics and Diagnostics (17 papers)Genetic factors in colorectal cancer (13 papers)
- Cited by
- Cancer ResearchOncologyCell Biology
- Partner nations
- JapanSouth KoreaChina
In The Last Decade
Tomoko Furuya
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 922
- Oncology 550
- Cancer Research 459
- Surgery 367
- Genetics 290
Countries citing papers authored by Tomoko Furuya
This map shows the geographic impact of Tomoko Furuya'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 Tomoko Furuya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Furuya more than expected).
Fields of papers citing papers by Tomoko Furuya
This network shows the impact of papers produced by Tomoko Furuya. 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 Tomoko Furuya. The network helps show where Tomoko Furuya may publish in the future.
Co-authorship network of co-authors of Tomoko Furuya
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Furuya. A scholar is included among the top collaborators of Tomoko Furuya 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 Tomoko Furuya. Tomoko Furuya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 78 | |
| 4 | 130 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 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 |
| 9 | 5 | |
| 10 | 31 | |
| 11 | 2 | |
| 12 | The Development of a Novel Method for the Classification of the aCGH Profiles Based on Genomic Alterations | 2 |
| 13 | 12 | |
| 14 | 80 | |
| 15 | 38 | |
| 16 | 32 | |
| 17 | 10 | |
| 18 | 27 | |
| 19 | 57 | |
| 20 | 17 |
About Tomoko Furuya
Tomoko Furuya is a scholar working on Cancer Research, Genetics and Oncology, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (27 papers), Cancer Genomics and Diagnostics (17 papers) and Genetic factors in colorectal cancer (13 papers). The work is most often cited by research in Cancer Research (459 citations), Oncology (550 citations) and Cell Biology (251 citations). Tomoko Furuya has collaborated with scholars based in Japan, South Korea and China. Frequent co-authors include Kohsuke Sasaki, Shigeto Kawauchi, Atsunori Oga, Hideyasu Matsuyama, Yoshiaki Yamamoto, Katsusuke Naito, Yasuyo Chochi, Masaaki Oka, Takashi Hirano and Akira Tangoku. Their work appears in journals such as Nature Communications, Cancer 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.