Koh Furuta
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Cancer Research top 0.5%
- Surgery top 5%
- Co-authors
- Koji TsutaTakashi KohnoHisao AsamuraTatsuhiro ShibataHitoshi TsudaAkihiko YoshidaYasuhide YamadaIkuo Sekine
- Topics
- Lung Cancer Treatments and Mutations (30 papers)Cancer Genomics and Diagnostics (16 papers)Pancreatic and Hepatic Oncology Research (10 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Koh Furuta
99 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.6k
- Pulmonary and Respiratory Medicine 2.3k
- Oncology 2.2k
- Cancer Research 1.8k
- Surgery 887
Countries citing papers authored by Koh Furuta
This map shows the geographic impact of Koh Furuta'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 Koh Furuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koh Furuta more than expected).
Fields of papers citing papers by Koh Furuta
This network shows the impact of papers produced by Koh Furuta. 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 Koh Furuta. The network helps show where Koh Furuta may publish in the future.
Co-authorship network of co-authors of Koh Furuta
This figure shows the co-authorship network connecting the top 25 collaborators of Koh Furuta. A scholar is included among the top collaborators of Koh Furuta 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 Koh Furuta. Koh Furuta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | [Alternative Splicing Detection as Biomarker Candidates for Cancer Diagnosis and Treatment with Establishment of Clinical Biobank in Chiba University]. | 2 |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 58 | |
| 11 | 8 | |
| 12 | Ultra-sensitive liquid biopsy of circulating extracellular vesicles using ExoScreenbreakdown → | 475 |
| 13 | 204 | |
| 14 | 41 | |
| 15 | 1 | |
| 16 | 181 | |
| 17 | 7 | |
| 18 | 20 | |
| 19 | 12 | |
| 20 | 66 |
About Koh Furuta
Koh Furuta is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 100 papers that have together received 6.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (30 papers), Cancer Genomics and Diagnostics (16 papers) and Pancreatic and Hepatic Oncology Research (10 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (2.2k citations) and Pulmonary and Respiratory Medicine (2.3k citations). Koh Furuta has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Koji Tsuta, Takashi Kohno, Hisao Asamura, Tatsuhiro Shibata, Hitoshi Tsuda, Akihiko Yoshida, Yasuhide Yamada, Ikuo Sekine, Hikaru Sonoda and Hideki Ohta. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.
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.