Kaoru Kubota
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 5%
- Surgery top 5%
- Epidemiology top 5%
- Co-authors
- Yutaka NishiwakiNagahiro SaijoTomohide TamuraHironobu OhmatsuKōichi GotoAkihiko GemmaYuichiro OheIkuo Sekine
- Topics
- Lung Cancer Treatments and Mutations (131 papers)Lung Cancer Research Studies (96 papers)Lung Cancer Diagnosis and Treatment (60 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaCancer
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kaoru Kubota
255 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Oncology 4.4k
- Pulmonary and Respiratory Medicine 3.7k
- Molecular Biology 1.5k
- Surgery 803
- Epidemiology 767
Countries citing papers authored by Kaoru Kubota
This map shows the geographic impact of Kaoru Kubota'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 Kaoru Kubota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Kubota more than expected).
Fields of papers citing papers by Kaoru Kubota
This network shows the impact of papers produced by Kaoru Kubota. 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 Kaoru Kubota. The network helps show where Kaoru Kubota may publish in the future.
Co-authorship network of co-authors of Kaoru Kubota
This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Kubota. A scholar is included among the top collaborators of Kaoru Kubota 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 Kaoru Kubota. Kaoru Kubota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 57 | |
| 13 | 27 | |
| 14 | 161 | |
| 15 | Carboplatin plus either docetaxel or paclitaxel for Japanese patients with advanced non-small cell lung cancer. | 6 |
| 16 | 23 | |
| 17 | Eg5 expression is closely correlated with response of advanced non-small cell lung cancer to antimitotic agents combined with platinum chemotherapy | 1 |
| 18 | [Cost effectiveness analysis of FDG-PET in the differential diagnosis and staging of lung cancer in Japan]. | 5 |
| 19 | [Primary pulmonary cryptococcosis with pleural effusion, and clinical studies of five cases]. | 2 |
| 20 | 17 |
About Kaoru Kubota
Kaoru Kubota is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Hepatology, having authored 269 papers that have together received 7.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (131 papers), Lung Cancer Research Studies (96 papers) and Lung Cancer Diagnosis and Treatment (60 papers). The work is most often cited by research in Oncology (4.4k citations), Pulmonary and Respiratory Medicine (3.7k citations) and Cancer Research (740 citations). Kaoru Kubota has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yutaka Nishiwaki, Nagahiro Saijo, Tomohide Tamura, Hironobu Ohmatsu, Kōichi Goto, Akihiko Gemma, Yuichiro Ohe, Ikuo Sekine, Seiji Niho and Kiyoyuki Furuse. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.
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.