Kunitoshi Tomii
Impact in
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Oncology top 10%
- Colorectal Cancer Treatments and Studies
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
Papers in
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- Lung Cancer Treatments and Mutations 5
- Lung Cancer Diagnosis and Treatment 1
- Oncology 4
- Colorectal Cancer Treatments and Studies 3
- Lung Cancer Research Studies 3
- Co-authors
- Shinichi Toyooka (5 shared papers)Nobuyoshi Shimizu (5 shared papers)Hiroshi Date (4 shared papers)Hisayuki Shigematsu (3 shared papers)Masaki Tokumo (3 shared papers)Kazunori Tsukuda (4 shared papers)Motoi Aoe (3 shared papers)Adi F. Gazdar (3 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)International Journal of Cancer (1 paper)Oncology Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Kunitoshi Tomii
6 papers receiving 644 citations
Peers
Comparison fields: 5 of 42
- Pulmonary and Respiratory Medicine 480
- Oncology 389
- Cancer Research 150
- Molecular Biology 269
- Pathology and Forensic Medicine 34
Countries citing papers authored by Kunitoshi Tomii
This map shows the geographic impact of Kunitoshi Tomii'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 Kunitoshi Tomii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunitoshi Tomii more than expected).
Fields of papers citing papers by Kunitoshi Tomii
This network shows the impact of papers produced by Kunitoshi Tomii. 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 Kunitoshi Tomii. The network helps show where Kunitoshi Tomii may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunitoshi Tomii, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 429 | |
| 2 | 2006 | 126 | |
| 3 | 2006 | 63 | |
| 4 | 2005 | 36 | |
| 5 | The relationship between epidermal growth factor receptor(EGFR) mutations and clinico-pathological features in non-small cell lung cancers | 2005 | 2 |
| 6 | 2010 | 2 | |
| 7 | 2011 | 0 |
About Kunitoshi Tomii
Kunitoshi Tomii is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 658 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Epigenetics and DNA Methylation (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Research Studies (3 papers), Lung Cancer Diagnosis and Treatment (1 paper), Digestive system and related health (1 paper), Genetic Syndromes and Imprinting (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (480 citations), Oncology (389 citations), Cancer Research (150 citations), Molecular Biology (269 citations) and Pathology and Forensic Medicine (34 citations). Kunitoshi Tomii has collaborated with scholars based in Japan and United States. Frequent co-authors include Shinichi Toyooka, Nobuyoshi Shimizu, Hiroshi Date, Hisayuki Shigematsu, Masaki Tokumo, Kazunori Tsukuda, Motoi Aoe, Adi F. Gazdar, Masaaki Yano and Katsuyuki Kiura. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, International Journal of Cancer, Oncology 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.