Isamu Okamoto
- Oncology top 0.1%
- Lung Cancer Research Studies 128
- Colorectal Cancer Treatments and Studies 89
- Cancer Immunotherapy and Biomarkers 49
- Pulmonary and Respiratory Medicine top 0.05%
- Lung Cancer Treatments and Mutations 275
- Lung Cancer Diagnosis and Treatment 64
- Gastric Cancer Management and Outcomes 34
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 37
- Hepatology top 2%
- Molecular Biology top 1%
- Cancer therapeutics and mechanisms 34
- Co-authors
- Kazuhiko NakagawaMasahiro FukuokaKazuto NishioNobuyuki YamamotoMasayuki TakedaYoichi NakanishiTakashi SetoKazuko Sakai
- Journals
- Journal of Clinical Oncology (49 papers)Annals of Oncology (46 papers)Journal of Thoracic Oncology (35 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Isamu Okamoto
373 papers receiving 13.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Oncology 9.5k
- Pulmonary and Respiratory Medicine 9.4k
- Cancer Research 2.0k
- Hepatology 482
- Molecular Biology 4.1k
Countries citing papers authored by Isamu Okamoto
This map shows the geographic impact of Isamu Okamoto'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 Isamu Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isamu Okamoto more than expected).
Fields of papers citing papers by Isamu Okamoto
This network shows the impact of papers produced by Isamu Okamoto. 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 Isamu Okamoto. The network helps show where Isamu Okamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isamu Okamoto, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 50 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 8 | |
| 9 | Induction of PD-L1 Expression by the EML4–ALK Oncoprotein and Downstream Signaling Pathways in Non–Small Cell Lung Cancerbreakdown → | 2015 | 366 |
| 10 | 2014 | 89 | |
| 11 | 2012 | 126 | |
| 12 | 2012 | 73 | |
| 13 | 2011 | 59 | |
| 14 | 2011 | 115 | |
| 15 | 2010 | 79 | |
| 16 | 2010 | 63 | |
| 17 | 2010 | 157 | |
| 18 | 2010 | 58 | |
| 19 | 2010 | 75 | |
| 20 | 2009 | 51 |
About Isamu Okamoto
Isamu Okamoto is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 383 papers that have together received 13.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (275 papers), Lung Cancer Research Studies (128 papers), Colorectal Cancer Treatments and Studies (89 papers), Lung Cancer Diagnosis and Treatment (64 papers), Cancer Immunotherapy and Biomarkers (49 papers), Cancer Genomics and Diagnostics (37 papers), Gastric Cancer Management and Outcomes (34 papers) and Cancer therapeutics and mechanisms (34 papers). The work is most often cited by research in Oncology (9.5k citations), Pulmonary and Respiratory Medicine (9.4k citations) and Cancer Research (2.0k citations). Isamu Okamoto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kazuhiko Nakagawa, Masahiro Fukuoka, Kazuto Nishio, Nobuyuki Yamamoto, Masayuki Takeda, Yoichi Nakanishi, Takashi Seto, Kazuko Sakai, Eiji Iwama and Junko Tanizaki. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Thoracic Oncology, Lung Cancer and Cancer Science.
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.