Yasushi Goto
- Oncology top 1%
- Lung Cancer Research Studies 70
- Cancer Immunotherapy and Biomarkers 69
- Colorectal Cancer Treatments and Studies 34
- HER2/EGFR in Cancer Research 24
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- Lung Cancer Treatments and Mutations 152
- Lung Cancer Diagnosis and Treatment 38
- Gastric Cancer Management and Outcomes 13
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 20
- Immunology top 10%
- Co-authors
- Noboru YamamotoYuichiro OheHidehito HorinouchiEnriqueta FelipTodd M. BauerBenjamin SolomonTony MokJulien Mazières
- Journals
- New England Journal of Medicine (1 paper)Journal of Clinical Oncology (27 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Yasushi Goto
226 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Oncology 2.5k
- Pulmonary and Respiratory Medicine 2.2k
- Cancer Research 602
- Immunology 291
- Pathology and Forensic Medicine 243
Countries citing papers authored by Yasushi Goto
This map shows the geographic impact of Yasushi Goto'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 Yasushi Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Goto more than expected).
Fields of papers citing papers by Yasushi Goto
This network shows the impact of papers produced by Yasushi Goto. 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 Yasushi Goto. The network helps show where Yasushi Goto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasushi Goto, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 36 | |
| 19 | 2018 | 10 | |
| 20 | 2018 | 5 |
About Yasushi Goto
Yasushi Goto is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 246 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (152 papers), Lung Cancer Research Studies (70 papers), Cancer Immunotherapy and Biomarkers (69 papers), Lung Cancer Diagnosis and Treatment (38 papers), Colorectal Cancer Treatments and Studies (34 papers), HER2/EGFR in Cancer Research (24 papers), Cancer Genomics and Diagnostics (20 papers) and Gastric Cancer Management and Outcomes (13 papers). The work is most often cited by research in Oncology (2.5k citations), Pulmonary and Respiratory Medicine (2.2k citations) and Cancer Research (602 citations). Yasushi Goto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Noboru Yamamoto, Yuichiro Ohe, Hidehito Horinouchi, Enriqueta Felip, Todd M. Bauer, Benjamin Solomon, Tony Mok, Julien Mazières, Shintaro Kanda and Yutaka Fujiwara. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.