Toshihiko Doi
- Oncology top 0.1%
- Pulmonary and Respiratory Medicine top 0.1%
- Surgery top 0.5%
- Molecular Biology top 2%
- Immunology top 1%
- Co-authors
- Atsushi OhtsuKohei ShitaraTakashi KojimaTakayuki YoshinoSarina A. Piha‐PaulNarikazu BokuYasutoshi KubokiKenji Tamura
- Topics
- Gastric Cancer Management and Outcomes (137 papers)Cancer Immunotherapy and Biomarkers (96 papers)Colorectal Cancer Treatments and Studies (87 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Toshihiko Doi
414 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Oncology 9.3k
- Pulmonary and Respiratory Medicine 6.4k
- Surgery 3.6k
- Molecular Biology 2.6k
- Immunology 2.0k
Countries citing papers authored by Toshihiko Doi
This map shows the geographic impact of Toshihiko Doi'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 Toshihiko Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihiko Doi more than expected).
Fields of papers citing papers by Toshihiko Doi
This network shows the impact of papers produced by Toshihiko Doi. 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 Toshihiko Doi. The network helps show where Toshihiko Doi may publish in the future.
Co-authorship network of co-authors of Toshihiko Doi
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiko Doi. A scholar is included among the top collaborators of Toshihiko Doi 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 Toshihiko Doi. Toshihiko Doi 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 17 | |
| 8 | 37 | |
| 9 | Phase I/Ib Clinical Trial of Sabatolimab, an Anti–TIM-3 Antibody, Alone and in Combination with Spartalizumab, an Anti–PD-1 Antibody, in Advanced Solid Tumorsbreakdown → | 257 |
| 10 | 13 | |
| 11 | 116 | |
| 12 | 29 | |
| 13 | 7 | |
| 14 | 31 | |
| 15 | 11 | |
| 16 | 124 | |
| 17 | 181 | |
| 18 | T-Cell–Inflamed Gene-Expression Profile, Programmed Death Ligand 1 Expression, and Tumor Mutational Burden Predict Efficacy in Patients Treated With Pembrolizumab Across 20 Cancers: KEYNOTE-028breakdown → | 656 |
| 19 | 1 | |
| 20 | 179 |
About Toshihiko Doi
Toshihiko Doi is a scholar working on Gastroenterology, Oncology and Pulmonary and Respiratory Medicine, having authored 424 papers that have together received 14.4k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (137 papers), Cancer Immunotherapy and Biomarkers (96 papers) and Colorectal Cancer Treatments and Studies (87 papers). The work is most often cited by research in Oncology (9.3k citations), Gastroenterology (1.8k citations) and Pulmonary and Respiratory Medicine (6.4k citations). Toshihiko Doi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Atsushi Ohtsu, Kohei Shitara, Takashi Kojima, Takayuki Yoshino, Sarina A. Piha‐Paul, Narikazu Boku, Yasutoshi Kuboki, Kenji Tamura, Shunji Takahashi and Kei Muro. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.
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.