Sumiko Okubo
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- Lung Cancer Research Studies 4
- Peptidase Inhibition and Analysis 4
- HER2/EGFR in Cancer Research 4
- Neutropenia and Cancer Infections 3
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- Acute Myeloid Leukemia Research 3
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- PI3K/AKT/mTOR signaling in cancer 3
- Glycosylation and Glycoproteins Research 2
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- Acute Lymphoblastic Leukemia research 3
- Co-authors
- Hiroshi SonooJunichi KurebayashiYutaka YamamotoKatsuhiro TanakaTakemi OtsukiMasahiko IkedaTsunehisa NomuraKiyoshi Udagawa
- Cited by
- OncologyCancer ResearchHematology
- Journals
- Journal of Clinical Oncology (2 papers)British Journal of Cancer (1 paper)Annals of Oncology (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Sumiko Okubo
24 papers receiving 289 citations
Peers
Comparison fields: 5 of 43
- Oncology 165
- Cancer Research 40
- Hematology 27
- Genetics 67
- Toxicology 8
Countries citing papers authored by Sumiko Okubo
This map shows the geographic impact of Sumiko Okubo'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 Sumiko Okubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumiko Okubo more than expected).
Fields of papers citing papers by Sumiko Okubo
This network shows the impact of papers produced by Sumiko Okubo. 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 Sumiko Okubo. The network helps show where Sumiko Okubo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sumiko Okubo, 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 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 12 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 2 | |
| 9 | 2017 | 1 | |
| 10 | Two cases of spindle cell carcinoma of the breast – Usefulness of immunohistochemical analysis | 2012 | 1 |
| 11 | 2012 | 1 | |
| 12 | 2006 | 47 | |
| 13 | 2006 | 23 | |
| 14 | Loss of BRCA1 expression may predict shorter time-to-progression in metastatic breast cancer patients treated with taxanes. | 2006 | 30 |
| 15 | [A case of granulocyte-colony stimulating factor producing small cell carcinoma of esophagus]. | 2005 | 4 |
| 16 | 2004 | 54 | |
| 17 | 2004 | 4 | |
| 18 | 2004 | 26 | |
| 19 | 2002 | 1 | |
| 20 | [A case report of acute mid-graft occlusion of the left internal mammary artery to the left anterior descending artery after PTCA]. | 1993 | 1 |
About Sumiko Okubo
Sumiko Okubo is a scholar working on Oncology, Hematology and Genetics, having authored 25 papers that have together received 296 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Peptidase Inhibition and Analysis (4 papers), HER2/EGFR in Cancer Research (4 papers), Acute Myeloid Leukemia Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Neutropenia and Cancer Infections (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Oncology (165 citations), Cancer Research (40 citations) and Hematology (27 citations). Sumiko Okubo has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hiroshi Sonoo, Junichi Kurebayashi, Yutaka Yamamoto, Katsuhiro Tanaka, Takemi Otsuki, Masahiko Ikeda, Tsunehisa Nomura, Kiyoshi Udagawa, Masafumi Kurosumi and Yutaka Fujiwara. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer and Annals of Oncology.
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.