Mariko Tabata
Impact in
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- Cancer Genomics and Diagnostics
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- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
- Surgery 4
- Bladder and Urothelial Cancer Treatments 3
- Urinary and Genital Oncology Studies 2
- Pancreatic function and diabetes 1
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- Epigenetics and DNA Methylation 2
- Protein Degradation and Inhibitors 1
- Co-authors
- Yasunori Kogure (7 shared papers)Keisuke Kataoka (5 shared papers)Yuki Saito (7 shared papers)Takanori Kanai∥ (2 shared papers)Junji Koya (4 shared papers)Marni B. McClure (4 shared papers)Yuichi Shiraishi (2 shared papers)Hiroko Tanaka (1 shared paper)
- Journals
- Japanese Journal of Clinical Oncology (2 papers)Blood (2 papers)Cancer Discovery (1 paper)World Journal of Urology (1 paper)Leukemia (1 paper)
- Partner nations
- JapanUnited KingdomSweden
In The Last Decade
Mariko Tabata
8 papers receiving 147 citations
Peers
Comparison fields: 5 of 37
- Cancer Research 49
- Oncology 47
- Pulmonary and Respiratory Medicine 44
- Molecular Biology 77
- Genetics 9
Countries citing papers authored by Mariko Tabata
This map shows the geographic impact of Mariko Tabata'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 Mariko Tabata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Tabata more than expected).
Fields of papers citing papers by Mariko Tabata
This network shows the impact of papers produced by Mariko Tabata. 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 Mariko Tabata. The network helps show where Mariko Tabata may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariko Tabata, 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 | 2020 | 84 | |
| 2 | 2024 | 21 | |
| 3 | 2014 | 15 | |
| 4 | 2023 | 11 | |
| 5 | 2016 | 10 | |
| 6 | 2021 | 4 | |
| 7 | 2015 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2020 | 0 | |
| 12 | [Clinicopathological Study and Treatment Outcome of Retroperitoneal Soft Tissue Sarcoma]. | 2015 | 0 |
About Mariko Tabata
Mariko Tabata is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 12 papers that have together received 148 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Epigenetics and DNA Methylation (2 papers), Urinary and Genital Oncology Studies (2 papers), Renal cell carcinoma treatment (2 papers), Pancreatic function and diabetes (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (49 citations), Oncology (47 citations), Pulmonary and Respiratory Medicine (44 citations), Molecular Biology (77 citations) and Genetics (9 citations). Mariko Tabata has collaborated with scholars based in Japan, United Kingdom and Sweden. Frequent co-authors include Yasunori Kogure, Keisuke Kataoka, Yuki Saito, Takanori Kanai∥, Junji Koya, Marni B. McClure, Yuichi Shiraishi, Hiroko Tanaka, Shigeyuki Matsumoto and Kota Yoshifuji. Their work appears in journals such as Japanese Journal of Clinical Oncology, Blood, Cancer Discovery, World Journal of Urology and Leukemia.
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.