Junya Tabata
Impact in
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- Artificial Intelligence in Healthcare and Education
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
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- Ovarian cancer diagnosis and treatment 6
- Endometriosis Research and Treatment 1
- Co-authors
- Aikou Okamoto (7 shared papers)Nozomu Yanaihara (5 shared papers)Yasushi Iida (5 shared papers)Takashi Kohno (2 shared papers)Takashi Nakaoku (2 shared papers)Misato Saito (4 shared papers)Jason Shapiro (2 shared papers)Eiryo Kawakami (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Frontiers in Oncology (1 paper)Scientific Reports (1 paper)Colloids and Surfaces B Biointerfaces (1 paper)Carcinogenesis (1 paper)
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Junya Tabata
9 papers receiving 247 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 11
- Reproductive Medicine 64
- Obstetrics and Gynecology 34
- Radiology, Nuclear Medicine and Imaging 61
- Cancer Research 38
Countries citing papers authored by Junya Tabata
This map shows the geographic impact of Junya 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 Junya Tabata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Tabata more than expected).
Fields of papers citing papers by Junya Tabata
This network shows the impact of papers produced by Junya 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 Junya Tabata. The network helps show where Junya Tabata may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya 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 | 2019 | 156 | |
| 2 | 2019 | 40 | |
| 3 | 2021 | 24 | |
| 4 | 2022 | 8 | |
| 5 | 2023 | 6 | |
| 6 | 2003 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2017 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 0 |
About Junya Tabata
Junya Tabata is a scholar working on Reproductive Medicine, Molecular Biology, Oncology, Obstetrics and Gynecology and Immunology, having authored 10 papers that have together received 250 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Endometrial and Cervical Cancer Treatments (3 papers), PARP inhibition in cancer therapy (2 papers), Endometriosis Research and Treatment (1 paper), Geotechnical and construction materials studies (1 paper), Computational Drug Discovery Methods (1 paper), Geotechnical Engineering and Soil Stabilization (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Health Informatics (11 citations), Reproductive Medicine (64 citations), Obstetrics and Gynecology (34 citations), Radiology, Nuclear Medicine and Imaging (61 citations) and Cancer Research (38 citations). Junya Tabata has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Aikou Okamoto, Nozomu Yanaihara, Yasushi Iida, Takashi Kohno, Takashi Nakaoku, Misato Saito, Jason Shapiro, Eiryo Kawakami, Hirokuni Takano and Tetsuo Ishikawa. Their work appears in journals such as Clinical Cancer Research, Frontiers in Oncology, Scientific Reports, Colloids and Surfaces B Biointerfaces and Carcinogenesis.
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.