Rina Kitada
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Genetics top 10%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
Papers in
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- Advanced biosensing and bioanalysis techniques 1
- Protein Degradation and Inhibitors 1
- Genetics, Bioinformatics, and Biomedical Research 1
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- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 1
- Co-authors
- Ayako Kojima (1 shared paper)Yuriko Sugawara (1 shared paper)Kengo Yamawaki (1 shared paper)Kazuma Tomizuka (1 shared paper)Makoto Kakitani (1 shared paper)Takeshi Oshima (1 shared paper)Kaori Horikoshi (1 shared paper)Shinji Kohsaka (6 shared papers)
- Journals
- Human Molecular Genetics (1 paper)Journal of Neuro-Oncology (1 paper)npj Precision Oncology (1 paper)npj Breast Cancer (1 paper)Oncogene (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Rina Kitada
6 papers receiving 263 citations
Peers
Comparison fields: 5 of 40
- Reproductive Medicine 84
- Genetics 202
- Physiology 16
- Molecular Biology 197
- Public Health, Environmental and Occupational Health 69
Countries citing papers authored by Rina Kitada
This map shows the geographic impact of Rina Kitada'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 Rina Kitada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rina Kitada more than expected).
Fields of papers citing papers by Rina Kitada
This network shows the impact of papers produced by Rina Kitada. 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 Rina Kitada. The network helps show where Rina Kitada may publish in the future.
Co-authors
The 25 scholars most cited alongside Rina Kitada, 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 | 2008 | 260 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About Rina Kitada
Rina Kitada is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 8 papers that have together received 270 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Protein Degradation and Inhibitors (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Reproductive Medicine (84 citations), Genetics (202 citations), Physiology (16 citations), Molecular Biology (197 citations) and Public Health, Environmental and Occupational Health (69 citations). Rina Kitada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Ayako Kojima, Yuriko Sugawara, Kengo Yamawaki, Kazuma Tomizuka, Makoto Kakitani, Takeshi Oshima, Kaori Horikoshi, Shinji Kohsaka, Toshihide Ueno and Hiroyuki Mano. Their work appears in journals such as Human Molecular Genetics, Journal of Neuro-Oncology, npj Precision Oncology, npj Breast Cancer and Oncogene.
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.