Keiko Mita
Impact in
- Oncology top 10%
- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
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- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Histone Deacetylase Inhibitors Research 2
- Epigenetics and DNA Methylation 1
- Protein Degradation and Inhibitors 1
- Genetics 3
- Estrogen and related hormone effects 2
- Dermatological and Skeletal Disorders 1
- Co-authors
- Maho Hamaguchi (7 shared papers)Hiroko Yamashita (8 shared papers)Hirotaka Iwase (8 shared papers)Zhenhuan Zhang (7 shared papers)Hiroshi Sugiura (6 shared papers)Tatsuya Toyama (7 shared papers)Shunzo Kobayashi (6 shared papers)Yasuo Hara (2 shared papers)
In The Last Decade
Keiko Mita
12 papers receiving 770 citations
Peers
Comparison fields: 5 of 56
- Oncology 222
- Molecular Biology 587
- Cancer Research 112
- Genetics 128
- Endocrinology, Diabetes and Metabolism 37
Countries citing papers authored by Keiko Mita
This map shows the geographic impact of Keiko Mita'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 Keiko Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Mita more than expected).
Fields of papers citing papers by Keiko Mita
This network shows the impact of papers produced by Keiko Mita. 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 Keiko Mita. The network helps show where Keiko Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Keiko Mita, 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 | 2005 | 247 | |
| 2 | 2004 | 241 | |
| 3 | 2005 | 90 | |
| 4 | 2006 | 82 | |
| 5 | 2007 | 49 | |
| 6 | 2005 | 39 | |
| 7 | 2005 | 32 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 2 | |
| 10 | [A case of melanosis duodeni]. | 1996 | 1 |
| 11 | [Ichthyosis-like changes of the skin and internal diseases with special reference to complications of malignant tumors]. | 1966 | 1 |
| 12 | 2000 | 1 |
About Keiko Mita
Keiko Mita is a scholar working on Molecular Biology, Genetics, Surgery, Dermatology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 790 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Epigenetics and DNA Methylation (1 paper), Potassium and Related Disorders (1 paper), Protein Degradation and Inhibitors (1 paper), Skin Diseases and Diabetes (1 paper) and Dermatological and Skeletal Disorders (1 paper). The work is most often cited by research in Oncology (222 citations), Molecular Biology (587 citations), Cancer Research (112 citations), Genetics (128 citations) and Endocrinology, Diabetes and Metabolism (37 citations). Keiko Mita has collaborated with scholars based in Japan and Sweden. Frequent co-authors include Maho Hamaguchi, Hiroko Yamashita, Hirotaka Iwase, Zhenhuan Zhang, Hiroshi Sugiura, Tatsuya Toyama, Shunzo Kobayashi, Yasuo Hara, Shin‐ichi Hayashi and Yoko Omoto. Their work appears in journals such as Clinical Cancer Research, Breast Cancer Research and Treatment, Cancer Letters, Breast Cancer and Japanese Journal of Clinical 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.