Junko Takei
Impact in
- Oncology top 5%
- Lymphatic System and Diseases
- Chemokine receptors and signaling
- HER2/EGFR in Cancer Research
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 58
- Lymphatic System and Diseases 23
- HER2/EGFR in Cancer Research 14
- Cancer Cells and Metastasis 6
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- Monoclonal and Polyclonal Antibodies Research 25
- Co-authors
- Mika K. Kaneko (59 shared papers)Yukinari Kato (59 shared papers)Masato Sano (38 shared papers)Teizo Asano (39 shared papers)Takuro Nakamura (26 shared papers)Hiroyuki Harada (24 shared papers)Hideki Hosono (21 shared papers)Manabu Kawada (21 shared papers)
- Journals
- Breast Cancer (6 papers)Oncology Reports (4 papers)Clinical Breast Cancer (4 papers)Virology Journal (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- JapanThailandUnited States
In The Last Decade
Junko Takei
83 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Oncology 746
- Immunology 400
- Radiology, Nuclear Medicine and Imaging 333
- Physiology 53
- Surgery 226
Countries citing papers authored by Junko Takei
This map shows the geographic impact of Junko Takei'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 Junko Takei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Takei more than expected).
Fields of papers citing papers by Junko Takei
This network shows the impact of papers produced by Junko Takei. 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 Junko Takei. The network helps show where Junko Takei may publish in the future.
Co-authors
The 25 scholars most cited alongside Junko Takei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2019 | 49 | |
| 3 | 2021 | 37 | |
| 4 | 2021 | 37 | |
| 5 | 2019 | 37 | |
| 6 | 2019 | 36 | |
| 7 | 2021 | 32 | |
| 8 | 2019 | 32 | |
| 9 | 2019 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2020 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2008 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2020 | 20 |
About Junko Takei
Junko Takei is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Lymphatic System and Diseases (23 papers), Glycosylation and Glycoproteins Research (16 papers), Lymphatic Disorders and Treatments (15 papers), HER2/EGFR in Cancer Research (14 papers), Veterinary Oncology Research (9 papers), Breast Cancer Treatment Studies (8 papers) and Cancer Cells and Metastasis (6 papers). The work is most often cited by research in Oncology (746 citations), Immunology (400 citations), Radiology, Nuclear Medicine and Imaging (333 citations), Physiology (53 citations) and Surgery (226 citations). Junko Takei has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Mika K. Kaneko, Yukinari Kato, Masato Sano, Teizo Asano, Takuro Nakamura, Hiroyuki Harada, Hideki Hosono, Manabu Kawada, Tomokazu Ohishi and Shinji Yamada. Their work appears in journals such as Breast Cancer, Oncology Reports, Clinical Breast Cancer, Virology Journal and European Journal of Cancer.
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.