Junko Takei

2.0k total citations
85 papers, 1.1k citations indexed

About

Junko Takei is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Junko Takei has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 28 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Molecular Biology. Recurrent topics in Junko Takei's work include Monoclonal and Polyclonal Antibodies Research (25 papers), Lymphatic System and Diseases (23 papers) and Glycosylation and Glycoproteins Research (16 papers). Junko Takei is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (25 papers), Lymphatic System and Diseases (23 papers) and Glycosylation and Glycoproteins Research (16 papers). Junko Takei collaborates with scholars based in Japan, United States and Thailand. Junko Takei's co-authors include Yukinari Kato, Mika K. Kaneko, Masato Sano, Teizo Asano, Takuro Nakamura, Hiroyuki Harada, Hideki Hosono, Manabu Kawada, Tomokazu Ohishi and Yoshikazu Furusawa and has published in prestigious journals such as Development, European Journal of Cancer and Cells.

In The Last Decade

Junko Takei

83 papers receiving 1.1k citations

Peers

Junko Takei
Ilenia Pellicciotta United States
Kavitha Balaji United States
Christine Alewine United States
Steven N. Seyedin United States
Jan Žaloudík Czechia
Amandine Alard United States
Shankar K. Nayak United States
John McKolanis United States
Edward E. Kadel United States
Jean-Michel Vernes United States
Ilenia Pellicciotta United States
Junko Takei
Citations per year, relative to Junko Takei Junko Takei (= 1×) peers Ilenia Pellicciotta

Countries citing papers authored by Junko Takei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Junko Takei

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Takei. A scholar is included among the top collaborators of Junko Takei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junko Takei. Junko Takei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tanabe, Masahiko, et al.. (2023). Post-traumatic growth and cancer-related communication among adolescents having mothers with breast cancer. Supportive Care in Cancer. 31(7). 446–446. 1 indexed citations
2.
Yoshida, Atsushi, Osamu Takahashi, Junko Takei, et al.. (2023). Prognostic effect of subsequent childbirth after the diagnosis of breast cancer using propensity score matching analysis. Breast Cancer. 30(3). 354–363. 1 indexed citations
3.
4.
Asano, Teizo, Tomokazu Ohishi, Junko Takei, et al.. (2021). An Anti-HER2 Monoclonal Antibody H 2 Mab-41 Exerts Antitumor Activities in Mouse Xenograft Model Using Dog HER2-Overexpressed Cells. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 40(4). 184–190. 12 indexed citations
5.
Yamashita, Yuji, Hiroko Tsunoda, Atsushi Yoshida, et al.. (2021). Long-Term Oncologic Safety of Nipple-Sparing Mastectomy With Immediate Reconstruction. Clinical Breast Cancer. 21(4). 352–359. 12 indexed citations
6.
Kato, Yukinari, Tomokazu Ohishi, Masato Sano, et al.. (2020). H 2 Mab-19 Anti-Human Epidermal Growth Factor Receptor 2 Monoclonal Antibody Therapy Exerts Antitumor Activity in Pancreatic Cancer Xenograft Models. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 39(3). 61–65. 5 indexed citations
7.
Kato, Yukinari, Yuji Ito, Tomokazu Ohishi, et al.. (2020). Antibody–Drug Conjugates Using Mouse–Canine Chimeric Anti-Dog Podoplanin Antibody Exerts Antitumor Activity in a Mouse Xenograft Model. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 39(2). 37–44. 8 indexed citations
8.
Kaneko, Mika K., Tomokazu Ohishi, Takuro Nakamura, et al.. (2020). Development of Core-Fucose-Deficient Humanized and Chimeric Anti-Human Podoplanin Antibodies. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 39(5). 167–174. 20 indexed citations
9.
Takei, Junko, Tomokazu Ohishi, Mika K. Kaneko, et al.. (2020). A defucosylated anti-PD-L1 monoclonal antibody 13-mG2a-f exerts antitumor effects in mouse xenograft models of oral squamous cell carcinoma. Biochemistry and Biophysics Reports. 24. 100801–100801. 18 indexed citations
10.
Bianchini, Giampaolo, Michiko Ando, Daiki Kobayashi, et al.. (2019). Predictive and prognostic value of stromal tumour-infiltrating lymphocytes before and after neoadjuvant therapy in triple negative and HER2-positive breast cancer. European Journal of Cancer. 118. 41–48. 59 indexed citations
11.
Takei, Junko, Shunsuke Itai, Hiroyuki Harada, et al.. (2019). Characterization of Anti-Goat Podoplanin Monoclonal Antibody PMab-235 Using Immunohistochemistry Against Goat Tissues. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 38(5). 213–219. 8 indexed citations
12.
Kato, Yukinari, Junko Takei, Yoshikazu Furusawa, et al.. (2019). Epitope Mapping of Anti-Bear Podoplanin Monoclonal Antibody PMab-247. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 38(5). 230–233. 12 indexed citations
13.
Kato, Yukinari, Tomokazu Ohishi, Shinji Yamada, et al.. (2019). Anti-Human Epidermal Growth Factor Receptor 2 Monoclonal Antibody H 2 Mab-41 Exerts Antitumor Activity in a Mouse Xenograft Model of Colon Cancer. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 38(4). 157–161. 12 indexed citations
14.
Kaneko, Mika K., Yoshikazu Furusawa, Masato Sano, et al.. (2019). Epitope Mapping of the Antihorse Podoplanin Monoclonal Antibody PMab-202. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 38(2). 79–84. 9 indexed citations
15.
Takei, Junko, Yoshikazu Furusawa, Shinji Yamada, et al.. (2019). PMab-247 Detects Bear Podoplanin in Immunohistochemical Analysis. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 38(4). 171–174. 13 indexed citations
16.
Takei, Junko, Shinji Yamada, Satoru Konnai, et al.. (2019). PMab-241 Specifically Detects Bear Podoplanin of Lymphatic Endothelial Cells in the Lung of Brown Bear. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 38(6). 282–284. 8 indexed citations
17.
Tsunoda, Hiroko, Hiroshi Yagata, Naoki Hayashi, et al.. (2017). Discrepancies Between Pathological Tumor Responses and Estimations of Complete Response by Magnetic Resonance Imaging After Neoadjuvant Chemotherapy Differ by Breast Cancer Subtype. Clinical Breast Cancer. 18(2). 128–134. 16 indexed citations
18.
19.
Nishizaki, Yuji, Yasuo Yoshioka, Junko Takei, et al.. (2010). Medical Interview Skills and Patient Satisfaction Levels in a Setting Utilizing Electronic Medical Records. 11(1). 17–23. 2 indexed citations
20.
Hidemura, Akio, Shoichi Kaisaki, Hironori Ishigami, et al.. (2007). Metastatic Esophageal Tumor from Cecal Carcinoma. Japanese Journal of Clinical Oncology. 37(8). 628–631. 5 indexed citations

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.

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2026