Takanori Ishida

7.6k total citations · 1 hit paper
215 papers, 5.7k citations indexed

About

Takanori Ishida is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Takanori Ishida has authored 215 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Oncology, 89 papers in Cancer Research and 76 papers in Molecular Biology. Recurrent topics in Takanori Ishida's work include Breast Cancer Treatment Studies (65 papers), Estrogen and related hormone effects (39 papers) and Breast Lesions and Carcinomas (33 papers). Takanori Ishida is often cited by papers focused on Breast Cancer Treatment Studies (65 papers), Estrogen and related hormone effects (39 papers) and Breast Lesions and Carcinomas (33 papers). Takanori Ishida collaborates with scholars based in Japan, United States and China. Takanori Ishida's co-authors include Hironobu Sasano, Noriaki Ohuchi, Takashi Suzuki, Yasuhiro Miki, Takuya Moriya, Hisashi Hirakawa, Minoru Miyashita, Mika Watanabe, Kiyoshi Takagi and Kentaro Tamaki and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Takanori Ishida

202 papers receiving 5.6k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial

2015 381 citations Noriaki Ohuchi, Akihiko Suzuki et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Takanori Ishida Japan	44	2.3k	2.0k	1.8k	1.1k	892	215	5.7k
Dilip D. Giri United States	37	2.9k 1.3×	3.0k 1.4×	2.4k 1.3×	728 0.7×	712 0.8×	94	7.0k
Johan Hartman Sweden	34	2.4k 1.1×	2.7k 1.3×	1.9k 1.0×	1.9k 1.8×	733 0.8×	113	6.7k
Lisa Rydén Sweden	44	2.7k 1.2×	2.1k 1.0×	2.8k 1.5×	772 0.7×	1.1k 1.2×	187	5.7k
Wilma L. Lingle United States	44	3.1k 1.4×	3.6k 1.8×	2.0k 1.1×	1.4k 1.3×	673 0.8×	102	7.4k
Masafumi Kurosumi Japan	37	2.2k 1.0×	1.4k 0.7×	1.8k 1.0×	605 0.5×	541 0.6×	202	4.3k
Zhi‐Ming Shao China	50	3.6k 1.6×	3.9k 1.9×	3.0k 1.6×	1.1k 1.0×	1.3k 1.5×	222	8.6k
Bruce F. Kimler United States	37	1.4k 0.6×	1.4k 0.7×	1.3k 0.7×	819 0.7×	645 0.7×	228	4.5k
Ja Seung Koo South Korea	43	2.4k 1.0×	2.7k 1.3×	2.8k 1.5×	509 0.5×	807 0.9×	231	6.3k
Vessela N. Kristensen Norway	37	1.4k 0.6×	3.2k 1.6×	2.3k 1.2×	806 0.7×	644 0.7×	132	5.1k
Ellen Rawlinson Canada	12	2.8k 1.2×	1.6k 0.8×	2.4k 1.3×	474 0.4×	959 1.1×	16	4.9k

Countries citing papers authored by Takanori Ishida

Since Specialization

Citations

This map shows the geographic impact of Takanori Ishida'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 Takanori Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takanori Ishida more than expected).

Fields of papers citing papers by Takanori Ishida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takanori Ishida. 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 Takanori Ishida. The network helps show where Takanori Ishida may publish in the future.

Co-authorship network of co-authors of Takanori Ishida

This figure shows the co-authorship network connecting the top 25 collaborators of Takanori Ishida. A scholar is included among the top collaborators of Takanori Ishida 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 Takanori Ishida. Takanori Ishida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Takahashi, Masato, Tadashi Nomizu, Takanori Ishida, et al.. (2025). Analysis of the conditions for applying BRCA genetic testing to women with breast cancer using the Japanese HBOC consortium and the Japanese organization of hereditary breast and ovarian cancer (JOHBOC) registry project database. Breast Cancer. 32(4). 792–802.

Kogawa, Takahiro, Toshinari Yamashita, Takanori Ishida, et al.. (2024). Phase Ib trial of tasurgratinib (E7090) with or without endocrine therapies for patients (pts) with ER+, HER2− recurrent/metastatic breast cancer (BC) after receiving a CDK4/6 inhibitor.. Journal of Clinical Oncology. 42(16_suppl). 3103–3103. 1 indexed citations

Nakagawa, Saki, Minoru Miyashita, Ichiro Maeda, et al.. (2024). Potential role of Fbxo22 in resistance to endocrine therapy in breast cancer with invasive lobular carcinoma. Breast Cancer Research and Treatment. 204(3). 453–463. 2 indexed citations

Takagi, Kiyoshi, M. Yamaguchi, Ai Sato, et al.. (2024). Receptor for Hyaluronan Mediated Motility (RHAMM)/Hyaluronan Axis in Breast Cancer Chemoresistance. Cancers. 16(21). 3600–3600. 4 indexed citations

Tada, Hiroshi, Kohsuke Gonda, Narufumi Kitamura, & Takanori Ishida. (2023). Clinical Significance of ABCG2/BCRP Quantified by Fluorescent Nanoparticles in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy. Cancers. 15(8). 2365–2365. 9 indexed citations

Miyashita, Minoru, Miyuki Nomura, Hiroshi Shima, et al.. (2022). Bird’s eye view analysis of in situ cholesterol metabolic pathways in breast cancer patients and its clinicopathological significance in their subtypes. The Journal of Steroid Biochemistry and Molecular Biology. 221. 106103–106103. 3 indexed citations

Miyashita, Minoru, et al.. (2019). 乳癌層別化のためのルーチン針生検により同定された腫瘍型特異的代謝サインの代謝プロファイル:パイロット研究【JST・京大機械翻訳】. Metabolomics. 15(11). 1–10. 4 indexed citations

Kikuchi, Kyoko, Keely May McNamara, Yasuhiro Miki, et al.. (2018). S100P and Ezrin promote trans-endothelial migration of triple negative breast cancer cells. Cellular Oncology. 42(1). 67–80. 31 indexed citations

Takagi, Kiyoshi, Ai Sato, Yasuhiro Miki, et al.. (2017). Cytochrome c1 in ductal carcinoma in situ of breast associated with proliferation and comedo necrosis. Cancer Science. 108(7). 1510–1519. 12 indexed citations

10.

Gonda, Kohsuke, Minoru Miyashita, Hideo Higuchi, et al.. (2015). Predictive diagnosis of the risk of breast cancer recurrence after surgery by single-particle quantum dot imaging. Scientific Reports. 5(1). 14322–14322. 24 indexed citations

11.

Miyashita, Minoru, Takanori Ishida, Akihiko Suzuki, et al.. (2014). Prognostic significance of the progesterone receptor status in Ki67-high and -low Luminal B-like HER2-negative breast cancers. Breast Cancer. 23(2). 310–317. 14 indexed citations

12.

McNamara, Keely May, Yukiko Shibahara, Yasuhiro Miki, et al.. (2014). Androgenic pathways in the progression of triple-negative breast carcinoma: a comparison between aggressive and non-aggressive subtypes. Breast Cancer Research and Treatment. 145(2). 281–293. 33 indexed citations

13.

Tamaki, Kentaro, Takanori Ishida, Nobumitsu Tamaki, et al.. (2012). Analysis of clinically relevant values of Ki-67 labeling index in Japanese breast cancer patients. Breast Cancer. 21(3). 325–333. 13 indexed citations

14.

Moriya, Takuya, Naoki Kanomata, Yuji Kozuka, et al.. (2010). Molecular morphological approach to the pathological study of development and advancement of human breast cancer. Medical Molecular Morphology. 43(2). 67–73. 7 indexed citations

15.

Tamaki, Kentaro, Hironobu Sasano, Takanori Ishida, et al.. (2010). Comparison of core needle biopsy (CNB) and surgical specimens for accurate preoperative evaluation of ER, PgR and HER2 status of breast cancer patients. Cancer Science. 101(9). 2074–2079. 74 indexed citations

16.

Suzuki, Takashi, Yoshiaki Onodera, Yasuhiro Miki, et al.. (2010). Nudix‐type motif 2 in human breast carcinoma: A potent prognostic factor associated with cell proliferation. International Journal of Cancer. 128(8). 1770–1782. 28 indexed citations

17.

Miyashita, Minoru, Takanori Ishida, Kazuyuki Ishida, et al.. (2010). Histopathological subclassification of triple negative breast cancer using prognostic scoring system: five variables as candidates. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 458(1). 65–72. 28 indexed citations

18.

Nagasaki, Shuji, Takashi Suzuki, Yasuhiro Miki, et al.. (2009). 17β-Hydroxysteroid Dehydrogenase Type 12 in Human Breast Carcinoma: A Prognostic Factor via Potential Regulation of Fatty Acid Synthesis. Cancer Research. 69(4). 1392–1399. 37 indexed citations

19.

Watanabe, Gou, et al.. (2009). αB‐crystallin: A novel p53‐target gene required for p53‐dependent apoptosis. Cancer Science. 100(12). 2368–2375. 48 indexed citations

20.

Miki, Yasuhiro, Colin D. Clyne, Takashi Suzuki, et al.. (2006). Immunolocalization of liver receptor homologue-1 (LRH-1) in human breast carcinoma: Possible regulator of in situ steroidogenesis. Cancer Letters. 244(1). 24–33. 43 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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