Mamiko Fujisue

13.6k total citations · 1 hit paper
18 papers, 11.4k citations indexed

About

Mamiko Fujisue is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Mamiko Fujisue has authored 18 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 13 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Mamiko Fujisue's work include Breast Cancer Treatment Studies (14 papers), HER2/EGFR in Cancer Research (7 papers) and Breast Lesions and Carcinomas (6 papers). Mamiko Fujisue is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), HER2/EGFR in Cancer Research (7 papers) and Breast Lesions and Carcinomas (6 papers). Mamiko Fujisue collaborates with scholars based in Japan. Mamiko Fujisue's co-authors include Nobuyuki Arima, Reiki Nishimura, Tomofumi Osako, Yasuyuki Nishiyama, Masahiro Nakano, Yasuo Toyozumi, Rumiko Tashima, Yasuhiro Okumura, Y Kusunoki and S Kudoh and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Mamiko Fujisue

16 papers receiving 11.3k citations

Hit 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.

Evaluation of Factors Related to Late Recurrence - Later than 10 Years after the Initial Treatment - in Primary Breast Cancer

2013 11.1k citations Reiki Nishimura, Tomofumi Osako et al. Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mamiko Fujisue Japan	11	5.5k	5.4k	5.1k	2.1k	1.5k	18	11.4k
Rumiko Tashima Japan	10	5.6k 1.0×	5.4k 1.0×	5.1k 1.0×	2.1k 1.0×	1.5k 1.0×	21	11.5k
Yasuo Toyozumi Japan	14	5.8k 1.0×	5.5k 1.0×	5.2k 1.0×	2.2k 1.0×	1.5k 1.0×	37	11.8k
Tomofumi Osako Japan	19	6.0k 1.1×	5.7k 1.1×	5.2k 1.0×	2.2k 1.1×	1.6k 1.1×	42	12.1k
Anne‐Lise Børresen‐Dale Norway	18	6.0k 1.1×	6.1k 1.1×	6.3k 1.2×	1.7k 0.8×	1.7k 1.1×	26	12.4k
Øystein Fluge Norway	25	6.4k 1.2×	6.1k 1.1×	6.5k 1.3×	1.9k 0.9×	1.7k 1.1×	91	13.9k
Philip S. Bernard United States	36	5.2k 0.9×	5.6k 1.1×	5.0k 1.0×	1.8k 0.8×	1.3k 0.9×	91	11.2k
Nobuyuki Arima Japan	26	6.3k 1.1×	6.0k 1.1×	5.7k 1.1×	2.4k 1.1×	1.7k 1.1×	86	13.4k
Chad Livasy United States	35	6.6k 1.2×	6.0k 1.1×	3.9k 0.8×	1.8k 0.9×	1.4k 0.9×	95	11.3k
Reiki Nishimura Japan	27	6.8k 1.2×	6.2k 1.2×	5.4k 1.1×	2.6k 1.2×	1.8k 1.2×	131	13.3k
Yasuyuki Nishiyama Japan	16	5.7k 1.0×	5.4k 1.0×	5.4k 1.1×	2.2k 1.0×	1.5k 1.0×	38	12.0k

Countries citing papers authored by Mamiko Fujisue

Since Specialization

Citations

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

Fields of papers citing papers by Mamiko Fujisue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamiko Fujisue

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

All Works

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18 of 18 papers shown

Nishimura, Reiki, Tomofumi Osako, Yasuhiro Okumura, et al.. (2022). An evaluation of lymphovascular invasion in relation to biology and prognosis according to subtypes in invasive breast cancer. Oncology Letters. 24(2). 245–245. 9 indexed citations

Nishimura, Reiki, Tomofumi Osako, Yasuhiro Okumura, et al.. (2022). Triple Negative Breast Cancer: An Analysis of the Subtypes and the Effects of Menopausal Status on Invasive Breast Cancer. Journal of Clinical Medicine. 11(9). 2331–2331. 10 indexed citations

Nakano, M., et al.. (2019). Investigation of the clinicopathological and prognostic risk factors for the recurrence of breast cancer in elderly patients over 75 years of age. The Breast. 44. S140–S141.

Arima, Nobuyuki, Reiki Nishimura, Tomofumi Osako, et al.. (2018). Ki‑67 index value and progesterone receptor status can predict prognosis and suitable treatment in node‑negative breast cancer patients with estrogen receptor‑positive and HER2‑negative tumors. Oncology Letters. 17(1). 616–622. 24 indexed citations

Nishimura, Reiki, Tomofumi Osako, Yasuyuki Nishiyama, et al.. (2017). Biology and prognosis of HER2-negative breast cancer with low-ER and PgR-expressions.. Journal of Clinical Oncology. 35(15_suppl). e12020–e12020. 1 indexed citations

Arima, Nobuyuki, Reiki Nishimura, Tomofumi Osako, et al.. (2015). A Comparison of the Hot Spot and the Average Cancer Cell Counting Methods and the Optimal Cutoff Point of the Ki-67 Index for Luminal Type Breast Cancer. Oncology. 90(1). 43–50. 13 indexed citations

Nakano, Masahiro, Mamiko Fujisue, Rumiko Tashima, et al.. (2015). Survival time according to the year of recurrence and subtype in recurrent breast cancer. The Breast. 24(5). 588–593. 14 indexed citations

Tomiguchi, Mai, Mutsuko Yamamoto‐Ibusuki, Yutaka Yamamoto, et al.. (2015). Prediction of sentinel lymph node status using single-photon emission computed tomography (SPECT)/computed tomography (CT) imaging of breast cancer. Surgery Today. 46(2). 214–223. 1 indexed citations

Osako, Tomofumi, Reiki Nishimura, Yasuyuki Nishiyama, & Mamiko Fujisue. (2015). Pertuzumab for the treatment of patients with human epidermal growth factor receptor 2-positive breast cancer in Japan. Molecular and Clinical Oncology. 3(6). 1268–1274. 2 indexed citations

10.

Osako, Tomofumi, Reiki Nishimura, Yasuyuki Nishiyama, et al.. (2015). Efficacy of intraoperative entire-circumferential frozen section analysis of lumpectomy margins during breast-conserving surgery for breast cancer. International Journal of Clinical Oncology. 20(6). 1093–1101. 35 indexed citations

11.

Arima, Nobuyuki, Reiki Nishimura, Tomofumi Osako, et al.. (2015). The importance of tissue handling of surgically removed breast cancer for an accurate assessment of the Ki-67 index. Journal of Clinical Pathology. 69(3). 255–259. 33 indexed citations

12.

Tashima, Rumiko, Reiki Nishimura, Tomofumi Osako, et al.. (2015). Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study. PLoS ONE. 10(7). e0119565–e0119565. 63 indexed citations

13.

Nishimura, Reiki, Tomofumi Osako, Yasuyuki Nishiyama, et al.. (2014). Prognostic significance of Ki-67 index value at the primary breast tumor in recurrent breast cancer. Molecular and Clinical Oncology. 2(6). 1062–1068. 46 indexed citations

14.

Nishiyama, Yasuyuki, et al.. (2013). A Case of Recurrent Metastasis in the Supraclavicular and Axillary Lymph Nodes and Vertebrae following Irradiation and Paclitaxel Plus Bevacizumab Administration. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 74(8). 2081–2084.

15.

Arima, Nobuyuki, Yasuo Toyozumi, Reiki Nishimura, et al.. (2013). Abstract P1-02-01: Pre-analytical setting is critical for an assessment of the Ki-67 labeling index for breast cancer. Cancer Research. 73(24_Supplement). P1–2. 2 indexed citations

16.

Nishimura, Reiki, Tomofumi Osako, Yasuyuki Nishiyama, et al.. (2013). Evaluation of Factors Related to Late Recurrence - Later than 10 Years after the Initial Treatment - in Primary Breast Cancer. Oncology. 85(2). 100–110. 11102 indexed citations breakdown →

17.

Fujisue, Mamiko, Reiki Nishimura, Yasuhiro Okumura, et al.. (2012). Clinical Significance of CK19 Negative Breast Cancer. Cancers. 5(1). 1–11. 22 indexed citations

18.

Masuda, Norikazu, Makoto Fukuoka, Kazuo Matsui, et al.. (1991). Establishment of Tumor Cell Lines as an Independent Prognostic Factor for Survival Time in Patients With Small-Cell Lung Cancer. JNCI Journal of the National Cancer Institute. 83(23). 1743–1748. 14 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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