Norisato Mitsutake

6.1k total citations
104 papers, 4.0k citations indexed

About

Norisato Mitsutake is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology. According to data from OpenAlex, Norisato Mitsutake has authored 104 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Endocrinology, Diabetes and Metabolism, 48 papers in Molecular Biology and 39 papers in Oncology. Recurrent topics in Norisato Mitsutake's work include Thyroid Cancer Diagnosis and Treatment (58 papers), Cancer-related Molecular Pathways (23 papers) and DNA Repair Mechanisms (10 papers). Norisato Mitsutake is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (58 papers), Cancer-related Molecular Pathways (23 papers) and DNA Repair Mechanisms (10 papers). Norisato Mitsutake collaborates with scholars based in Japan, United States and Ukraine. Norisato Mitsutake's co-authors include Shunichi Yamashita, Vladimir Saenko, James A. Fagin, Michiko Matsuse, Jeffrey A. Knauf, Hiroyuki Namba, Akira Ohtsuru, Tatiana Rogounovitch, Keiji Suzuki and Yuji Nagayama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Norisato Mitsutake

98 papers receiving 3.9k citations

Peers

Norisato Mitsutake
Valentine M. Macaulay United Kingdom
Norisato Mitsutake
Citations per year, relative to Norisato Mitsutake Norisato Mitsutake (= 1×) peers Valentine M. Macaulay

Countries citing papers authored by Norisato Mitsutake

Since Specialization
Citations

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

Fields of papers citing papers by Norisato Mitsutake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norisato Mitsutake

This figure shows the co-authorship network connecting the top 25 collaborators of Norisato Mitsutake. A scholar is included among the top collaborators of Norisato Mitsutake 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 Norisato Mitsutake. Norisato Mitsutake 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.
Nishihara, Eijun, Shuji Fukata, Mitsuyoshi Hirokawa, et al.. (2024). Nodule-Specific NRF2-Targeted Upregulation in Patients With KEAP1 Mutations and Familial Nontoxic Multinodular Goiter. The Journal of Clinical Endocrinology & Metabolism. 110(4). 973–982. 1 indexed citations
2.
Shimamura, Mika, et al.. (2023). Characterization of metabolic reprogramming by metabolomics in the oncocytic thyroid cancer cell line XTC.UC1. Scientific Reports. 13(1). 149–149. 6 indexed citations
3.
Saenko, Vladimir & Norisato Mitsutake. (2023). Radiation-Related Thyroid Cancer. Endocrine Reviews. 45(1). 1–29. 22 indexed citations
4.
Ti, Bogdanova, Tatiana Rogounovitch, Norisato Mitsutake, et al.. (2022). The relationship of the clinicopathological characteristics and treatment results of post-Chornobyl papillary thyroid microcarcinomas with the latency period and radiation exposure. Frontiers in Endocrinology. 13. 1078258–1078258. 2 indexed citations
5.
Matsuse, Michiko, Vladimir Saenko, Tatiana Rogounovitch, et al.. (2021). Preoperative detection of the TERT promoter mutations in papillary thyroid carcinomas. Clinical Endocrinology. 95(5). 790–799. 19 indexed citations
6.
Iwadate, Manabu, Norisato Mitsutake, Michiko Matsuse, et al.. (2020). The Clinicopathological Results of Thyroid Cancer With BRAF V600E Mutation in the Young Population of Fukushima. The Journal of Clinical Endocrinology & Metabolism. 105(12). e4328–e4336. 18 indexed citations
7.
Ti, Bogdanova, Vladimir Saenko, Yuko Hashimoto, et al.. (2020). Papillary Thyroid Carcinoma in Ukraine After Chernobyl and in Japan After Fukushima: Different Histopathological Scenarios. Thyroid. 31(9). 1322–1334. 15 indexed citations
8.
Meng, Zhaowei, Michiko Matsuse, Vladimir Saenko, et al.. (2019). TERT promoter mutation in primary papillary thyroid carcinoma lesions predicts absent or lower 131i uptake in metastases. IUBMB Life. 71(7). 1030–1040. 22 indexed citations
9.
Matsuse, Michiko, Yuka Nakazawa, Tomoo Ogi, et al.. (2019). JAK/STAT3 and NF-κB Signaling Pathways Regulate Cancer Stem-Cell Properties in Anaplastic Thyroid Cancer Cells. Thyroid. 29(5). 674–682. 46 indexed citations
10.
Tanaka, Aya, Michiko Matsuse, Vladimir Saenko, et al.. (2019). TERT mRNA Expression as a Novel Prognostic Marker in Papillary Thyroid Carcinomas. Thyroid. 29(8). 1105–1114. 47 indexed citations
11.
Landa, Iñigo, Ian Ganly, Timothy A. Chan, et al.. (2013). Frequent Somatic TERT Promoter Mutations in Thyroid Cancer: Higher Prevalence in Advanced Forms of the Disease. The Journal of Clinical Endocrinology & Metabolism. 98(9). E1562–E1566. 337 indexed citations
12.
Bychkov, Andrey, Mika Shimamura, Masahiro Nakashima, et al.. (2013). Thyrotropin Signaling Confers More Aggressive Features with Higher Genomic Instability on BRAF V600E -Induced Thyroid Tumors in a Mouse Model. Thyroid. 24(3). 502–510. 20 indexed citations
13.
Kim, Eun‐Sook, Michiko Matsuse, Vladimir Saenko, et al.. (2012). Imatinib Enhances Docetaxel-Induced Apoptosis Through Inhibition of Nuclear Factor-κB Activation in Anaplastic Thyroid Carcinoma Cells. Thyroid. 22(7). 717–724. 26 indexed citations
14.
Kashiyama, Kazuya, Norisato Mitsutake, Michiko Matsuse, et al.. (2012). miR-196a Downregulation Increases the Expression of Type I and III Collagens in Keloid Fibroblasts. Journal of Investigative Dermatology. 132(6). 1597–1604. 118 indexed citations
15.
Ujifuku, Kenta, Norisato Mitsutake, Michiko Matsuse, et al.. (2010). miR-195, miR-455-3p and miR-10a∗ are implicated in acquired temozolomide resistance in glioblastoma multiforme cells. Cancer Letters. 296(2). 241–248. 188 indexed citations
16.
Mitsutake, Norisato & Shunichi Yamashita. (2009). The Role of Cancer Genes in Thyroid Cancer and Molecular Targeted Therapy. Nihon Naika Gakkai Zasshi. 98(8). 1999–2005.
17.
Mitsutake, Norisato, Masahiro Nakashima, Vladimir Saenko, et al.. (2008). DHMEQ, a novel NF-kappaB inhibitor, suppresses growth and type I collagen accumulation in keloid fibroblasts. Journal of Dermatological Science. 51(3). 171–180. 26 indexed citations
18.
AIu, Abrosimov, Vladimir Saenko, Serik Meirmanov, et al.. (2007). The Cytoplasmic Expression of MUC1 in Papillary Thyroid Carcinoma of Different Histological Variants and its Correlation with Cyclin D1 Overexpression. Endocrine Pathology. 18(2). 68–75. 19 indexed citations
19.
Mesa, Cléo Otaviano, M. B. Mirza, Norisato Mitsutake, et al.. (2006). Conditional Activation of RET/PTC3 and BRAFV600E in Thyroid Cells Is Associated with Gene Expression Profiles that Predict a Preferential Role of BRAF in Extracellular Matrix Remodeling. Cancer Research. 66(13). 6521–6529. 116 indexed citations
20.
Kumagai, Atsushi, Hiroyuki Namba, Norisato Mitsutake, et al.. (2006). Childhood thyroid carcinoma with BRAFT1799A mutation shows unique pathological features of poor differentiation. Oncology Reports. 16(1). 123–6. 12 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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