Miyuki Katai

922 total citations
35 papers, 576 citations indexed

About

Miyuki Katai is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Miyuki Katai has authored 35 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 14 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Miyuki Katai's work include Neuroendocrine Tumor Research Advances (16 papers), Neuroblastoma Research and Treatments (9 papers) and Lung Cancer Research Studies (7 papers). Miyuki Katai is often cited by papers focused on Neuroendocrine Tumor Research Advances (16 papers), Neuroblastoma Research and Treatments (9 papers) and Lung Cancer Research Studies (7 papers). Miyuki Katai collaborates with scholars based in Japan and United States. Miyuki Katai's co-authors include Kiyoshi Hashizume, Akihiro Sakurai, Elia J. Duh, Keisuke Mori, Donald J. Zack, Elaine M. Youngman, Peter Gehlbach, Kiyoshi Suzuma, Joel Pearlman and Peter A. Campochiaro and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Heart and Circulatory Physiology and Transplantation.

In The Last Decade

Miyuki Katai

33 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miyuki Katai Japan 13 206 174 150 125 113 35 576
Douglas A. Balster United States 8 182 0.9× 147 0.8× 32 0.2× 98 0.8× 93 0.8× 9 383
Maja Walier Germany 9 214 1.0× 191 1.1× 286 1.9× 115 0.9× 69 0.6× 15 783
Dagmar Arnold United States 8 403 2.0× 73 0.4× 48 0.3× 33 0.3× 141 1.2× 11 630
Yo‐ichi Takei Japan 20 739 3.6× 201 1.2× 141 0.9× 154 1.2× 120 1.1× 70 1.3k
Susanne Dallinger Austria 15 265 1.3× 37 0.2× 420 2.8× 71 0.6× 84 0.7× 18 818
Kristen D. Hadfield United Kingdom 8 232 1.1× 121 0.7× 26 0.2× 121 1.0× 117 1.0× 11 514
Sophie Valleix France 19 603 2.9× 40 0.2× 160 1.1× 28 0.2× 48 0.4× 50 1.0k
Clarisse L. Dolman Canada 15 104 0.5× 220 1.3× 37 0.2× 324 2.6× 43 0.4× 22 781
Michelle Thill Germany 12 182 0.9× 48 0.3× 101 0.7× 16 0.1× 76 0.7× 20 421
Sirpa Loukovaara Finland 18 299 1.5× 32 0.2× 587 3.9× 37 0.3× 55 0.5× 56 970

Countries citing papers authored by Miyuki Katai

Since Specialization
Citations

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

Fields of papers citing papers by Miyuki Katai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyuki Katai

This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Katai. A scholar is included among the top collaborators of Miyuki Katai 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 Miyuki Katai. Miyuki Katai 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
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Katai, Miyuki, Kanako Sakurai, Megumi Fujita, Mayumi Yamamoto, & Mari Hotta Suzuki. (2019). Reducing the gender gap in academic activities: a 10-year progress report by the Japan Endocrine Society Women Endocrinologists Association (JES-We-Can). Endocrine Journal. 66(4). 359–368. 3 indexed citations
5.
Katai, Miyuki, Akihiro Sakurai, Noboru Watanabe, et al.. (2006). Introduction of gender- and sex-specific medicine into the medical education curriculum in Japan. Gender Medicine. 3. S57–S57.
6.
Nishimura, Yoshihiro, Koh Yamashita, Wataru Yumita, et al.. (2004). Multiple Endocrine Neoplasia Type 1 with Unusual Concomitance of Various Neoplastic Disorders. Endocrine Journal. 51(1). 75–81. 5 indexed citations
7.
Duh, Elia J., Hoseong S. Yang, Izumi Suzuma, et al.. (2002). Pigment epithelium-derived factor suppresses ischemia-induced retinal neovascularization and VEGF-induced migration and growth.. PubMed. 43(3). 821–9. 248 indexed citations
8.
Katai, Miyuki, et al.. (2001). Primary Hyperparathyroidism in Patients with Multiple Endocrine Neoplasia Type 1: Comparison with Sporadic Parathyroid Adenomas. Hormone and Metabolic Research. 33(8). 499–503. 16 indexed citations
9.
Sakurai, Akihiro, et al.. (2000). Enhanced sensitivity to alkylating agent in lymphocytes from patients with multiple endocrine neoplasia type 1. Biomedicine & Pharmacotherapy. 54. 187s–190s. 22 indexed citations
10.
Zhang, Xun, Daniel C. Danila, Miyuki Katai, Brooke Swearingen, & Anne Klibanski. (1999). Expression of Prolactin-Releasing Peptide and Its Receptor Messenger Ribonucleic Acid in Normal Human Pituitary and Pituitary Adenomas1. The Journal of Clinical Endocrinology & Metabolism. 84(12). 4652–4655. 24 indexed citations
11.
Nakazawa, K., et al.. (1999). Preexisting Membranous Nephropathy in Allograft Kidney. ˜The œNephron journals/Nephron journals. 81(1). 76–80. 14 indexed citations
12.
Sakurai, Akihiro, et al.. (1999). Premature Centromere Division in Patients with Multiple Endocrine Neoplasia Type 1. Cancer Genetics and Cytogenetics. 109(2). 138–140. 25 indexed citations
13.
Katai, Miyuki, et al.. (1998). Ligand- and Nuclear Factor-Dependent Change in Hydrophobicity of Thyroid Hormone β 1 Receptor. Thyroid. 8(4). 343–352. 3 indexed citations
14.
Sakurai, Atsushi, Shuya Shirahama, Maiko Fujimori, et al.. (1998). Novel MEN1 gene mutations in familial multiple endocrine neoplasia type 1. Journal of Human Genetics. 43(3). 199–201. 34 indexed citations
15.
Katai, Miyuki, Akihiro Sakurai, Kazuo Ichikawa, et al.. (1997). SARCOMATOID RENAL CELL CARCINOMA WITH WIDESPREAD METASTASES TO LIVER AND BONES IN A KIDNEY TRANSPLANT RECIPIENT. Transplantation. 63(9). 1361–1363. 2 indexed citations
16.
Sakurai, Akihiro, et al.. (1996). Genetic Screening in Hereditary Multiple Endocrine Neoplasia Type 1: Absence of a Founder Effect among Japanese Families. Japanese Journal of Cancer Research. 87(9). 985–994. 16 indexed citations
17.
Sakurai, Atsushi, Miyuki Katai, Kenichi Furihata, & Kiyoshi Hashizume. (1996). Gs alpha mutation may be uncommon in patients with multiple endocrine neoplasia type 1.. The Journal of Clinical Endocrinology & Metabolism. 81(6). 2394–2396. 4 indexed citations
18.
Sakurai, Akihiro, Satoru Suzuki, Miyuki Katai, et al.. (1995). Transcriptional regulation of human thyroid hormone receptor β1 gene expression: effect of human retinoid X receptor and identification of a transcriptional silencer region. Molecular and Cellular Endocrinology. 110(1-2). 103–112. 7 indexed citations
19.
Katai, Miyuki, Toru Aizawa, Kunihide Hiramatsu, et al.. (1994). Acquired Amegakaryocytic Thrombocytopenic Purpura with Humoral Inhibitory Factor for Megakaryocyte Colony Formation.. Internal Medicine. 33(3). 147–149. 15 indexed citations
20.
Hashizume, Kiyoshi, Kazuo Ichikawa, Teiji Takeda, et al.. (1993). Induction of Cytosolic Triiodo-L-Thyronine (T3) Binding Protein (CTBP) by T3 in Primary Cultured Rat Hepatocytes.. Endocrine Journal. 40(4). 399–404. 7 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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