Hiroko Misawa

552 total citations
17 papers, 450 citations indexed

About

Hiroko Misawa is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hiroko Misawa has authored 17 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hiroko Misawa's work include Thyroid Disorders and Treatments (6 papers), Estrogen and related hormone effects (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Hiroko Misawa is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), Estrogen and related hormone effects (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Hiroko Misawa collaborates with scholars based in Japan. Hiroko Misawa's co-authors include Hirotoshi Nakamura, Shigekazu Sasaki, Akio Matsushita, Yumiko Kashiwabara, Koji Nagayama, Kozo Nishiyama, Hiroyuki Iwaki, Kenji Ohba, Masami Inada and Hiroaki Takeda and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Hiroko Misawa

14 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroko Misawa Japan 12 235 154 139 74 53 17 450
Lei‐Ya Fang Taiwan 7 220 0.9× 88 0.6× 133 1.0× 40 0.5× 41 0.8× 7 519
Kátia N. Ebina Brazil 7 175 0.7× 219 1.4× 82 0.6× 33 0.4× 30 0.6× 7 429
Sheila L. Morris United States 7 365 1.6× 178 1.2× 102 0.7× 51 0.7× 59 1.1× 7 497
Dunyong Tan United States 11 152 0.6× 118 0.8× 92 0.7× 63 0.9× 18 0.3× 18 343
Roberta Poli Italy 8 335 1.4× 195 1.3× 138 1.0× 41 0.6× 39 0.7× 10 518
Adrienne S. McCampbell United States 12 253 1.1× 53 0.3× 105 0.8× 80 1.1× 25 0.5× 15 537
A Kawaoi Japan 12 168 0.7× 254 1.6× 79 0.6× 36 0.5× 99 1.9× 22 519
Nazario Esposito France 8 146 0.6× 273 1.8× 68 0.5× 85 1.1× 33 0.6× 9 356
Shuji Nagasaki Japan 15 263 1.1× 100 0.6× 236 1.7× 377 5.1× 35 0.7× 18 688
Álvaro Acebrón Spain 10 228 1.0× 191 1.2× 54 0.4× 77 1.0× 32 0.6× 11 414

Countries citing papers authored by Hiroko Misawa

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Misawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Misawa

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

All Works

17 of 17 papers shown
1.
Iinuma, Masahiro, Nagisa Arimitsu, Jun Shimizu, et al.. (2015). Induction of neural cells with spinal motoneuron phenotype from human iPS cells and the transplantation to totally transected spinal cords in mice. Inflammation and Regeneration. 35(3). 154–163. 4 indexed citations
2.
Misawa, Hiroko, et al.. (2014). Pax7 Gene Induction Rapidly Regulates Myocyte Homeostasis in Human Induced Pluripotent Stem (iPS) Cells. 5(2). 59–67.
3.
Iwaki, Hiroyuki, Shigekazu Sasaki, Akio Matsushita, et al.. (2014). Essential Role of TEA Domain Transcription Factors in the Negative Regulation of the MYH 7 Gene by Thyroid Hormone and Its Receptors. PLoS ONE. 9(4). e88610–e88610. 17 indexed citations
4.
Misawa, Hiroko, Shigekazu Sasaki, Akio Matsushita, et al.. (2012). Liganded Thyroid Hormone Receptor Inhibits Phorbol 12-O-Tetradecanoate-13-Acetate-Induced Enhancer Activity via Firefly Luciferase cDNA. PLoS ONE. 7(1). e28916–e28916. 6 indexed citations
5.
Ohba, Kenji, Shigekazu Sasaki, Akio Matsushita, et al.. (2011). GATA2 Mediates Thyrotropin-Releasing Hormone-Induced Transcriptional Activation of the Thyrotropin β Gene. PLoS ONE. 6(4). e18667–e18667. 23 indexed citations
6.
Sasaki, Shigekazu, Hiroshi Morita, Yutaka Oki, et al.. (2010). The role of the amino-terminal domain in the interaction of unliganded peroxisome proliferator-activated receptor γ-2 with nuclear receptor co-repressor. Journal of Molecular Endocrinology. 45(3). 133–145. 13 indexed citations
7.
Kashiwabara, Yumiko, Shigekazu Sasaki, Akio Matsushita, et al.. (2008). Functions of PIT1 in GATA2-dependent transactivation of the thyrotropin β promoter. Journal of Molecular Endocrinology. 42(3). 225–237. 23 indexed citations
8.
Nagayama, Koji, Shigekazu Sasaki, Akio Matsushita, et al.. (2008). Inhibition of GATA2-dependent transactivation of the TSHβ gene by ligand-bound estrogen receptor α. Journal of Endocrinology. 199(1). 113–125. 12 indexed citations
9.
Matsushita, Akio, Shigekazu Sasaki, Yumiko Kashiwabara, et al.. (2007). Essential Role of GATA2 in the Negative Regulation of Thyrotropin β Gene by Thyroid Hormone and Its Receptors. Molecular Endocrinology. 21(4). 865–884. 43 indexed citations
10.
Sasaki, Shigekazu, et al.. (2006). 1,25-dihydroxyvitamin D3 and its receptor inhibit the chenodeoxycholic acid-dependent transactivation by farnesoid X receptor. Journal of Endocrinology. 188(3). 635–643. 50 indexed citations
11.
Sasaki, Shigekazu, et al.. (2004). Unliganded Thyroid Hormone Receptor-β1 Represses Liver X Receptor α/Oxysterol-Dependent Transactivation. Endocrinology. 145(12). 5515–5524. 32 indexed citations
12.
Misawa, Hiroko, Kazunori Ochiai, Makoto Yasuda, & Tadao Tanaka. (2004). [Combination chemotherapy with docetaxel and carboplatin for epithelial ovarian cancer].. PubMed. 62 Suppl 10. 546–9.
13.
Nakano, Keiko, Akio Matsushita, Shigekazu Sasaki, et al.. (2004). Thyroid-hormone-dependent negative regulation of thyrotropin beta gene by thyroid hormone receptors: study with a new experimental system using CV1 cells. Biochemical Journal. 378(2). 549–557. 38 indexed citations
14.
Natsume, Hiroko, Shigekazu Sasaki, Masatoshi Kitagawa, et al.. (2003). β-Catenin/Tcf-1-mediated transactivation of cyclin D1 promoter is negatively regulated by thyroid hormone. Biochemical and Biophysical Research Communications. 309(2). 408–413. 42 indexed citations
15.
Tsushima, Hiroshi, Nobuyuki Ito, Satoru Tamura, et al.. (2001). Circulating transforming growth factor beta 1 as a predictor of liver metastasis after resection in colorectal cancer.. PubMed. 7(5). 1258–62. 127 indexed citations
16.
Misawa, Hiroko, et al.. (2000). Very strong correlation between dominant negative activities of mutant thyroid hormone receptors and their binding avidity for corepressor SMRT. Journal of Endocrinology. 167(3). 493–503. 17 indexed citations
17.
YANAURA, Saizo, et al.. (1977). CLINICAL ASSESSMENT OF ANALGESICS USING ULTRASONIC STIMULATION — A NEW METHOD —. The Japanese Journal of Pharmacology. 27(4). 501–508. 3 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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