Tadayoshi Hayata

2.1k total citations
76 papers, 1.7k citations indexed

About

Tadayoshi Hayata is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Tadayoshi Hayata has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 22 papers in Oncology and 17 papers in Genetics. Recurrent topics in Tadayoshi Hayata's work include Bone Metabolism and Diseases (25 papers), Bone health and treatments (20 papers) and TGF-β signaling in diseases (10 papers). Tadayoshi Hayata is often cited by papers focused on Bone Metabolism and Diseases (25 papers), Bone health and treatments (20 papers) and TGF-β signaling in diseases (10 papers). Tadayoshi Hayata collaborates with scholars based in Japan, United States and Sri Lanka. Tadayoshi Hayata's co-authors include Yoichi Ezura, Masaki Noda, Kazuhisa Nakashima, Makoto Asashima, Ken W. Y. Cho, Tetsuya Koide, Hiroaki Hemmi, Fumitaka Mizoguchi, Yayoi Izu and Takuya Notomi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Tadayoshi Hayata

76 papers receiving 1.7k citations

Peers

Tadayoshi Hayata
Frédéric Morvan Switzerland
Julie Lacombe United States
Hosung Min United States
Shun-ichi Harada United States
Anthony J. Mirando United States
Sheila M. Bell United States
Tadayoshi Hayata
Citations per year, relative to Tadayoshi Hayata Tadayoshi Hayata (= 1×) peers Toshihiro Miyazaki

Countries citing papers authored by Tadayoshi Hayata

Since Specialization
Citations

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

Fields of papers citing papers by Tadayoshi Hayata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayoshi Hayata

This figure shows the co-authorship network connecting the top 25 collaborators of Tadayoshi Hayata. A scholar is included among the top collaborators of Tadayoshi Hayata 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 Tadayoshi Hayata. Tadayoshi Hayata 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.
Kohara, Yukihiro, et al.. (2024). Gprc5a is a novel parathyroid hormone‐inducible gene and negatively regulates osteoblast proliferation and differentiation. Journal of Cellular Physiology. 239(8). e31297–e31297. 2 indexed citations
2.
Muramatsu, Tomoki, Hidetsugu Suzuki, Kazuyuki Fukushima, et al.. (2023). Identification of a Biallelic Missense Variant in Gasdermin D ( c.823G > C, p.Asp275His ) in a Patient of Atypical Gorham‐Stout Disease in a Consanguineous Family. JBMR Plus. 7(9). e10784–e10784. 4 indexed citations
3.
Matsuo‐Takasaki, Mami, Miho Takami, Michiya Noguchi, et al.. (2022). Generation of human induced pluripotent stem cell lines derived from four DiGeorge syndrome patients with 22q11.2 deletion. Stem Cell Research. 61. 102744–102744. 5 indexed citations
4.
Takami, Miho, Mami Matsuo‐Takasaki, Jun Inoue, et al.. (2020). Generation of two human induced pluripotent stem cell lines derived from two juvenile nephronophthisis patients with NPHP1 deletion. Stem Cell Research. 45. 101815–101815. 8 indexed citations
5.
Hayashi, Naoki, Tsuyoshi Sato, Shoichiro Kokabu, et al.. (2018). Possible association of oestrogen and Cryba4 with masticatory muscle tendon‐aponeurosis hyperplasia. Oral Diseases. 25(1). 274–281. 5 indexed citations
6.
Böttcher, Ralph T., Mercedes Costell, Yayoi Izu, et al.. (2018). Profilin 1 Negatively Regulates Osteoclast Migration in Postnatal Skeletal Growth, Remodeling, and Homeostasis in Mice. JBMR Plus. 3(6). e10130–e10130. 11 indexed citations
7.
Hayata, Tadayoshi, Takuya Notomi, Yayoi Izu, et al.. (2014). PTH Regulates β2‐Adrenergic Receptor Expression in Osteoblast‐Like MC3T3‐E1 Cells. Journal of Cellular Biochemistry. 116(1). 142–148. 16 indexed citations
8.
Wehbi, Vanessa L., Tadayoshi Hayata, Timothy N. Feinstein, et al.. (2012). Anabolic action of parathyroid hormone regulated by the β 2 -adrenergic receptor. Proceedings of the National Academy of Sciences. 109(19). 7433–7438. 53 indexed citations
9.
Nakamoto, Tetsuya, Hiroaki Hemmi, Sohei Kitazawa, et al.. (2012). CIZ/NMP4 is expressed in B16 melanoma and forms a positive feedback loop with RANKL to promote migration of the melanoma cells. Journal of Cellular Physiology. 227(7). 2807–2812. 9 indexed citations
10.
Kawamata, Aya, Akane Inoue, Hiroaki Hemmi, et al.. (2011). Dok-1 and Dok-2 deficiency induces osteopenia via activation of osteoclasts. Journal of Cellular Physiology. 226(12). 3087–3093. 8 indexed citations
11.
12.
Hayashi, Chikako, Urara Hasegawa, Yoshitomo Saita, et al.. (2009). Osteoblastic bone formation is induced by using nanogel‐crosslinking hydrogel as novel scaffold for bone growth factor. Journal of Cellular Physiology. 220(1). 1–7. 75 indexed citations
13.
Hayata, Tadayoshi, Tetsuya Nakamoto, Yoichi Ezura, & Masaki Noda. (2008). Ciz, a transcription factor with a nucleocytoplasmic shuttling activity, interacts with C-propeptides of type I collagen. Biochemical and Biophysical Research Communications. 368(2). 205–210. 7 indexed citations
14.
Ono, Noriaki, Kazuhisa Nakashima, Ernestina Schipani, et al.. (2007). Constitutively Active Parathyroid Hormone Receptor Signaling in Cells in Osteoblastic Lineage Suppresses Mechanical Unloading-induced Bone Resorption. Journal of Biological Chemistry. 282(35). 25509–25516. 21 indexed citations
15.
Yukita, Akira, Tadayoshi Hayata, Toshiyasu Goto, et al.. (2007). Xenopus glucose transporter 1 (xGLUT1) is required for gastrulation movement in Xenopus laevis. The International Journal of Developmental Biology. 51(3). 183–190. 9 indexed citations
16.
Ogata, Souichi, et al.. (2006). A novel FLRT3 and Rnd1 pathway involved in TGF-β signaling-mediated cellular morphogenesis. Developmental Biology. 295(1). 393–393. 1 indexed citations
17.
Bubnoff, Andreas von, Daniel A. Peiffer, Ira L. Blitz, et al.. (2005). Phylogenetic footprinting and genome scanning identify vertebrate BMP response elements and new target genes. Developmental Biology. 281(2). 210–226. 56 indexed citations
18.
Hayata, Tadayoshi, et al.. (2003). Screening for novel pancreatic genes from in vitro‐induced pancreas in Xenopus. Development Growth & Differentiation. 45(2). 143–152. 9 indexed citations
19.
Hayata, Tadayoshi, et al.. (1999). Expression of Xenopus T-box transcription factor, Tbx2 in Xenopus embryo. Development Genes and Evolution. 209(10). 625–628. 21 indexed citations
20.
Hayata, Tadayoshi, et al.. (1981). 323. Trial of Staining of Estrogen Receptor in Rat Uterus Using Newly Synthesized Estradiol-Peroxidase Conjugate. 日本産科婦人科學會雜誌. 33(12). 2362–2363. 2 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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