Takayoshi Ubuka

8.1k total citations
93 papers, 6.6k citations indexed

About

Takayoshi Ubuka is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Takayoshi Ubuka has authored 93 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Reproductive Medicine, 31 papers in Endocrine and Autonomic Systems and 23 papers in Genetics. Recurrent topics in Takayoshi Ubuka's work include Hypothalamic control of reproductive hormones (79 papers), Ovarian function and disorders (29 papers) and Regulation of Appetite and Obesity (25 papers). Takayoshi Ubuka is often cited by papers focused on Hypothalamic control of reproductive hormones (79 papers), Ovarian function and disorders (29 papers) and Regulation of Appetite and Obesity (25 papers). Takayoshi Ubuka collaborates with scholars based in Japan, United States and Malaysia. Takayoshi Ubuka's co-authors include Kazuyoshi Tsutsui, George E. Bentley, Kazuyoshi Ukena, Lance J. Kriegsfeld, Tomohiro Osugi, You Lee Son, Vishwajit S. Chowdhury, Kazuhiko Inoue, John C. Wingfield and P. J. Sharp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Takayoshi Ubuka

91 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takayoshi Ubuka Japan 43 5.0k 2.1k 1.8k 1.0k 1.0k 93 6.6k
Kazuyoshi Ukena Japan 53 4.7k 0.9× 2.4k 1.1× 2.1k 1.2× 1.6k 1.6× 1.6k 1.6× 147 8.6k
G. A. Lincoln United Kingdom 53 2.1k 0.4× 3.3k 1.6× 1.6k 0.9× 1.2k 1.1× 607 0.6× 160 8.7k
Alain Caraty France 37 4.9k 1.0× 1.3k 0.6× 1.4k 0.8× 963 0.9× 2.2k 2.2× 68 6.0k
Tomohiro Osugi Japan 29 2.2k 0.4× 781 0.4× 918 0.5× 414 0.4× 681 0.7× 68 3.0k
Fred J. Karsch United States 70 6.8k 1.4× 3.3k 1.6× 3.7k 2.1× 2.4k 2.3× 1.5k 1.5× 176 14.1k
Nancy M. Sherwood Canada 51 4.4k 0.9× 1.1k 0.5× 1.9k 1.1× 1.4k 1.3× 1.8k 1.8× 153 8.9k
Alexander S. Kauffman United States 43 3.8k 0.8× 1.2k 0.6× 1.1k 0.6× 903 0.9× 1.8k 1.8× 91 5.1k
B. K. Follett United Kingdom 50 1.8k 0.4× 2.2k 1.1× 669 0.4× 816 0.8× 685 0.7× 165 7.5k
Stacia A. Sower United States 39 2.1k 0.4× 588 0.3× 1.3k 0.8× 603 0.6× 669 0.7× 169 5.2k
Barney A. Schlinger United States 55 1.2k 0.2× 439 0.2× 2.0k 1.1× 1.7k 1.6× 629 0.6× 174 8.2k

Countries citing papers authored by Takayoshi Ubuka

Since Specialization
Citations

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

Fields of papers citing papers by Takayoshi Ubuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayoshi Ubuka

This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Ubuka. A scholar is included among the top collaborators of Takayoshi Ubuka 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 Takayoshi Ubuka. Takayoshi Ubuka 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.
Mechaly, Alejandro S., et al.. (2025). Ontogeny of gonadotropin-inhibitory hormone cells and fibers in the brain and pituitary gland of the pejerrey fish, Odontesthes bonariensis. General and Comparative Endocrinology. 372. 114788–114788. 1 indexed citations
2.
3.
Ubuka, Takayoshi & Kazuyoshi Tsutsui. (2022). Neuropeptidergic control of neurosteroids biosynthesis. Frontiers in Neuroendocrinology. 65. 100976–100976. 14 indexed citations
4.
Tsutsui, Kazuyoshi & Takayoshi Ubuka. (2021). Gonadotropin-inhibitory hormone (GnIH): A new key neurohormone controlling reproductive physiology and behavior. Frontiers in Neuroendocrinology. 61. 100900–100900. 28 indexed citations
5.
Ubuka, Takayoshi & Kazuyoshi Ukena. (2021). Obituary of Professor Kazuyoshi Tsutsui. Neuroendocrinology. 111(12). 1266–1269.
6.
Tsutsui, Kazuyoshi & Takayoshi Ubuka. (2016). GnIH Control of Feeding and Reproductive Behaviors. Frontiers in Endocrinology. 7. 170–170. 48 indexed citations
7.
Tsutsui, Kazuyoshi & Takayoshi Ubuka. (2014). Breakthrough in neuroendocrinology by discovering novel neuropeptides and neurosteroids: 1. Discovery of gonadotropin-inhibitory hormone (GnIH) across vertebrates. General and Comparative Endocrinology. 205. 4–10. 18 indexed citations
8.
Ubuka, Takayoshi & Kazuyoshi Tsutsui. (2014). Gonadotropin-inhibitory hormone inhibits aggressive behavior of male quail by increasing neuroestrogen synthesis in the brain beyond its optimum concentration. General and Comparative Endocrinology. 205. 49–54. 15 indexed citations
9.
McConn, Betty R., Guoqing Wang, Elizabeth R. Gilbert, et al.. (2014). Gonadotropin-inhibitory hormone-stimulation of food intake is mediated by hypothalamic effects in chicks. Neuropeptides. 48(6). 327–334. 73 indexed citations
10.
Ubuka, Takayoshi, George E. Bentley, & Kazuyoshi Tsutsui. (2013). Neuroendocrine regulation of gonadotropin secretion in seasonally breeding birds. Frontiers in Neuroscience. 7. 38–38. 68 indexed citations
11.
Ubuka, Takayoshi, You Lee Son, George E. Bentley, Robert P. Millar, & Kazuyoshi Tsutsui. (2013). Gonadotropin-inhibitory hormone (GnIH), GnIH receptor and cell signaling. General and Comparative Endocrinology. 190. 10–17. 85 indexed citations
12.
Osugi, Tomohiro, et al.. (2012). Evolutionary Origin of the Structure and Function of Gonadotropin-Inhibitory Hormone: Insights from Lampreys. Endocrinology. 153(5). 2362–2374. 65 indexed citations
13.
Stevenson, Tyler J., George E. Bentley, Takayoshi Ubuka, et al.. (2008). Effects of social cues on GnRH-I, GnRH-II, and reproductive physiology in female house sparrows (Passer domesticus). General and Comparative Endocrinology. 156(2). 385–394. 46 indexed citations
14.
15.
Bentley, George E., Takayoshi Ubuka, Nicolette L. McGuire, et al.. (2007). Gonadotropin-inhibitory hormone and its receptor in the avian reproductive system. General and Comparative Endocrinology. 156(1). 34–43. 147 indexed citations
16.
Kriegsfeld, Lance J., Dan Mei, George E. Bentley, et al.. (2006). Identification and characterization of a gonadotropin-inhibitory system in the brains of mammals. Proceedings of the National Academy of Sciences. 103(7). 2410–2415. 476 indexed citations
17.
Ubuka, Takayoshi, Kazuyoshi Ukena, P. J. Sharp, George E. Bentley, & Kazuyoshi Tsutsui. (2005). Gonadotropin-Inhibitory Hormone Inhibits Gonadal Development and Maintenance by Decreasing Gonadotropin Synthesis and Release in Male Quail. Endocrinology. 147(3). 1187–1194. 244 indexed citations
18.
Ciccone, Nick, Ian Dunn, Timothy Boswell, et al.. (2004). Gonadotrophin Inhibitory Hormone Depresses Gonadotrophin α and Follicle‐Stimulating Hormone β Subunit Expression in the Pituitary of the Domestic Chicken. Journal of Neuroendocrinology. 16(12). 999–1006. 161 indexed citations
19.
20.
Ukena, Kazuyoshi, Takayoshi Ubuka, & Kazuyoshi Tsutsui. (2003). Distribution of a novel avian gonadotropin-inhibitory hormone in the quail brain. Cell and Tissue Research. 312(1). 73–79. 161 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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