Y Tone

1.2k total citations
9 papers, 963 citations indexed

About

Y Tone is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Y Tone has authored 9 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Y Tone's work include Thyroid Disorders and Treatments (4 papers), Estrogen and related hormone effects (3 papers) and Hypothalamic control of reproductive hormones (2 papers). Y Tone is often cited by papers focused on Thyroid Disorders and Treatments (4 papers), Estrogen and related hormone effects (3 papers) and Hypothalamic control of reproductive hormones (2 papers). Y Tone collaborates with scholars based in United Kingdom, Italy and Japan. Y Tone's co-authors include Krishna Chatterjee, Matthew Adams, Trevor N. Collingwood, P. Beck‐Peccoz, Charles H. Matthews, Masahide Tone, Paul J. Fairchild, Herman Waldmann, Sara Thompson and Stefano Borgato and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Y Tone

9 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Y Tone United Kingdom	8	517	375	330	208	158	9	963
Nathalie Allioli France	14	540 1.0×	138 0.4×	154 0.5×	131 0.6×	96 0.6×	19	926
Lynda Little-Ihrig United States	14	319 0.6×	106 0.3×	194 0.6×	319 1.5×	131 0.8×	22	795
Pasi Nokelainen Finland	12	269 0.5×	352 0.9×	359 1.1×	66 0.3×	56 0.4×	12	787
John S. Dallas United States	16	228 0.4×	493 1.3×	136 0.4×	141 0.7×	135 0.9×	28	757
Rita Kempf Germany	9	174 0.3×	146 0.4×	227 0.7×	218 1.0×	285 1.8×	11	589
Meng‐Yin Tsai Taiwan	18	382 0.7×	130 0.3×	246 0.7×	277 1.3×	103 0.7×	23	933
Anne Houllier France	14	335 0.6×	110 0.3×	178 0.5×	84 0.4×	385 2.4×	19	1.0k
Miki Yoshino Japan	13	342 0.7×	54 0.1×	169 0.5×	106 0.5×	60 0.4×	18	561
Mikihiro Yoshie Japan	21	276 0.5×	59 0.2×	126 0.4×	339 1.6×	475 3.0×	51	952
Jacques Leclère France	10	222 0.4×	372 1.0×	122 0.4×	39 0.2×	86 0.5×	15	614

Countries citing papers authored by Y Tone

Since Specialization

Citations

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

Fields of papers citing papers by Y Tone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Tone

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Tone, Y, Jianqiang Sun, & Koji Kadota. (2023). Methods for analyzing next-generation sequencing data 21. Generation of simulated count data. 34(2). 83–90. 1 indexed citations

Fairchild, Paul J., Frances A. Brook, R. L. Gardner, et al.. (2000). Directed differentiation of dendritic cells from mouse embryonic stem cells. Current Biology. 10(23). 1515–1518. 111 indexed citations

Tone, Masahide, Sara Thompson, Y Tone, Paul J. Fairchild, & Herman Waldmann. (1997). Regulation of IL-18 (IFN-gamma-inducing factor) gene expression. The Journal of Immunology. 159(12). 6156–6163. 141 indexed citations

Adams, Matthew, Charles H. Matthews, Trevor N. Collingwood, et al.. (1994). Genetic analysis of 29 kindreds with generalized and pituitary resistance to thyroid hormone. Identification of thirteen novel mutations in the thyroid hormone receptor beta gene.. Journal of Clinical Investigation. 94(2). 506–515. 186 indexed citations

Miyazaki, Tôru, Kazuhisa Yamamoto, Y Tone, et al.. (1994). A Human Monoclonal Antibody to High‐Frequency Red Cell Antigen Jr^a. Vox Sanguinis. 66(1). 51–54. 14 indexed citations

Tone, Y, Trevor N. Collingwood, Matthew Adams, & Krishna Chatterjee. (1994). Functional analysis of a transactivation domain in the thyroid hormone beta receptor.. Journal of Biological Chemistry. 269(49). 31157–31161. 110 indexed citations

Collingwood, Trevor N., Matthew Adams, Y Tone, & Krishna Chatterjee. (1994). Spectrum of transcriptional, dimerization, and dominant negative properties of twenty different mutant thyroid hormone beta-receptors in thyroid hormone resistance syndrome.. Molecular Endocrinology. 8(9). 1262–1277. 116 indexed citations

Matthews, Charles H., Stefano Borgato, P. Beck‐Peccoz, et al.. (1993). Primary amenorrhoea and infertility due to a mutation in the β–subunit of follicle–stimulating hormone. Nature Genetics. 5(1). 83–86. 247 indexed citations

Adams, Matthew, Takashi Nagaya, Y Tone, J. Larry Jameson, & Krishna Chatterjee. (1992). Functional properties of a novel mutant thyroid hormone receptor in a family with generalized thyroid hormone resistance syndrome. Clinical Endocrinology. 36(3). 281–289. 37 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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