K Ashizawa

960 total citations
17 papers, 785 citations indexed

About

K Ashizawa is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, K Ashizawa has authored 17 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in K Ashizawa's work include Thyroid Disorders and Treatments (7 papers), Estrogen and related hormone effects (5 papers) and Erythrocyte Function and Pathophysiology (2 papers). K Ashizawa is often cited by papers focused on Thyroid Disorders and Treatments (7 papers), Estrogen and related hormone effects (5 papers) and Erythrocyte Function and Pathophysiology (2 papers). K Ashizawa collaborates with scholars based in Japan, United States and United Kingdom. K Ashizawa's co-authors include Sheue-yann Cheng, Chen Liang, Mark C. Willingham, Shigenobu Nagataki, Kwang‐Huei Lin, C. Thomas Caskey, Michael J. Siciliano, Hironori Kimura, Darren G. Monckton and Motomori Izumi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

K Ashizawa

17 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K Ashizawa Japan 13 463 349 238 108 108 17 785
R Toccafondi Italy 14 347 0.7× 563 1.6× 148 0.6× 97 0.9× 43 0.4× 52 906
Maria Silvia Giretti Italy 17 223 0.5× 218 0.6× 445 1.9× 80 0.7× 49 0.5× 18 829
Aline Kowalski France 14 576 1.2× 295 0.8× 83 0.3× 87 0.8× 70 0.6× 18 907
Jacques Pantel France 13 360 0.8× 499 1.4× 307 1.3× 70 0.6× 32 0.3× 22 1.0k
Deanna R. Brickley United States 10 521 1.1× 127 0.4× 215 0.9× 38 0.4× 122 1.1× 12 869
Benjamin Turgeon Canada 12 582 1.3× 89 0.3× 90 0.4× 73 0.7× 62 0.6× 14 781
Fernando Ribeiro-Neto United States 15 825 1.8× 95 0.3× 80 0.3× 139 1.3× 75 0.7× 18 1.0k
J Bársony United States 11 506 1.1× 118 0.3× 295 1.2× 47 0.4× 38 0.4× 14 852
Jörg Leers Sweden 9 421 0.9× 79 0.2× 348 1.5× 67 0.6× 48 0.4× 9 652
Deborah A. Lazzarino United States 15 584 1.3× 179 0.5× 68 0.3× 57 0.5× 184 1.7× 19 872

Countries citing papers authored by K Ashizawa

Since Specialization
Citations

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

Fields of papers citing papers by K Ashizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Ashizawa

This figure shows the co-authorship network connecting the top 25 collaborators of K Ashizawa. A scholar is included among the top collaborators of K Ashizawa 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 K Ashizawa. K Ashizawa 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.
Hida, Ayumi, Masazumi Akahoshi, Yukinori Takagi, et al.. (2007). Prevalence of Sjögren syndrome among Nagasaki atomic bomb survivors. Annals of the Rheumatic Diseases. 67(5). 689–695. 8 indexed citations
2.
Sera, Nobuko, Atsushi Kawakami, Tomoki Nakashima, et al.. (2001). Fas/FasL mediated apoptosis of thyrocytes in Graves' disease. Clinical & Experimental Immunology. 124(2). 197–207. 20 indexed citations
3.
Monckton, Darren G., et al.. (1997). Hypermutable myotonic dystrophy CTG repeats in transgenic mice. Nature Genetics. 15(2). 193–196. 103 indexed citations
4.
Ejima, Eri, Yasuyo Abe, K Ashizawa, et al.. (1997). Cultured oncogenic osteomalacia tumor cells produce a factor(s) that inhibits osteocalcin production by osteoblastic cells. Oncology Reports. 4(6). 1327–30. 3 indexed citations
5.
Nagayama, Yuji, Hironori Yamasaki, Akira Takeshita, et al.. (1995). Thyrotropin binding specificity for the thyrotropin receptor. Journal of Endocrinological Investigation. 18(4). 283–287. 2 indexed citations
6.
Yokoyama, Naokata, Motomori Izumi, T Nishikawa, et al.. (1995). Untreated Graves' disease patients without clinical ophthalmopathy demonstrate a high frequency of extraocular muscle (EOM) enlargement by magnetic resonance.. The Journal of Clinical Endocrinology & Metabolism. 80(9). 2830–2833. 78 indexed citations
7.
Nagayama, Yuji, Masaya Shigeno, Yoichi Nakagawa, et al.. (1994). Acquired nephrogenic diabetes insipidus secondary to distal renal tubular acidosis and nephrocalcinosis associated with Sjögren’s syndrome. Journal of Endocrinological Investigation. 17(8). 659–663. 12 indexed citations
8.
Ashizawa, K, et al.. (1994). Phosphorylation enhances the target gene sequence-dependent dimerization of thyroid hormone receptor with retinoid X receptor.. Proceedings of the National Academy of Sciences. 91(17). 7927–7931. 50 indexed citations
9.
Nagayama, Yuji, Gregorio D. Chazenbalk, Akira Takeshita, et al.. (1994). Studies on homologous desensitization of the thyrotropin receptor in 293 human embryonal kidney cells.. Endocrinology. 135(3). 1060–1065. 12 indexed citations
10.
Meier, Christoph A., et al.. (1993). Interaction of human beta 1 thyroid hormone receptor and its mutants with DNA and retinoid X receptor beta. T3 response element-dependent dominant negative potency.. Journal of Clinical Investigation. 92(4). 1986–1993. 74 indexed citations
11.
Ashizawa, K & Shigenobu Nagataki. (1993). [Pituitary resistance to thyroid hormone].. PubMed. 51(10). 2726–30. 2 indexed citations
12.
Lin, Kwang‐Huei, K Ashizawa, & Sheue-yann Cheng. (1992). Phosphorylation stimulates the transcriptional activity of the human beta 1 thyroid hormone nuclear receptor.. Proceedings of the National Academy of Sciences. 89(16). 7737–7741. 69 indexed citations
13.
Ashizawa, K & Sheue-yann Cheng. (1992). Regulation of thyroid hormone receptor-mediated transcription by a cytosol protein.. Proceedings of the National Academy of Sciences. 89(19). 9277–9281. 39 indexed citations
14.
Meier, Christoph A., Bruce Dickstein, K Ashizawa, et al.. (1992). Variable transcriptional activity and ligand binding of mutant beta 1 3,5,3'-triiodothyronine receptors from four families with generalized resistance to thyroid hormone.. Molecular Endocrinology. 6(2). 248–258. 100 indexed citations
15.
Ashizawa, K, Mark C. Willingham, Chen Liang, & Sheue-yann Cheng. (1991). In vivo regulation of monomer-tetramer conversion of pyruvate kinase subtype M2 by glucose is mediated via fructose 1,6-bisphosphate.. Journal of Biological Chemistry. 266(25). 16842–16846. 136 indexed citations
16.
Ashizawa, K, Shunichi Yamashita, Yuji Nagayama, et al.. (1989). INTERFERON-yINHIBITS THYROTROPIN-INDUCED THYROIDAL PEROXIDASE GENE EXPRESSION IN CULTURED HUMAN THYROCYTES. The Journal of Clinical Endocrinology & Metabolism. 69(2). 475–477. 36 indexed citations
17.
Yamashita, Shunichi, Hironori Kimura, K Ashizawa, et al.. (1989). Interleukin-1 inhibits thyrotrophin-induced human thyroglobulin gene expression. Journal of Endocrinology. 122(1). 177–183. 41 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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