Hirochika Kitagawa

4.8k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

Hirochika Kitagawa is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hirochika Kitagawa has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hirochika Kitagawa's work include Estrogen and related hormone effects (6 papers), Hormonal Regulation and Hypertension (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Hirochika Kitagawa is often cited by papers focused on Estrogen and related hormone effects (6 papers), Hormonal Regulation and Hypertension (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Hirochika Kitagawa collaborates with scholars based in Japan, United States and Sweden. Hirochika Kitagawa's co-authors include Shigeaki Kato, Fumiaki Ohtake, Takahiro Μatsumoto, Chiharu Tohyama, Ken‐ichi Takeyama, Junsei Mimura, Andrée Krust, Yasuji Yamamoto, Keiko Nohara and Yoshiaki Fujii‐Kuriyama and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Hirochika Kitagawa

17 papers receiving 1.5k citations

Hit Papers

Modulation of oestrogen r... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hirochika Kitagawa Japan 14 859 423 336 221 175 17 1.6k
Anna Grazia Recchia Italy 17 796 0.9× 812 1.9× 157 0.5× 255 1.2× 216 1.2× 41 1.7k
Jan-Åke Gustafsson Sweden 16 624 0.7× 690 1.6× 97 0.3× 258 1.2× 111 0.6× 19 1.5k
C.E. van den Brink Netherlands 24 1.4k 1.7× 703 1.7× 304 0.9× 61 0.3× 137 0.8× 27 1.9k
Quentin Felty United States 17 604 0.7× 304 0.7× 187 0.6× 52 0.2× 212 1.2× 49 1.2k
Suzanne Reisz‐Porszasz United States 14 1.2k 1.4× 319 0.8× 790 2.4× 114 0.5× 680 3.9× 17 2.4k
Johanna Zilliacus Sweden 22 580 0.7× 417 1.0× 231 0.7× 151 0.7× 123 0.7× 49 1.2k
Silke Kietz Germany 20 701 0.8× 774 1.8× 157 0.5× 147 0.7× 255 1.5× 38 1.8k
Jeanne M. Danes United States 13 889 1.0× 804 1.9× 95 0.3× 148 0.7× 329 1.9× 16 1.7k
Toshihiko Yanase Japan 24 1.4k 1.7× 632 1.5× 147 0.4× 670 3.0× 286 1.6× 56 2.5k
Jackie A. Lavigne United States 23 706 0.8× 398 0.9× 139 0.4× 252 1.1× 351 2.0× 28 1.9k

Countries citing papers authored by Hirochika Kitagawa

Since Specialization
Citations

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

Fields of papers citing papers by Hirochika Kitagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirochika Kitagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Hirochika Kitagawa. A scholar is included among the top collaborators of Hirochika Kitagawa 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 Hirochika Kitagawa. Hirochika Kitagawa 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.
Fujiki, Ryoji, Hiroki Sekine, Atsushi Yokoyama, et al.. (2011). GlcNAcylation of histone H2B facilitates its monoubiquitination. Nature. 480(7378). 557–560. 256 indexed citations
2.
Kitagawa, Hirochika, Ryoji Fujiki, Kimihiro Yoshimura, Hiroyuki Oya, & Shigeaki Kato. (2011). Williams syndrome is an epigenome-regulator disease. Endocrine Journal. 58(2). 77–85. 13 indexed citations
3.
Shibata, Hirotaka, Isao Kurihara, Sakiko Kobayashi, et al.. (2010). NF-YC Functions as a Corepressor of Agonist-bound Mineralocorticoid Receptor. Journal of Biological Chemistry. 285(11). 8084–8093. 31 indexed citations
4.
Yokoyama, Atsushi, Shinichiro Takezawa, Roland Schüle, Hirochika Kitagawa, & Shigeaki Kato. (2008). Transrepressive Function of TLX Requires the Histone Demethylase LSD1. Molecular and Cellular Biology. 28(12). 3995–4003. 110 indexed citations
5.
Akimoto, Chihiro, Hirochika Kitagawa, Takahiro Μatsumoto, & Shigeaki Kato. (2008). Spermatogenesis‐specific association of SMCY and MSH5. Genes to Cells. 13(6). 623–633. 41 indexed citations
6.
Fujiki, Ryoji, Shinichiro Takezawa, Yasumasa Sasaki, et al.. (2006). Nuclear Receptor Mediated Gene Regulation through Chromatin Remodeling and Histone Modifications. Endocrine Journal. 53(2). 157–172. 62 indexed citations
7.
Yokota, Kenichi, Hirotaka Shibata, Isao Kurihara, et al.. (2006). Coactivation of the N-terminal Transactivation of Mineralocorticoid Receptor by Ubc9. Journal of Biological Chemistry. 282(3). 1998–2010. 70 indexed citations
8.
Chan, Techuan, Reiko Satow, Hirochika Kitagawa, Shigeaki Kato, & Makoto Asashima. (2006). Ledgerline, a Novel Xenopus laevis Gene, Regulates Differentiation of Presomitic Mesoderm During Somitogenesis. ZOOLOGICAL SCIENCE. 23(8). 689–697. 18 indexed citations
9.
Kim, Mi Sun, Ryoji Fujiki, Akiko Murayama, et al.. (2006). 1α,25(OH)2D3-Induced Transrepression by Vitamin D Receptor through E-Box-Type Elements in the Human Parathyroid Hormone Gene Promoter. Molecular Endocrinology. 21(2). 334–342. 67 indexed citations
10.
Oishi, Hajime, Hirochika Kitagawa, Osamu Wada, et al.. (2006). An hGCN5/TRRAP Histone Acetyltransferase Complex Co-activates BRCA1 Transactivation Function through. 2 indexed citations
11.
Kahata, Kaoru, Makoto Hayashi, Masahiro Asaka, et al.. (2004). Regulation of transforming growth factor‐β and bone morphogenetic protein signalling by transcriptional coactivator GCN5. Genes to Cells. 9(2). 143–151. 45 indexed citations
12.
Kato, Shigeaki, Miyuki Suzawa, Ichiro Takada, et al.. (2003). The function of nuclear receptors in bone tissues. Journal of Bone and Mineral Metabolism. 21(6). 323–336. 4 indexed citations
13.
Ishitani, Ken, et al.. (2003). p54nrb acts as a transcriptional coactivator for activation function 1 of the human androgen receptor. Biochemical and Biophysical Research Communications. 306(3). 660–665. 65 indexed citations
14.
Ohtake, Fumiaki, Ken‐ichi Takeyama, Takahiro Μatsumoto, et al.. (2003). Modulation of oestrogen receptor signalling by association with the activated dioxin receptor. Nature. 423(6939). 545–550. 633 indexed citations breakdown →
15.
Fuse, Hiroaki, Hirochika Kitagawa, & Shigeaki Kato. (2000). Characterization of Transactivational Property and Coactivator Mediation of Rat Mineralocorticoid Receptor Activation Function-1 (AF-1). Molecular Endocrinology. 14(6). 889–899. 69 indexed citations
16.
Tajima, Toshihiro, Hirochika Kitagawa, Susumu Yokoya, et al.. (2000). A Novel Missense Mutation of Mineralocorticoid Receptor Gene in One Japanese Family with a Renal Form of Pseudohypoaldosteronism Type 1. The Journal of Clinical Endocrinology & Metabolism. 85(12). 4690–4694. 47 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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