Hideki Ukai

1.9k total citations
25 papers, 1.1k citations indexed

About

Hideki Ukai is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Aging. According to data from OpenAlex, Hideki Ukai has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Endocrine and Autonomic Systems and 5 papers in Aging. Recurrent topics in Hideki Ukai's work include Circadian rhythm and melatonin (7 papers), CRISPR and Genetic Engineering (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Hideki Ukai is often cited by papers focused on Circadian rhythm and melatonin (7 papers), CRISPR and Genetic Engineering (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Hideki Ukai collaborates with scholars based in Japan, Australia and United Kingdom. Hideki Ukai's co-authors include Hiroki R. Ueda, Rikuhiro G. Yamada, Tetsuya Kobayashi, John B. Hogenesch, Julie E. Baggs, David K. Welsh, Trey K. Sato, Loren Miraglia, Steve A. Kay and Maki Ukai‐Tadenuma and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Hideki Ukai

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Ukai Japan 14 617 414 271 213 202 25 1.1k
Maki Ukai‐Tadenuma Japan 18 768 1.2× 430 1.0× 391 1.4× 263 1.2× 312 1.5× 22 1.5k
Katja Vanselow Germany 7 695 1.1× 386 0.9× 340 1.3× 204 1.0× 160 0.8× 8 1.1k
Pascal Gos Switzerland 14 839 1.4× 499 1.2× 209 0.8× 520 2.4× 207 1.0× 14 1.5k
Jean‐Michel Fustin Japan 22 1.0k 1.7× 1.0k 2.5× 267 1.0× 386 1.8× 307 1.5× 33 2.3k
Shin-ichiro Kanno Japan 11 1.0k 1.6× 480 1.2× 556 2.1× 378 1.8× 385 1.9× 20 1.5k
Rajesh Narasimamurthy Singapore 12 587 1.0× 295 0.7× 180 0.7× 274 1.3× 128 0.6× 15 1000
Shigeru Mitsui Japan 6 1.3k 2.1× 345 0.8× 459 1.7× 553 2.6× 307 1.5× 7 1.7k
Gabriel K.Y. Wong United Kingdom 10 811 1.3× 135 0.3× 213 0.8× 318 1.5× 262 1.3× 12 1.1k
Katrine West United Kingdom 13 451 0.7× 329 0.8× 98 0.4× 180 0.8× 422 2.1× 18 1.3k
Sebastian Damerow Germany 11 515 0.8× 334 0.8× 75 0.3× 273 1.3× 90 0.4× 14 1.1k

Countries citing papers authored by Hideki Ukai

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Ukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Ukai

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Ukai. A scholar is included among the top collaborators of Hideki Ukai 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 Hideki Ukai. Hideki Ukai 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.
Wang, Yimeng, Hiroshi Fujishima, Rikuhiro G. Yamada, et al.. (2024). Postsynaptic competition between calcineurin and PKA regulates mammalian sleep–wake cycles. Nature. 636(8042). 412–421. 7 indexed citations
2.
Ohta, Etsuro, Takefumi Sone, Hideki Ukai, et al.. (2020). Generation of gene-corrected iPSCs line (KEIUi001-A) from a PARK8 patient iPSCs with familial Parkinson’s disease carrying the I2020T mutation in LRRK2. Stem Cell Research. 49. 102073–102073. 6 indexed citations
3.
Ukai, Hideki, Kenta Sumiyama, & Hiroki R. Ueda. (2019). Next-generation human genetics for organism-level systems biology. Current Opinion in Biotechnology. 58. 137–145. 3 indexed citations
4.
Niwa, Yasutaka, Genki N. Kanda, Rikuhiro G. Yamada, et al.. (2018). Muscarinic Acetylcholine Receptors Chrm1 and Chrm3 Are Essential for REM Sleep. Cell Reports. 24(9). 2231–2247.e7. 73 indexed citations
5.
Sumiyama, Kenta, et al.. (2018). Easy and efficient production of completely embryonic-stem-cell-derived mice using a micro-aggregation device. PLoS ONE. 13(9). e0203056–e0203056. 5 indexed citations
6.
Ukai, Hideki, Hiroshi Kiyonari, & Hiroki R. Ueda. (2017). Production of knock-in mice in a single generation from embryonic stem cells. Nature Protocols. 12(12). 2513–2530. 12 indexed citations
7.
Shinohara, Yuta, Maki Ukai‐Tadenuma, Takatsugu Hirokawa, et al.. (2017). Temperature-Sensitive Substrate and Product Binding Underlie Temperature-Compensated Phosphorylation in the Clock. Molecular Cell. 67(5). 783–798.e20. 58 indexed citations
8.
Hosoya, Makoto, Masato Fujioka, Takefumi Sone, et al.. (2017). Cochlear Cell Modeling Using Disease-Specific iPSCs Unveils a Degenerative Phenotype and Suggests Treatments for Congenital Progressive Hearing Loss. Cell Reports. 18(1). 68–81. 57 indexed citations
9.
Ode, Koji L., Hideki Ukai, Etsuo A. Susaki, et al.. (2016). Knockout-Rescue Embryonic Stem Cell-Derived Mouse Reveals Circadian-Period Control by Quality and Quantity of CRY1. Molecular Cell. 65(1). 176–190. 60 indexed citations
10.
Tainaka, Kazuki, Shimpei I. Kubota, Etsuo A. Susaki, et al.. (2014). Whole-Body Imaging with Single-Cell Resolution by Tissue Decolorization. Cell. 159(4). 911–924. 28 indexed citations
11.
Izumikawa, Miho, Hideki Ukai, Motoki Takagi, Hiroki R. Ueda, & Kazuo Shin‐ya. (2008). JBIR-26, a Novel Natural Compound from Streptomyces sp. AK-AH76, Regulates Mammalian Circadian Clock. The Journal of Antibiotics. 61(12). 756–758. 2 indexed citations
12.
Ukai, Hideki, Tetsuya Kobayashi, Mamoru Nagano, et al.. (2007). Melanopsin-dependent photo-perturbation reveals desynchronization underlying the singularity of mammalian circadian clocks. Nature Cell Biology. 9(11). 1327–1334. 87 indexed citations
13.
Muto, Masahiro, Akira Fujimori, Kazuhiro Daino, et al.. (2006). Isolation and Characterization of a Novel Human Radiosusceptibility Gene,NP951. Radiation Research. 166(5). 723–733. 21 indexed citations
14.
Sato, Trey K., Rikuhiro G. Yamada, Hideki Ukai, et al.. (2006). Feedback repression is required for mammalian circadian clock function. Nature Genetics. 38(3). 312–319. 301 indexed citations
15.
Tsuji, Hideo, Takanori Katsube, Hideki Ukai, et al.. (2004). Involvement of Illegitimate V(D)J Recombination or Microhomology-Mediated Nonhomologous End-Joining in the Formation of Intragenic Deletions of theNotch1Gene in Mouse Thymic Lymphomas. Cancer Research. 64(24). 8882–8890. 33 indexed citations
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Ogiu, Toshiaki, Shigeru Kobayashi, Mayumi Nishimura, et al.. (2002). Development and molecular analysis of thymic lymphomas induced by ionizing radiation in Scid mice. International Congress Series. 1236. 157–161. 1 indexed citations
19.
Ukai, Hideki, Maki Ukai‐Tadenuma, Toshiaki Ogiu, & Hideo Tsuji. (2002). A new technique to prevent self-ligation of DNA. Journal of Biotechnology. 97(3). 233–242. 13 indexed citations
20.
Ogiu, Toshiaki, Mayumi Nishimura, Fumiaki Watanabe, et al.. (2000). Absence of Linkage between Radiosensitivity and the PredisposingAtp7bGene Mutation for Heritable Hepatitis in the LEC Rat. Radiation Research. 154(1). 113–116. 4 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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