Yu-ichi Tsukada

4.8k total citations · 3 hit papers
13 papers, 3.8k citations indexed

About

Yu-ichi Tsukada is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Yu-ichi Tsukada has authored 13 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Yu-ichi Tsukada's work include Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (4 papers) and Genomics and Chromatin Dynamics (4 papers). Yu-ichi Tsukada is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (4 papers) and Genomics and Chromatin Dynamics (4 papers). Yu-ichi Tsukada collaborates with scholars based in Japan, United States and China. Yu-ichi Tsukada's co-authors include Yi Zhang, Hediye Erdjument‐Bromage, Paul Tempst, Maria Warren, Christoph H. Borchers, Jia Fang, Ru Cao, Kenichi Yamane, Jiemin Wong and Keiichi I. Nakayama and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yu-ichi Tsukada

13 papers receiving 3.8k citations

Hit Papers

Histone demethylation by a family of JmjC domain-containi... 2005 2026 2012 2019 2005 2005 2006 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Histone demethylation by a family of JmjC domain-containing proteins
    2005 1.7k citations Yu-ichi Tsukada, Jia Fang et al. Nature profile →
  2. Role of Bmi-1 and Ring1A in H2A Ubiquitylation and Hox Gene Silencing
    2005 676 citations Ru Cao, Yu-ichi Tsukada et al. Molecular Cell profile →
  3. JHDM2A, a JmjC-Containing H3K9 Demethylase, Facilitates Transcription Activation by Androgen Receptor
    2006 641 citations Kenichi Yamane, Yu-ichi Tsukada et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-ichi Tsukada Japan 12 3.3k 488 378 310 260 13 3.8k
Pierre‐Olivier Estève United States 27 3.4k 1.0× 587 1.2× 389 1.0× 187 0.6× 313 1.2× 43 3.8k
Kenichi Nishioka Japan 22 4.0k 1.2× 600 1.2× 327 0.9× 329 1.1× 283 1.1× 43 4.7k
Karl Agger Denmark 19 3.9k 1.2× 551 1.1× 484 1.3× 150 0.5× 328 1.3× 25 4.4k
Duncan Sproul United Kingdom 21 2.5k 0.8× 450 0.9× 382 1.0× 271 0.9× 157 0.6× 35 2.9k
Roopsha Sengupta Austria 9 3.3k 1.0× 510 1.0× 251 0.7× 211 0.7× 306 1.2× 9 3.5k
Chih-Lin Hsieh United States 22 3.2k 1.0× 841 1.7× 462 1.2× 253 0.8× 248 1.0× 25 3.9k
Sylvain Daujat France 21 2.6k 0.8× 301 0.6× 266 0.7× 189 0.6× 304 1.2× 24 3.0k
François Gaudet United States 16 3.5k 1.0× 708 1.5× 468 1.2× 189 0.6× 559 2.1× 23 4.1k
Achim Breiling Germany 19 2.1k 0.6× 350 0.7× 422 1.1× 181 0.6× 125 0.5× 27 2.5k
Andrei Kuzmichev United States 9 2.6k 0.8× 373 0.8× 264 0.7× 204 0.7× 209 0.8× 9 2.9k

Countries citing papers authored by Yu-ichi Tsukada

Since Specialization
Citations

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

Fields of papers citing papers by Yu-ichi Tsukada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-ichi Tsukada. 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 Yu-ichi Tsukada. The network helps show where Yu-ichi Tsukada may publish in the future.

Co-authorship network of co-authors of Yu-ichi Tsukada

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

All Works

13 of 13 papers shown
1.
Nakajima, Yuki, et al.. (2021). Totipotency of mouse zygotes extends to single blastomeres of embryos at the four-cell stage. Scientific Reports. 11(1). 11167–11167. 25 indexed citations
2.
Nakatsukasa, Hiroko, Mayumi Oda, Jinghua Yin, et al.. (2019). Loss of TET proteins in regulatory T cells promotes abnormal proliferation, Foxp3 destabilization and IL-17 expression. International Immunology. 31(5). 335–347. 46 indexed citations
3.
Nakatsukasa, Hiroko, Minako Ito, Taisuke Kondo, et al.. (2017). Improvement of Foxp3 stability through CNS2 demethylation by TET enzyme induction and activation. International Immunology. 29(8). 365–375. 66 indexed citations
4.
Hatanaka, Yuki, Kimiko Inoue, Mami Oikawa, et al.. (2015). Histone chaperone CAF-1 mediates repressive histone modifications to protect preimplantation mouse embryos from endogenous retrotransposons. Proceedings of the National Academy of Sciences. 112(47). 14641–14646. 65 indexed citations
5.
Tsukada, Yu-ichi, Tomohiko Akiyama, & Keiichi I. Nakayama. (2015). Maternal TET3 is dispensable for embryonic development but is required for neonatal growth. Scientific Reports. 5(1). 48 indexed citations
6.
Tsukada, Yu-ichi, et al.. (2010). In Vitro Histone Demethylase Assay. Cold Spring Harbor Protocols. 2010(10). pdb.prot5512–pdb.prot5512. 7 indexed citations
7.
Tsukada, Yu-ichi, Tohru Ishitani, & Keiichi I. Nakayama. (2010). KDM7 is a dual demethylase for histone H3 Lys 9 and Lys 27 and functions in brain development. Genes & Development. 24(5). 432–437. 131 indexed citations
8.
Nishiyama, Masaaki, Kiyotaka Oshikawa, Yu-ichi Tsukada, et al.. (2009). CHD8 suppresses p53-mediated apoptosis through histone H1 recruitment during early embryogenesis. Nature Cell Biology. 11(2). 172–182. 143 indexed citations
9.
He, Jin, Eric M. Kallin, Yu-ichi Tsukada, & Yi Zhang. (2008). The H3K36 demethylase Jhdm1b/Kdm2b regulates cell proliferation and senescence through p15Ink4b. Nature Structural & Molecular Biology. 15(11). 1169–1175. 240 indexed citations
10.
Yamane, Kenichi, Yu-ichi Tsukada, Hediye Erdjument‐Bromage, et al.. (2006). JHDM2A, a JmjC-Containing H3K9 Demethylase, Facilitates Transcription Activation by Androgen Receptor. Cell. 125(3). 483–495. 641 indexed citations breakdown →
11.
Tsukada, Yu-ichi, Jia Fang, Hediye Erdjument‐Bromage, et al.. (2005). Histone demethylation by a family of JmjC domain-containing proteins. Nature. 439(7078). 811–816. 1673 indexed citations breakdown →
12.
Cao, Ru, Yu-ichi Tsukada, & Yi Zhang. (2005). Role of Bmi-1 and Ring1A in H2A Ubiquitylation and Hox Gene Silencing. Molecular Cell. 20(6). 845–854. 676 indexed citations breakdown →
13.
Han, Junhong, Yu-ichi Tsukada, Eiji Hara, Naomi Kitamura, & Toshiaki Tanaka. (2005). Hepatocyte Growth Factor Induces Redistribution of p21CIP1 and p27KIP1 through ERK-dependent p16INK4a Up-regulation, Leading to Cell Cycle Arrest at G1 in HepG2 Hepatoma Cells. Journal of Biological Chemistry. 280(36). 31548–31556. 48 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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