Yuri Takada

628 total citations · 1 hit paper
17 papers, 474 citations indexed

About

Yuri Takada is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Yuri Takada has authored 17 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Oncology. Recurrent topics in Yuri Takada's work include Histone Deacetylase Inhibitors Research (10 papers), Protein Degradation and Inhibitors (8 papers) and Epigenetics and DNA Methylation (5 papers). Yuri Takada is often cited by papers focused on Histone Deacetylase Inhibitors Research (10 papers), Protein Degradation and Inhibitors (8 papers) and Epigenetics and DNA Methylation (5 papers). Yuri Takada collaborates with scholars based in Japan, Egypt and India. Yuri Takada's co-authors include Jason S. Carroll, Andrew J. Counsell, Albert Isidro‐Llobet, Nicola Ashman, Jonathan D. Bargh, Jeremy S. Parker, Abigail R. Hanby, Stephen J. Walsh, David R. Spring and Elaine Fowler and has published in prestigious journals such as Chemical Society Reviews, Nature Communications and Chemical Communications.

In The Last Decade

Yuri Takada

15 papers receiving 459 citations

Hit Papers

Site-selective modificati... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuri Takada Japan 7 279 217 191 134 22 17 474
Elaine Fowler United Kingdom 9 269 1.0× 201 0.9× 212 1.1× 178 1.3× 18 0.8× 10 464
Marı́a Maneiro Spain 10 472 1.7× 259 1.2× 132 0.7× 211 1.6× 14 0.6× 16 656
Xinbo Zhou China 12 162 0.6× 278 1.3× 236 1.2× 62 0.5× 38 1.7× 20 477
Punit Upadhyaya United States 11 470 1.7× 116 0.5× 115 0.6× 131 1.0× 12 0.5× 18 533
Nafsika Forte United Kingdom 11 420 1.5× 297 1.4× 222 1.2× 156 1.2× 29 1.3× 13 595
Allyson M. Freedy United States 7 252 0.9× 92 0.4× 89 0.5× 129 1.0× 20 0.9× 8 348
Michał Sabisz Poland 14 325 1.2× 156 0.7× 48 0.3× 180 1.3× 24 1.1× 20 556
Hanna Hailu United Kingdom 7 436 1.6× 99 0.5× 118 0.6× 211 1.6× 42 1.9× 10 611
Subhash C. Sinha United States 12 294 1.1× 139 0.6× 283 1.5× 179 1.3× 22 1.0× 14 550
Weiqiang Zhan China 10 205 0.7× 235 1.1× 47 0.2× 167 1.2× 14 0.6× 19 587

Countries citing papers authored by Yuri Takada

Since Specialization
Citations

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

Fields of papers citing papers by Yuri Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuri Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Takada. A scholar is included among the top collaborators of Yuri Takada 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 Yuri Takada. Yuri Takada 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.
Maeda, Ryo, Yuri Takada, Hiroki Tsumoto, et al.. (2025). A Novel PROTAC G9a/GLP Degrader that Inhibits, Similar to G9a siRNA, the Migration of MCF-7 Breast-Cancer Cells without Affecting Proliferation. Journal of Medicinal Chemistry. 68(17). 18258–18271. 1 indexed citations
2.
Ota, Yosuke, Yukihiro Itoh, Yuri Takada, et al.. (2024). Design, synthesis, and biological evaluation of phenylcyclopropylamine-entinostat conjugates that selectively target cancer cells. Bioorganic & Medicinal Chemistry. 100. 117632–117632.
3.
Itoh, Yukihiro, et al.. (2024). Epigenetic Inhibitors as Alzheimer’s Disease Therapeutic Agents. Chemical and Pharmaceutical Bulletin. 72(7). 630–637. 2 indexed citations
4.
Takada, Yuri, et al.. (2024). A Structure–Activity Relationship Study of SNAIL1 Peptides as Inhibitors of Lysine-Specific Demethylase 1. Chemical and Pharmaceutical Bulletin. 72(2). 155–160.
5.
Takada, Yuri, et al.. (2024). Identification of a Histone Deacetylase 8 Inhibitor through Drug Screenings Based on Machine Learning. Chemical and Pharmaceutical Bulletin. 72(2). 173–178. 5 indexed citations
6.
Iida, Tetsuya, Yukihiro Itoh, Yukari Takahashi, et al.. (2024). Identification of Proteolysis Targeting Chimeras (PROTACs) for Lysine Demethylase 5 and Their Neurite Outgrowth-Promoting Activity. Chemical and Pharmaceutical Bulletin. 72(7). 638–647. 3 indexed citations
7.
Itoh, Yukihiro, Peng Zhan, T Tojo, et al.. (2023). Discovery of Selective Histone Deacetylase 1 and 2 Inhibitors: Screening of a Focused Library Constructed by Click Chemistry, Kinetic Binding Analysis, and Biological Evaluation. Journal of Medicinal Chemistry. 66(22). 15171–15188. 12 indexed citations
8.
Takada, Yuri, et al.. (2023). Structural optimization of a lysine demethylase 5 inhibitor for improvement of its cellular activity. Bioorganic & Medicinal Chemistry. 98. 117579–117579. 1 indexed citations
9.
Ota, Yosuke, Yukihiro Itoh, Takashi Kurohara, et al.. (2022). Cancer-Cell-Selective Targeting by Arylcyclopropylamine–Vorinostat Conjugates. ACS Medicinal Chemistry Letters. 13(10). 1568–1573. 3 indexed citations
10.
Itoh, Yukihiro, et al.. (2022). Recent progress on small molecules targeting epigenetic complexes. Current Opinion in Chemical Biology. 67. 102130–102130. 8 indexed citations
11.
Takahashi, Yukari, Yuri Takada, Tetsuya Iida, et al.. (2022). Selective degradation of histone deacetylase 8 mediated by a proteolysis targeting chimera (PROTAC). Chemical Communications. 58(29). 4635–4638. 42 indexed citations
12.
Kurohara, Takashi, Daisuke Takahashi, Satoshi Ueda, et al.. (2021). Identification of Novel Histone Deacetylase 6‐Selective Inhibitors Bearing 3,3,3‐Trifluorolactic Amide (TFLAM) Motif as a Zinc Binding Group. ChemBioChem. 22(22). 3158–3163. 6 indexed citations
13.
Itoh, Yukihiro, Yoshie Fujiwara, Yukari Takahashi, et al.. (2021). Identification of Potent and Selective Inhibitors of Fat Mass Obesity-Associated Protein Using a Fragment-Merging Approach. Journal of Medicinal Chemistry. 64(21). 15810–15824. 27 indexed citations
14.
Takada, Yuri, et al.. (2021). Preparation of Copper Fine Particles by a Wet Chemical Method. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 54(3). 103–109. 1 indexed citations
15.
Walsh, Stephen J., Jonathan D. Bargh, Abigail R. Hanby, et al.. (2020). Site-selective modification strategies in antibody–drug conjugates. Chemical Society Reviews. 50(2). 1305–1353. 315 indexed citations breakdown →
16.
Takada, Yuri, Hiroaki Itoh, Atmika Paudel, et al.. (2020). Discovery of gramicidin A analogues with altered activities by multidimensional screening of a one-bead-one-compound library. Nature Communications. 11(1). 4935–4935. 37 indexed citations
17.
Ebine, Makoto, et al.. (2017). Synthesis of a Truncated Analog of Amphidinol 3 Corresponding to the C21–C39/C52–C67 Section. Chemistry Letters. 46(5). 662–664. 11 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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