Yusuke Tominari

1.1k total citations
10 papers, 708 citations indexed

About

Yusuke Tominari is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Yusuke Tominari has authored 10 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Organic Chemistry. Recurrent topics in Yusuke Tominari's work include Chemical Synthesis and Analysis (4 papers), Click Chemistry and Applications (2 papers) and Ubiquitin and proteasome pathways (2 papers). Yusuke Tominari is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Click Chemistry and Applications (2 papers) and Ubiquitin and proteasome pathways (2 papers). Yusuke Tominari collaborates with scholars based in Japan. Yusuke Tominari's co-authors include Takeshi Iwatsubo, Hideaki Natsugari, Toshiyuki Kan, Yuichi Morohashi, Taisuke Tomita, Tohru Fukuyama, Masato T. Kanemaki, Haruki Takeuchi, Risako Nakano and Hirofumi Nakaoka and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Yusuke Tominari

10 papers receiving 703 citations

Peers

Yusuke Tominari

MB

PHYSI

PHARM

ONCOL

CB

Ireos Filipuzzi Switzerland

Mirko Buchholz Germany

Mayumi Shindo Japan

Ritsuko Oka Japan

Noriko Uchiyama Japan

Katja Wiesehan Germany

Kwang-Jin Cho United States

Margaret Porter United States

Greet De Baets Belgium

Thomas L. Emmons United States

Ireos Filipuzzi Switzerland

Yusuke Tominari

687 ×1.5

MB

54 ×0.3

PHYSI

72 ×0.6

PHARM

74 ×0.7

ONCOL

121 ×1.3

CB

Citations per year, relative to Yusuke Tominari Yusuke Tominari (= 1×) peers Ireos Filipuzzi

Countries citing papers authored by Yusuke Tominari

Since Specialization

Citations

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

Fields of papers citing papers by Yusuke Tominari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Tominari

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

All Works

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10 of 10 papers shown

1.

Matsumoto, Shigemitsu, Shinji Morimoto, Masaki Daini, et al.. (2022). Design, synthesis, and structure–activity relationship of TAK-418 and its derivatives as a novel series of LSD1 inhibitors with lowered risk of hematological side effects. European Journal of Medicinal Chemistry. 239. 114522–114522. 13 indexed citations

2.

Saito, Yuichiro, Naomi Kitamoto, Rieko Ajima, et al.. (2020). The auxin-inducible degron 2 technology provides sharp degradation control in yeast, mammalian cells, and mice. Nature Communications. 11(1). 5701–5701. 266 indexed citations

3.

Tominari, Yusuke, et al.. (2018). Ligand-induced genetic degradation as a tool for target validation. Drug Discovery Today Technologies. 31. 91–98. 24 indexed citations

4.

Shibata, Akira, Masako Kuno, Ryutaro Adachi, et al.. (2017). Discovery and pharmacological characterization of a new class of prolyl-tRNA synthetase inhibitor for anti-fibrosis therapy. PLoS ONE. 12(10). e0186587–e0186587. 14 indexed citations

5.

Kan, Toshiyuki, Yoichi Kita, Yuichi Morohashi, et al.. (2007). Convenient Synthesis of Photoaffinity Probes and Evaluation of Their Labeling Abilities. Organic Letters. 9(11). 2055–2058. 20 indexed citations

6.

Morohashi, Yuichi, Toshiyuki Kan, Yusuke Tominari, et al.. (2006). C-terminal Fragment of Presenilin Is the Molecular Target of a Dipeptidic γ-Secretase-specific Inhibitor DAPT (N-[N-(3,5-Difluorophenacetyl)-L-alanyl]-S-phenylglycine t-Butyl Ester). Journal of Biological Chemistry. 281(21). 14670–14676. 161 indexed citations

7.

Kan, Toshiyuki, Yusuke Tominari, Kentaro Rikimaru, et al.. (2004). Parallel synthesis of DAPT derivatives and their γ-secretase-inhibitory activity. Bioorganic & Medicinal Chemistry Letters. 14(8). 1983–1985. 27 indexed citations

8.

Morohashi, Yuichi, Yusuke Tominari, Naoto Watanabe, et al.. (2004). P4-322 Presenilin-1 is a molecular target of a dipeptidic γ-secretase inhibitor, DAPT. Neurobiology of Aging. 25. S566–S567. 1 indexed citations

9.

Kan, Toshiyuki, Yusuke Tominari, Yuichi Morohashi, et al.. (2003). Solid-phase synthesis of photoaffinity probes: highly efficient incorporation of biotin-tag and cross-linking groups. Chemical Communications. 2244–2244. 30 indexed citations

10.

Takahashi, Yasuko, Ikuo Hayashi, Yusuke Tominari, et al.. (2003). Sulindac Sulfide Is a Noncompetitive γ-Secretase Inhibitor That Preferentially Reduces Aβ42 Generation. Journal of Biological Chemistry. 278(20). 18664–18670. 152 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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