Motonari Uesugi

4.8k total citations
131 papers, 3.6k citations indexed

About

Motonari Uesugi is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Motonari Uesugi has authored 131 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 23 papers in Organic Chemistry and 19 papers in Oncology. Recurrent topics in Motonari Uesugi's work include Click Chemistry and Applications (13 papers), Pluripotent Stem Cells Research (12 papers) and RNA Interference and Gene Delivery (11 papers). Motonari Uesugi is often cited by papers focused on Click Chemistry and Applications (13 papers), Pluripotent Stem Cells Research (12 papers) and RNA Interference and Gene Delivery (11 papers). Motonari Uesugi collaborates with scholars based in Japan, United States and China. Motonari Uesugi's co-authors include Gregory L. Verdine, Shin‐ichi Sato, Yoshinori Kawazoe, Yongmun Choi, Yukio Sugiura, Origène Nyanguile, Asako Murata, Arnold J. Levine, Hua Lu and Youngjoo Kwon and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Motonari Uesugi

127 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Motonari Uesugi Japan 34 2.4k 708 431 421 310 131 3.6k
Yoshitaka Satoh Japan 21 1.9k 0.8× 829 1.2× 567 1.3× 239 0.6× 438 1.4× 41 3.6k
Sérgio Valente Italy 46 4.1k 1.7× 889 1.3× 764 1.8× 211 0.5× 453 1.5× 154 5.9k
Shripad S. Bhagwat United States 22 2.1k 0.9× 675 1.0× 611 1.4× 158 0.4× 417 1.3× 53 4.0k
Jun Qu United States 41 3.3k 1.4× 776 1.1× 497 1.2× 132 0.3× 348 1.1× 160 5.0k
James M. Trevillyan United States 34 2.4k 1.0× 411 0.6× 621 1.4× 184 0.4× 326 1.1× 68 4.1k
Rodolfo Márquez United Kingdom 27 1.7k 0.7× 1.2k 1.7× 332 0.8× 153 0.4× 203 0.7× 94 3.3k
A. Chaikuad Germany 37 2.9k 1.2× 760 1.1× 784 1.8× 100 0.2× 231 0.7× 123 4.4k
Won Gun An South Korea 30 2.0k 0.8× 285 0.4× 676 1.6× 275 0.7× 1.0k 3.2× 89 3.6k
Yoshito Ihara Japan 41 3.9k 1.6× 1.2k 1.7× 448 1.0× 309 0.7× 226 0.7× 132 5.3k
Christoph Schächtele Germany 32 2.4k 1.0× 984 1.4× 619 1.4× 148 0.4× 244 0.8× 77 4.3k

Countries citing papers authored by Motonari Uesugi

Since Specialization
Citations

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

Fields of papers citing papers by Motonari Uesugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motonari Uesugi

This figure shows the co-authorship network connecting the top 25 collaborators of Motonari Uesugi. A scholar is included among the top collaborators of Motonari Uesugi 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 Motonari Uesugi. Motonari Uesugi 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.
Akiyama, Manato, Masahito Ohue, Nobuaki Matsumori, et al.. (2023). Variational autoencoder-based chemical latent space for large molecular structures with 3D complexity. Communications Chemistry. 6(1). 249–249. 37 indexed citations
2.
Noda, Naotaka, et al.. (2022). Discovery of Non-Cysteine-Targeting Covalent Inhibitors by Activity-Based Proteomic Screening with a Cysteine-Reactive Probe. ACS Chemical Biology. 17(2). 340–347. 13 indexed citations
3.
Noda, Naotaka, Yoshiyuki Mizuhata, Masakazu Higuchi, et al.. (2022). Glucose as a Protein-Condensing Cellular Solute. ACS Chemical Biology. 17(3). 567–575. 6 indexed citations
4.
Perron, Amélie, et al.. (2022). Magnetic Control of Cells by Chemical Fabrication of Melanin. Journal of the American Chemical Society. 144(37). 16720–16725. 7 indexed citations
5.
Narayanan, Ramesh K., Kaitao Lai, Melina Ellis, et al.. (2022). Novel gene–intergenic fusion involving ubiquitin E3 ligase UBE3C causes distal hereditary motor neuropathy. Brain. 146(3). 880–897. 9 indexed citations
6.
Nakagawa, Reiko, Syusuke Egoshi, Masahiro Abo, et al.. (2022). Chemoproteomic Identification of Blue-Light-Damaged Proteins. Journal of the American Chemical Society. 144(44). 20171–20176. 24 indexed citations
7.
Takashima, Ippei, et al.. (2021). Non-genetic cell-surface modification with a self-assembling molecular glue. Chemical Communications. 57(12). 1470–1473. 1 indexed citations
8.
Takemoto, Yasushi, et al.. (2020). Discovery of a Small-Molecule-Dependent Photolytic Peptide. Journal of the American Chemical Society. 142(3). 1142–1146. 2 indexed citations
9.
Yasui, Koji, et al.. (2019). Synthetic Chemical Probes That Dissect Vitamin D Activities. ACS Chemical Biology. 14(12). 2851–2858. 15 indexed citations
10.
Ziegler, Slava, Hiroki Yoshida, Mizuki Watanabe, et al.. (2019). Nutrient-Based Chemical Library as a Source of Energy Metabolism Modulators. ACS Chemical Biology. 14(9). 1860–1865. 3 indexed citations
11.
Takashima, Ippei, Kosuke Kusamori, Naotaka Noda, et al.. (2019). Multifunctionalization of Cells with a Self-Assembling Molecule to Enhance Cell Engraftment. ACS Chemical Biology. 14(4). 775–783. 9 indexed citations
12.
Sato, Shin‐ichi, et al.. (2018). Live-cell imaging of multiple endogenous mRNAs permits the direct observation of RNA granule dynamics. Chemical Communications. 54(52). 7151–7154. 9 indexed citations
13.
Qin, Ying�, Shin‐ichi Sato, Yasushi Takemoto, et al.. (2018). Chemical decontamination of iPS cell-derived neural cell mixtures. Chemical Communications. 54(11). 1355–1358. 6 indexed citations
14.
Yoshimura, Hideaki�, et al.. (2018). A robust split-luciferase-based cell fusion screening for discovering myogenesis-promoting molecules. The Analyst. 143(14). 3472–3480. 6 indexed citations
15.
Natsume, Atsushi, Motokazu Ito, Keisuke Katsushima, et al.. (2013). Chromatin Regulator PRC2 Is a Key Regulator of Epigenetic Plasticity in Glioblastoma. Cancer Research. 73(14). 4559–4570. 79 indexed citations
16.
Yamazoe, Sayumi, Hiroki Shimogawa, Shin‐ichi Sato, Jeffrey D. Esko, & Motonari Uesugi. (2009). A Dumbbell-Shaped Small Molecule that Promotes Cell Adhesion and Growth. Chemistry & Biology. 16(7). 773–782. 27 indexed citations
17.
Henderson, Ying C., Mitchell J. Frederick, Arumugam Jayakumar, et al.. (2006). Human LBP-32/MGR is a Repressor of the P450scc in Human Choriocarcinoma Cell Line JEG-3. Placenta. 28(2-3). 152–160. 12 indexed citations
18.
Aizawa, Yasunori, et al.. (1995). RNA Cleavage by C-1027 Chromophore, an Enediyne Antitumor Antibiotic: High Selectivity to an Anticodon Arm. Biochemical and Biophysical Research Communications. 208(1). 168–173. 7 indexed citations
19.
Maekawa, Kikuo, et al.. (1993). Conformation-selective DNA strand breaks by dynemicin: A molecular wedge into flexible regions of DNA. Biochemistry. 32(43). 11669–11675. 18 indexed citations
20.

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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