S. Ueno

38 total papers · 471 total citations
11 papers, 354 citations indexed

About

S. Ueno is a scholar working on Materials Chemistry, Organic Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, S. Ueno has authored 11 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 4 papers in Organic Chemistry and 1 paper in Physical and Theoretical Chemistry. Recurrent topics in S. Ueno's work include Layered Double Hydroxides Synthesis and Applications (6 papers), Mesoporous Materials and Catalysis (4 papers) and Magnesium Oxide Properties and Applications (4 papers). S. Ueno is often cited by papers focused on Layered Double Hydroxides Synthesis and Applications (6 papers), Mesoporous Materials and Catalysis (4 papers) and Magnesium Oxide Properties and Applications (4 papers). S. Ueno collaborates with scholars based in Japan. S. Ueno's co-authors include Kiyotomi Kaneda, Toshinobu Imanaka, Kohki Ebitani, Kazushi Yoshida, Yutaka Nishiyama, Yasutaka Ishii, Akira Ookubo, Mitsuhiro Shimizu, Kazuo Miyamura and K. Nomoto and has published in prestigious journals such as Chemical Communications, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

S. Ueno

11 papers receiving 342 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Ueno 268 143 59 53 45 11 354
Nicoletta Panziera 149 0.6× 245 1.7× 116 2.0× 43 0.8× 46 1.0× 10 340
Celso F. Pérez 295 1.1× 91 0.6× 98 1.7× 65 1.2× 49 1.1× 13 353
Stéphane Mangematin 243 0.9× 164 1.1× 112 1.9× 55 1.0× 55 1.2× 12 370
Karen Vercruysse 200 0.7× 125 0.9× 68 1.2× 66 1.2× 34 0.8× 13 303
Nikolai V. Orlov 136 0.5× 184 1.3× 53 0.9× 52 1.0× 41 0.9× 10 351
P. Lakshmi Santhi 207 0.8× 198 1.4× 111 1.9× 33 0.6× 32 0.7× 13 351
Friedrich Auer 170 0.6× 206 1.4× 132 2.2× 34 0.6× 37 0.8× 10 356
L. M. Bronstein 185 0.7× 173 1.2× 79 1.3× 18 0.3× 57 1.3× 16 329
B. Kavita 163 0.6× 279 2.0× 76 1.3× 37 0.7× 27 0.6× 11 392
Hongli Liu 213 0.8× 184 1.3× 133 2.3× 42 0.8× 60 1.3× 12 382

Countries citing papers authored by S. Ueno

Since Specialization
Citations

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

Fields of papers citing papers by S. Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ueno

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

All Works

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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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