Hidetoshi Uemura

21 total papers · 497 total citations
17 papers, 388 citations indexed

About

Hidetoshi Uemura is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Hidetoshi Uemura has authored 17 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Genetics. Recurrent topics in Hidetoshi Uemura's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Virus-based gene therapy research (4 papers) and Renin-Angiotensin System Studies (2 papers). Hidetoshi Uemura is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Virus-based gene therapy research (4 papers) and Renin-Angiotensin System Studies (2 papers). Hidetoshi Uemura collaborates with scholars based in Japan and United States. Hidetoshi Uemura's co-authors include Nozomi Yamaguchi, Shinichi Mitsui, Akira Okui, Katsuya Kominami, Tatsuo Yamada, Osamu Yamada, Kazuhiko Ohashi, Chie Nakajima, Satoshi Takagi and Keiichi Yamamoto and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Controlled Release.

In The Last Decade

Hidetoshi Uemura

16 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Hidetoshi Uemura 110 103 101 97 85 17 388
Denise Klatt 229 2.1× 97 0.9× 65 0.6× 85 0.9× 76 0.9× 19 400
E D'Andrea 148 1.3× 64 0.6× 36 0.4× 109 1.1× 116 1.4× 22 401
Eric Gobin 186 1.7× 90 0.9× 44 0.4× 143 1.5× 47 0.6× 13 404
H M Golomb 111 1.0× 112 1.1× 89 0.9× 94 1.0× 93 1.1× 21 392
Christelle Pérez 126 1.1× 56 0.5× 26 0.3× 63 0.6× 92 1.1× 14 383
P Sansilvestri 172 1.6× 88 0.9× 34 0.3× 67 0.7× 78 0.9× 11 355
Martin Cremer 93 0.8× 183 1.8× 49 0.5× 122 1.3× 145 1.7× 22 402
Veronika Kanderová 108 1.0× 65 0.6× 36 0.4× 46 0.5× 230 2.7× 24 370
Richard R. Adler 175 1.6× 44 0.4× 21 0.2× 47 0.5× 87 1.0× 14 429
Toshiharu Ito 137 1.2× 90 0.9× 33 0.3× 47 0.5× 111 1.3× 20 414

Countries citing papers authored by Hidetoshi Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Uemura. A scholar is included among the top collaborators of Hidetoshi Uemura 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 Hidetoshi Uemura. Hidetoshi Uemura 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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