Hiroshi Uemura

117 total papers · 1.8k total citations
87 papers, 1.5k citations indexed

About

Hiroshi Uemura is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biochemistry. According to data from OpenAlex, Hiroshi Uemura has authored 87 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 22 papers in Electrical and Electronic Engineering and 17 papers in Biochemistry. Recurrent topics in Hiroshi Uemura's work include Fungal and yeast genetics research (35 papers), Microbial Metabolic Engineering and Bioproduction (26 papers) and Lipid metabolism and biosynthesis (17 papers). Hiroshi Uemura is often cited by papers focused on Fungal and yeast genetics research (35 papers), Microbial Metabolic Engineering and Bioproduction (26 papers) and Lipid metabolism and biosynthesis (17 papers). Hiroshi Uemura collaborates with scholars based in Japan, United States and India. Hiroshi Uemura's co-authors include Yoshifumi Jigami, Yasushi Kamisaka, Kazuyoshi Kimura, D G Fraenkel, Hiromichi Kumagai, Hitoshi Iwahashi, Masakazu Yamaoka, Hideaki Tanaka, K Mizobuchi and M. Cecilia López and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Molecular and Cellular Biology.

In The Last Decade

Hiroshi Uemura

85 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Hiroshi Uemura 1.2k 321 270 170 109 87 1.5k
Akira Kuninaka 852 0.7× 130 0.4× 149 0.6× 144 0.8× 101 0.9× 100 1.5k
Hsin‐Liang Chen 597 0.5× 195 0.6× 85 0.3× 303 1.8× 140 1.3× 77 1.1k
Yoichi Kumada 1.2k 1.0× 225 0.7× 60 0.2× 194 1.1× 83 0.8× 78 1.5k
Jörg Bauer 952 0.8× 134 0.4× 315 1.2× 375 2.2× 46 0.4× 64 1.8k
Baohua Zhao 576 0.5× 208 0.6× 48 0.2× 284 1.7× 47 0.4× 103 1.6k
Yasuji Koyama 1.3k 1.1× 311 1.0× 109 0.4× 587 3.5× 30 0.3× 71 1.8k
Jos C. Arents 1.0k 0.9× 115 0.4× 77 0.3× 197 1.2× 26 0.2× 44 1.4k
Taek Jin Kang 864 0.7× 171 0.5× 45 0.2× 186 1.1× 24 0.2× 66 1.2k
James F. Parsons 1.2k 1.0× 79 0.2× 103 0.4× 276 1.6× 31 0.3× 52 1.6k
Yao Yu 1.1k 0.9× 254 0.8× 29 0.1× 333 2.0× 61 0.6× 104 1.6k

Countries citing papers authored by Hiroshi Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Uemura. A scholar is included among the top collaborators of Hiroshi 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 Hiroshi Uemura. Hiroshi 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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2026