Koichi Uemura

179 total papers · 2.6k total citations
138 papers, 2.0k citations indexed

About

Koichi Uemura is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Koichi Uemura has authored 138 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 29 papers in Epidemiology and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Koichi Uemura's work include Autophagy in Disease and Therapy (24 papers), Heme Oxygenase-1 and Carbon Monoxide (18 papers) and Prostate Cancer Treatment and Research (11 papers). Koichi Uemura is often cited by papers focused on Autophagy in Disease and Therapy (24 papers), Heme Oxygenase-1 and Carbon Monoxide (18 papers) and Prostate Cancer Treatment and Research (11 papers). Koichi Uemura collaborates with scholars based in Japan, United States and Australia. Koichi Uemura's co-authors include Toshihiko Aki, Kana Unuma, Takeshi Funakoshi, Kaori Ishida, Kenichi Yoshida, Akina Nara, Ken‐ichi Yoshida, Kanako Noritake, Makoto Nakajima and Kanju Saka and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Koichi Uemura

132 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Koichi Uemura 989 324 275 208 197 138 2.0k
Zheng Zhang 1.0k 1.0× 284 0.9× 268 1.0× 268 1.3× 199 1.0× 147 2.5k
Masahiko Tanaka 725 0.7× 354 1.1× 166 0.6× 228 1.1× 238 1.2× 128 2.5k
Xiaoli Zhang 1.1k 1.1× 485 1.5× 237 0.9× 194 0.9× 195 1.0× 130 2.6k
Liqun Wang 969 1.0× 243 0.8× 318 1.2× 366 1.8× 210 1.1× 99 2.6k
A. Löwenthal 803 0.8× 479 1.5× 259 0.9× 211 1.0× 338 1.7× 147 2.7k
Chunlei Wang 966 1.0× 258 0.8× 258 0.9× 159 0.8× 153 0.8× 133 2.3k
Lu Gao 1.4k 1.4× 252 0.8× 338 1.2× 237 1.1× 176 0.9× 142 2.8k
Lorena Garcı́a 872 0.9× 312 1.0× 156 0.6× 248 1.2× 247 1.3× 80 2.4k
Hyung-Seok Kim 1.3k 1.3× 256 0.8× 278 1.0× 216 1.0× 220 1.1× 157 3.2k
Hiroyuki Matsuno 1.2k 1.3× 176 0.5× 210 0.8× 232 1.1× 278 1.4× 134 2.7k

Countries citing papers authored by Koichi Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Uemura

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