Tomoko Uemura

20 total papers · 1.0k total citations
12 papers, 468 citations indexed

About

Tomoko Uemura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Tomoko Uemura has authored 12 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Nutrition and Dietetics. Recurrent topics in Tomoko Uemura's work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (3 papers) and Hepatitis B Virus Studies (2 papers). Tomoko Uemura is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (3 papers) and Hepatitis B Virus Studies (2 papers). Tomoko Uemura collaborates with scholars based in Japan, Sweden and United Kingdom. Tomoko Uemura's co-authors include So Iwata, Norimichi Nomura, Hidetsugu Asada, Yuki Shiimura, Kehong Liu, Junken Aoki, Zhikuan Zhang, Toshiyuki Shimizu, Takeshi Noda and Kunio Hirata and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tomoko Uemura

12 papers receiving 464 citations

Hit Papers

Structure of SARS-CoV-2 m... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Tomoko Uemura 230 93 81 73 58 12 468
Matthew S. Cowlen 232 1.0× 15 0.2× 65 0.8× 53 0.7× 12 0.2× 14 527
Yongdong Zhou 277 1.2× 36 0.4× 95 1.2× 24 0.3× 73 1.3× 19 517
Eui Seung Lee 314 1.4× 25 0.3× 83 1.0× 34 0.5× 13 0.2× 12 531
Masayoshi Kikuchi 132 0.6× 32 0.3× 72 0.9× 9 0.1× 12 0.2× 12 416
Tomoaki Komai 236 1.0× 59 0.6× 95 1.2× 54 0.7× 28 0.5× 14 488
Lorelie Villarete 204 0.9× 63 0.7× 59 0.7× 12 0.2× 15 0.3× 13 539
B R Nodes 333 1.4× 121 1.3× 50 0.6× 63 0.9× 13 0.2× 9 481
Yuko Murakami 109 0.5× 22 0.2× 61 0.8× 50 0.7× 7 0.1× 24 438
H Liu 357 1.6× 35 0.4× 88 1.1× 89 1.2× 15 0.3× 20 487
Danièle Duval 144 0.6× 113 1.2× 50 0.6× 32 0.4× 20 0.3× 20 448

Countries citing papers authored by Tomoko Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Uemura

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