Takayoshi Umeda

18 total papers · 415 total citations
7 papers, 103 citations indexed

About

Takayoshi Umeda is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Takayoshi Umeda has authored 7 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Takayoshi Umeda's work include Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (1 paper) and Genomics and Rare Diseases (1 paper). Takayoshi Umeda is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (1 paper) and Genomics and Rare Diseases (1 paper). Takayoshi Umeda collaborates with scholars based in Japan and United States. Takayoshi Umeda's co-authors include Hiroyuki Aburatani, Genta Nagae, Yusuke Nakamura, Mamoru Kato, Keith Jones, Reiichiro Nakamichi, Takahisa Kawaguchi, Tatsuhiko Tsunoda, Shumpei Ishikawa and Michael H. Shapero and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Takayoshi Umeda

7 papers receiving 103 citations

Author Peers

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

Author Last Decade Papers Cites
Takayoshi Umeda 62 34 33 20 13 7 103
Grady C. Smith 183 3.0× 35 1.0× 32 1.0× 19 0.9× 10 0.8× 5 215
Joseph Christopher 55 0.9× 47 1.4× 29 0.9× 14 0.7× 5 0.4× 6 92
Maria Andrianova 64 1.0× 52 1.5× 28 0.8× 14 0.7× 6 0.5× 8 100
Georgios Vlachogiannis 90 1.5× 47 1.4× 30 0.9× 31 1.6× 3 0.2× 7 135
Alberto Díaz‐Talavera 170 2.7× 59 1.7× 38 1.2× 18 0.9× 11 0.8× 9 226
Irina K Popova 141 2.3× 10 0.3× 27 0.8× 9 0.5× 11 0.8× 6 163
Benjamin S. Geller 220 3.5× 39 1.1× 47 1.4× 20 1.0× 27 2.1× 9 272
Virginie Moncoutier 50 0.8× 31 0.9× 54 1.6× 12 0.6× 4 0.3× 7 87
Sam Lee 106 1.7× 33 1.0× 29 0.9× 16 0.8× 4 0.3× 5 215
Ammal Abbasi 35 0.6× 25 0.7× 16 0.5× 45 2.3× 5 0.4× 7 94

Countries citing papers authored by Takayoshi Umeda

Since Specialization
Citations

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

Fields of papers citing papers by Takayoshi Umeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayoshi Umeda

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