Daisuke Umeda

28 total papers · 897 total citations
19 papers, 769 citations indexed

About

Daisuke Umeda is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Daisuke Umeda has authored 19 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 8 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Daisuke Umeda's work include Tea Polyphenols and Effects (8 papers), Phytochemicals and Antioxidant Activities (4 papers) and Mast cells and histamine (3 papers). Daisuke Umeda is often cited by papers focused on Tea Polyphenols and Effects (8 papers), Phytochemicals and Antioxidant Activities (4 papers) and Mast cells and histamine (3 papers). Daisuke Umeda collaborates with scholars based in Japan. Daisuke Umeda's co-authors include Hirofumi Tachibana, Kôji Yamada, Satomi Yano, Yoshinori Fujimura, Koji Yamada, Shuya Yamashita, Mari Maeda‐Yamamoto, Yoonhee Kim, Motofumi Kumazoe and Motoki Murata and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Agricultural and Food Chemistry.

In The Last Decade

Daisuke Umeda

19 papers receiving 745 citations

Author Peers

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

Author Last Decade Papers Cites
Daisuke Umeda 346 229 204 121 78 19 769
Bong Whan Ahn 173 0.5× 380 1.7× 107 0.5× 160 1.3× 88 1.1× 29 884
Claudia Seul 213 0.6× 306 1.3× 107 0.5× 104 0.9× 67 0.9× 23 620
Hasan Mukhtar 263 0.8× 385 1.7× 173 0.8× 70 0.6× 77 1.0× 19 910
Mudit Vaid 117 0.3× 479 2.1× 137 0.7× 93 0.8× 77 1.0× 27 899
Taiki Mori 263 0.8× 406 1.8× 195 1.0× 79 0.7× 45 0.6× 27 872
Chih‐Ping Hsu 114 0.3× 351 1.5× 186 0.9× 38 0.3× 141 1.8× 34 787
Huanyu Jin 307 0.9× 288 1.3× 277 1.4× 100 0.8× 131 1.7× 9 864
Suresh R. Volate 72 0.2× 381 1.7× 129 0.6× 37 0.3× 87 1.1× 11 752
Yuan‐Chiang Chung 57 0.2× 310 1.4× 127 0.6× 62 0.5× 212 2.7× 35 776
Ke-Wang Luo 149 0.4× 395 1.7× 93 0.5× 104 0.9× 195 2.5× 29 909

Countries citing papers authored by Daisuke Umeda

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Umeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Umeda

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