Ikuyo Ueda

37 total papers · 1.3k total citations
28 papers, 766 citations indexed

About

Ikuyo Ueda is a scholar working on Immunology, Hematology and Infectious Diseases. According to data from OpenAlex, Ikuyo Ueda has authored 28 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 14 papers in Hematology and 6 papers in Infectious Diseases. Recurrent topics in Ikuyo Ueda's work include Autoimmune and Inflammatory Disorders Research (14 papers), Immune Cell Function and Interaction (10 papers) and Parvovirus B19 Infection Studies (6 papers). Ikuyo Ueda is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (14 papers), Immune Cell Function and Interaction (10 papers) and Parvovirus B19 Infection Studies (6 papers). Ikuyo Ueda collaborates with scholars based in Japan, United States and Taiwan. Ikuyo Ueda's co-authors include Shinsaku Imashuku, Eiichi Ishii, Akira Morimoto, Masahiro Sako, Shouichi Ohga, Takashi Fukushima, Albert C. Shaw, Tohru Sugimoto, Shigeyoshi Hibi and Ken Yamamoto and has published in prestigious journals such as The Journal of Immunology, The Journal of Infectious Diseases and The Journal of Pediatrics.

In The Last Decade

Ikuyo Ueda

27 papers receiving 746 citations

Author Peers

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

Author Last Decade Papers Cites
Ikuyo Ueda 449 436 273 94 94 28 766
Yongmin Tang 454 1.0× 320 0.7× 250 0.9× 83 0.9× 117 1.2× 36 868
Catherine E. Terrell 505 1.1× 524 1.2× 255 0.9× 57 0.6× 67 0.7× 17 832
Kazuhiro Kogawa 470 1.0× 339 0.8× 204 0.7× 43 0.5× 211 2.2× 27 837
Elena Sieni 676 1.5× 558 1.3× 420 1.5× 102 1.1× 24 0.3× 38 836
Brett Loechelt 349 0.8× 307 0.7× 232 0.8× 26 0.3× 115 1.2× 25 654
Shuwen Shi 354 0.8× 264 0.6× 159 0.6× 61 0.6× 100 1.1× 39 673
Sebastian F. N. Bode 301 0.7× 238 0.5× 170 0.6× 33 0.4× 73 0.8× 25 649
K. Mazodier 305 0.7× 274 0.6× 230 0.8× 43 0.5× 72 0.8× 36 738
Naoki Sakata 470 1.0× 386 0.9× 235 0.9× 39 0.4× 74 0.8× 44 799
Ashish Kumar 619 1.4× 501 1.1× 445 1.6× 51 0.5× 26 0.3× 14 810

Countries citing papers authored by Ikuyo Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Ikuyo Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuyo Ueda

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