Tatsuya Ikeda

62 total papers · 2.3k total citations
50 papers, 800 citations indexed

About

Tatsuya Ikeda is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tatsuya Ikeda has authored 50 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 33 papers in Infectious Diseases and 20 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tatsuya Ikeda's work include Respiratory viral infections research (27 papers), Viral gastroenteritis research and epidemiology (21 papers) and Viral Infections and Immunology Research (20 papers). Tatsuya Ikeda is often cited by papers focused on Respiratory viral infections research (27 papers), Viral gastroenteritis research and epidemiology (21 papers) and Viral Infections and Immunology Research (20 papers). Tatsuya Ikeda collaborates with scholars based in Japan, United States and Taiwan. Tatsuya Ikeda's co-authors include Katsumi Mizuta, Yoko Aoki, Tsutomu Itagaki, Chieko Abiko, Yoko Matsuzaki, Tadayuki Ahiko, Masahiro Noda, Hirokazu Kimura, Yuriko Katsushima and Fumio Katsushima and has published in prestigious journals such as Journal of Clinical Oncology, Emerging infectious diseases and Vaccine.

In The Last Decade

Tatsuya Ikeda

48 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
Tatsuya Ikeda 539 477 313 87 68 50 800
Fanny Renois 474 0.9× 426 0.9× 331 1.1× 70 0.8× 107 1.6× 35 914
Liyun Su 362 0.7× 395 0.8× 244 0.8× 89 1.0× 45 0.7× 40 709
Lara Turin 355 0.7× 453 0.9× 354 1.1× 125 1.4× 82 1.2× 21 740
Rachel Handsher 396 0.7× 641 1.3× 600 1.9× 90 1.0× 57 0.8× 44 1.0k
Christine Kottaridi 445 0.8× 253 0.5× 232 0.7× 58 0.7× 194 2.9× 76 921
J. J. Chomel 506 0.9× 486 1.0× 674 2.2× 66 0.8× 125 1.8× 37 1.1k
Naiying Mao 544 1.0× 478 1.0× 353 1.1× 49 0.6× 132 1.9× 54 892
Lingfeng Cao 361 0.7× 429 0.9× 226 0.7× 78 0.9× 62 0.9× 43 744
G. van Steenis 232 0.4× 402 0.8× 344 1.1× 118 1.4× 84 1.2× 31 802
Quang Duy Trinh 230 0.4× 641 1.3× 429 1.4× 264 3.0× 41 0.6× 51 839

Countries citing papers authored by Tatsuya Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Ikeda

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