Yuko Toyoda

62 total papers · 820 total citations
36 papers, 452 citations indexed

About

Yuko Toyoda is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Rheumatology. According to data from OpenAlex, Yuko Toyoda has authored 36 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 7 papers in Rheumatology. Recurrent topics in Yuko Toyoda's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (18 papers), Lung Cancer Treatments and Mutations (10 papers) and Systemic Sclerosis and Related Diseases (6 papers). Yuko Toyoda is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (18 papers), Lung Cancer Treatments and Mutations (10 papers) and Systemic Sclerosis and Related Diseases (6 papers). Yuko Toyoda collaborates with scholars based in Japan, Thailand and United States. Yuko Toyoda's co-authors include Hisatsugu Goto, Hiroshi Kawano, Yasuhiko Nishioka, Seidai Sato, Masaki Hanibuchi, Kazuya Koyama, Yoshinori Aono, Hirohisa Ogawa, Yasuhiko Nishioka and Jun Kishi and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory Cell and Molecular Biology and Oncotarget.

In The Last Decade

Yuko Toyoda

33 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Yuko Toyoda 283 93 91 87 62 36 452
Yukiko Miura 320 1.1× 87 0.9× 93 1.0× 72 0.8× 31 0.5× 36 488
Anne Campbell 298 1.1× 86 0.9× 108 1.2× 85 1.0× 92 1.5× 28 526
Hideki Makino 170 0.6× 96 1.0× 74 0.8× 55 0.6× 73 1.2× 33 420
Yaqiong Tian 273 1.0× 125 1.3× 51 0.6× 68 0.8× 34 0.5× 24 437
J.-F. Cordier 237 0.8× 132 1.4× 98 1.1× 62 0.7× 34 0.5× 26 447
Fumiaki Aoki 222 0.8× 166 1.8× 69 0.8× 43 0.5× 59 1.0× 26 515
Cinzia Giacometti 236 0.8× 83 0.9× 68 0.7× 54 0.6× 35 0.6× 33 491
Yukari Ichikawa 277 1.0× 48 0.5× 62 0.7× 79 0.9× 117 1.9× 32 486
Masato Takano 185 0.7× 56 0.6× 93 1.0× 55 0.6× 61 1.0× 34 432
Hiroaki Shimizu 137 0.5× 104 1.1× 99 1.1× 39 0.4× 33 0.5× 46 509

Countries citing papers authored by Yuko Toyoda

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Toyoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Toyoda

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