Hitoshi Tokuda

69 total papers · 1.4k total citations
45 papers, 833 citations indexed

About

Hitoshi Tokuda is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Hitoshi Tokuda has authored 45 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 21 papers in Pulmonary and Respiratory Medicine and 14 papers in Surgery. Recurrent topics in Hitoshi Tokuda's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Pneumocystis jirovecii pneumonia detection and treatment (12 papers) and Infectious Diseases and Tuberculosis (9 papers). Hitoshi Tokuda is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Pneumocystis jirovecii pneumonia detection and treatment (12 papers) and Infectious Diseases and Tuberculosis (9 papers). Hitoshi Tokuda collaborates with scholars based in Japan, South Korea and Greece. Hitoshi Tokuda's co-authors include Sadatomo Tasaka, Fumikazu Sakai, Makoto Dohi, Takeshi Johkoh, Kazuhiro Tateda, Hideto Kameda, Hajime Goto, Shu Hashimoto, Koichiro Tatsumi and Noboru Hattori and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Cancer Immunology Immunotherapy.

In The Last Decade

Hitoshi Tokuda

41 papers receiving 808 citations

Author Peers

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

Author Last Decade Papers Cites
Hitoshi Tokuda 441 314 241 120 106 45 833
Masahiro Shirai 462 1.0× 413 1.3× 309 1.3× 82 0.7× 151 1.4× 52 915
Kentaro Nakashima 214 0.5× 204 0.6× 154 0.6× 159 1.3× 69 0.7× 51 766
A. Parrot 233 0.5× 443 1.4× 93 0.4× 58 0.5× 137 1.3× 65 891
Masao Hotchi 232 0.5× 235 0.7× 208 0.9× 60 0.5× 148 1.4× 52 796
Sukanya Wattanapokayakit 456 1.0× 130 0.4× 237 1.0× 61 0.5× 54 0.5× 29 975
Wellington Jao 244 0.6× 153 0.5× 125 0.5× 256 2.1× 60 0.6× 28 907
B. Sopeña 191 0.4× 142 0.5× 149 0.6× 56 0.5× 124 1.2× 74 777
Naho Kagiyama 275 0.6× 499 1.6× 185 0.8× 80 0.7× 61 0.6× 51 865
Maria Abadi 466 1.1× 93 0.3× 158 0.7× 100 0.8× 53 0.5× 35 1.0k
Guy Cornu 159 0.4× 176 0.6× 148 0.6× 224 1.9× 76 0.7× 46 976

Countries citing papers authored by Hitoshi Tokuda

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Tokuda

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