Shinichi Inada

29 total papers · 1.4k total citations
19 papers, 1.0k citations indexed

About

Shinichi Inada is a scholar working on Rheumatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Shinichi Inada has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 7 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Shinichi Inada's work include Systemic Lupus Erythematosus Research (6 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). Shinichi Inada is often cited by papers focused on Systemic Lupus Erythematosus Research (6 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). Shinichi Inada collaborates with scholars based in Japan, United States and Czechia. Shinichi Inada's co-authors include Tsuneyo Mimori, Akira Suwa, Michito Hirakata, Shinji Sato, Masataka Kuwana, Takeji Nishikawa, Chester V. Oddis, Yasuo Ikeda, Masashi Akizuki and Mitsuo Homma and has published in prestigious journals such as Current topics in cellular regulation, Amyloid and Modern Rheumatology.

In The Last Decade

Shinichi Inada

19 papers receiving 970 citations

Hit Papers

Autoantibodies to a 140‐k... 2005 2026 2012 2019 2005 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Shinichi Inada 690 552 249 218 212 19 1.0k
Hanbo Yang 579 0.8× 403 0.7× 200 0.8× 249 1.1× 120 0.6× 30 849
Takaki Nojima 360 0.5× 423 0.8× 236 0.9× 279 1.3× 96 0.5× 32 897
Shio Kobayashi 446 0.6× 394 0.7× 144 0.6× 391 1.8× 160 0.8× 16 944
Sevim Barbasso Helmers 695 1.0× 375 0.7× 174 0.7× 287 1.3× 98 0.5× 17 880
Edward P. Trieu 739 1.1× 529 1.0× 267 1.1× 263 1.2× 101 0.5× 13 1.0k
Yves Troyanov 664 1.0× 345 0.6× 141 0.6× 166 0.8× 154 0.7× 24 856
María Ángeles Martínez 509 0.7× 304 0.6× 173 0.7× 137 0.6× 48 0.2× 25 877
S. John Calise 461 0.7× 204 0.4× 523 2.1× 89 0.4× 67 0.3× 18 875
S Ozaki 223 0.3× 269 0.5× 170 0.7× 353 1.6× 200 0.9× 30 813
M J Fritzler 177 0.3× 458 0.8× 238 1.0× 373 1.7× 64 0.3× 20 1.1k

Countries citing papers authored by Shinichi Inada

Since Specialization
Citations

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

Fields of papers citing papers by Shinichi Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinichi Inada

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