Meiko Hashimoto Maeda

35 papers and 562 indexed citations i.

About

Meiko Hashimoto Maeda is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Meiko Hashimoto Maeda has authored 35 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Epidemiology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Meiko Hashimoto Maeda’s work include Inflammatory Myopathies and Dermatomyositis (11 papers), Genetic Neurodegenerative Diseases (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). Meiko Hashimoto Maeda is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (11 papers), Genetic Neurodegenerative Diseases (6 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). Meiko Hashimoto Maeda collaborates with scholars based in Japan, United States and Taiwan. Meiko Hashimoto Maeda's co-authors include Jun Shimizu, Shoji Tsuji, Yoshiyuki Kawazoe, K. Koshimizu, Tomohiko Yamane, Mikio Kakumoto, Shizuo Odashima, Akira Murakami, Kohei Kawabata and Takuji Tanaka and has published in prestigious journals such as Brain, Hepatology and Neurology.

In The Last Decade

Co-authorship network of co-authors of Meiko Hashimoto Maeda i

Fields of papers citing papers by Meiko Hashimoto Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meiko Hashimoto Maeda. 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 Meiko Hashimoto Maeda. The network helps show where Meiko Hashimoto Maeda may publish in the future.

Countries citing papers authored by Meiko Hashimoto Maeda

Since Specialization
Citations

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

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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2025