Daisaku Maeda

19 papers and 413 indexed citations i.

About

Daisaku Maeda is a scholar working on General Health Professions, Health and Demography. According to data from OpenAlex, Daisaku Maeda has authored 19 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 5 papers in Health and 3 papers in Demography. Recurrent topics in Daisaku Maeda’s work include Health disparities and outcomes (5 papers), Health and Wellbeing Research (4 papers) and Aging and Gerontology Research (3 papers). Daisaku Maeda is often cited by papers focused on Health disparities and outcomes (5 papers), Health and Wellbeing Research (4 papers) and Aging and Gerontology Research (3 papers). Daisaku Maeda collaborates with scholars based in Japan, United States and China. Daisaku Maeda's co-authors include Shu Yin, M. Ishitsuka, Jersey Liang, Tsugio Sato, Hitoshi Hasegawa, Joan Bennett, Nancy Whitelaw, Linda M. Goldenhar, Gina Jay and Neal Krause and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Social Science & Medicine and Medical Care.

In The Last Decade

Co-authorship network of co-authors of Daisaku Maeda i

Fields of papers citing papers by Daisaku Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daisaku Maeda

Since Specialization
Citations

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