Doi S

72 papers and 1.4k indexed citations i.

About

Doi S is a scholar working on Biomedical Engineering, Hematology and Molecular Biology. According to data from OpenAlex, Doi S has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Hematology and 7 papers in Molecular Biology. Recurrent topics in Doi S’s work include Chronic Lymphocytic Leukemia Research (7 papers), Lignin and Wood Chemistry (5 papers) and Membrane-based Ion Separation Techniques (4 papers). Doi S is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Lignin and Wood Chemistry (5 papers) and Membrane-based Ion Separation Techniques (4 papers). Doi S collaborates with scholars based in Japan, United States and South Korea. Doi S's co-authors include Y. Kurimoto, Masakazu Aoyama, Regina M. Santella, Yikai Zhang, I. Bernard Weinstein, Angela Cacace, Panghu Zhou, Wei Jiang, Scott M. Kahn and Akio Koizumi and has published in prestigious journals such as Journal of Biological Chemistry, Bioresource Technology and Journal of Materials Chemistry A.

In The Last Decade

Co-authorship network of co-authors of Doi S i

Fields of papers citing papers by Doi S

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Doi S

Since Specialization
Citations

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