Maiko Narahara

About

Maiko Narahara is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Maiko Narahara has authored 4 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Maiko Narahara’s work include Forensic and Genetic Research (1 paper), Genomics and Chromatin Dynamics (1 paper) and Protein Degradation and Inhibitors (1 paper). Maiko Narahara is often cited by papers focused on Forensic and Genetic Research (1 paper), Genomics and Chromatin Dynamics (1 paper) and Protein Degradation and Inhibitors (1 paper). Maiko Narahara collaborates with scholars based in Japan, United States and Germany. Maiko Narahara's co-authors include Koichiro Higasa, Kenichi Matsubara, Miho Ishii, Yasuharu Tabara, Takahisa Kawaguchi, Ryo Yamada, Seiji Nakamura, Fumihiko Matsuda, Paul Severson and Yan Ma and has published in prestigious journals such as PLoS ONE, Haematologica and International Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Maiko Narahara i

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Fields of papers citing papers by Maiko Narahara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maiko Narahara

Since Specialization

Citations

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