Keizo Noma

26 papers and 414 indexed citations i.

About

Keizo Noma is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Keizo Noma has authored 26 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Keizo Noma’s work include Estrogen and related hormone effects (15 papers), Hormonal and reproductive studies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Keizo Noma is often cited by papers focused on Estrogen and related hormone effects (15 papers), Hormonal and reproductive studies (5 papers) and Receptor Mechanisms and Signaling (4 papers). Keizo Noma collaborates with scholars based in Japan. Keizo Noma's co-authors include Bunzo Sato, Keishi Matsumoto, Yuichi Yamamura, Yasuko Nishizawa, Kiyohide Nakao, Susumu Kishimoto, Yasuhiko Morimoto, Yoshiaki Maeda, Masafumi Koga and Makoto Nakao and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Endocrinology and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

Co-authorship network of co-authors of Keizo Noma i

Fields of papers citing papers by Keizo Noma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keizo Noma

Since Specialization
Citations

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