Kanji Seiki

60 papers and 843 indexed citations i.

About

Kanji Seiki is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Reproductive Medicine. According to data from OpenAlex, Kanji Seiki has authored 60 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 13 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Reproductive Medicine. Recurrent topics in Kanji Seiki’s work include Estrogen and related hormone effects (24 papers), Stress Responses and Cortisol (7 papers) and Hypothalamic control of reproductive hormones (6 papers). Kanji Seiki is often cited by papers focused on Estrogen and related hormone effects (24 papers), Stress Responses and Cortisol (7 papers) and Hypothalamic control of reproductive hormones (6 papers). Kanji Seiki collaborates with scholars based in Japan and United States. Kanji Seiki's co-authors include Kou Sakabe, Masahiko Okuma, Joji Mochida, Kazuhiro Nishimura, Akira Yamashita, Yasuo Haruki, Masahiko Kotani, Masakazu Hattori, Akira Akatsuka and Tomoo Enomoto and has published in prestigious journals such as Circulation, Blood and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Kanji Seiki i

Fields of papers citing papers by Kanji Seiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanji Seiki

Since Specialization
Citations

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