Jun Arita

92 papers and 1.7k indexed citations i.

About

Jun Arita is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Reproductive Medicine. According to data from OpenAlex, Jun Arita has authored 92 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 26 papers in Cellular and Molecular Neuroscience and 25 papers in Reproductive Medicine. Recurrent topics in Jun Arita’s work include Hypothalamic control of reproductive hormones (25 papers), Growth Hormone and Insulin-like Growth Factors (24 papers) and Stress Responses and Cortisol (15 papers). Jun Arita is often cited by papers focused on Hypothalamic control of reproductive hormones (25 papers), Growth Hormone and Insulin-like Growth Factors (24 papers) and Stress Responses and Cortisol (15 papers). Jun Arita collaborates with scholars based in Japan, United States and China. Jun Arita's co-authors include Fukuko Kimura, MASAZUMI KAWAKAMI, Shigenobu Kanba, John C. Porter, Tooru M. Mizuno, Yasuhiro Kojima, Tetsuo Mitsui, Nobuhiro Sugiyama, Ping Yin and Takashi Higuchi and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Jun Arita i

Fields of papers citing papers by Jun Arita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Arita

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025