T. Kita

About

T. Kita is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, T. Kita has authored 3 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Endocrinology, Diabetes and Metabolism, 1 paper in Surgery and 1 paper in Physiology. Recurrent topics in T. Kita’s work include Vitamin D Research Studies (1 paper), Adipose Tissue and Metabolism (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). T. Kita is often cited by papers focused on Vitamin D Research Studies (1 paper), Adipose Tissue and Metabolism (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). T. Kita collaborates with scholars based in Japan. T. Kita's co-authors include C Kawai, Hisahiro Yoshida, Masataka Yokode, Kenji Ishii, Akira Ooshima, Yukio Nagano, Noriaki Kume, Kazuo Chihara, Naoto Minamitani and Junji Iwasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Experimental Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of T. Kita i

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Fields of papers citing papers by T. Kita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by T. Kita

Since Specialization

Citations

This map shows the geographic impact of T. Kita'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 T. Kita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kita 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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