K Kita

156 papers and 3.2k indexed citations i.

About

K Kita is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, K Kita has authored 156 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 34 papers in Hematology and 22 papers in Immunology. Recurrent topics in K Kita’s work include Acute Myeloid Leukemia Research (27 papers), Biochemical and Molecular Research (22 papers) and Acute Lymphoblastic Leukemia research (19 papers). K Kita is often cited by papers focused on Acute Myeloid Leukemia Research (27 papers), Biochemical and Molecular Research (22 papers) and Acute Lymphoblastic Leukemia research (19 papers). K Kita collaborates with scholars based in Japan, China and Australia. K Kita's co-authors include H Miwa, Nobuo Suzuki, A Otsuji, Kazunori Nakase, S Shirakawa, Masamiti Tatibana, T Yamagami, Haruo Sugiyama, Kazushi Inoue and Haruo Miwa and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.

In The Last Decade

Co-authorship network of co-authors of K Kita i

Fields of papers citing papers by K Kita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by K Kita

Since Specialization
Citations

This map shows the geographic impact of K 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 K Kita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K 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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2025