Makiko Sakata

30 papers and 570 indexed citations i.

About

Makiko Sakata is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Makiko Sakata has authored 30 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Makiko Sakata’s work include Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (9 papers) and Genetic factors in colorectal cancer (6 papers). Makiko Sakata is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (9 papers) and Genetic factors in colorectal cancer (6 papers). Makiko Sakata collaborates with scholars based in Japan, United Kingdom and United States. Makiko Sakata's co-authors include Tetsuhiro Goto, Kenji Hibi, Hiroki Mizukami, Gaku Kigawa, Hiroshi Nemoto, Mariko Saito, Kazuyoshi Ishibashi, Yutaka Sanada, Atsushi Shirahata and Kazuma Sakuraba and has published in prestigious journals such as World Journal of Surgery, PubMed and Nihon Daicho Komonbyo Gakkai Zasshi.

In The Last Decade

Co-authorship network of co-authors of Makiko Sakata i

Fields of papers citing papers by Makiko Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Makiko Sakata

Since Specialization
Citations

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