Maki Goto

166 papers and 5.0k indexed citations i.

About

Maki Goto is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Maki Goto has authored 166 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Reproductive Medicine, 37 papers in Public Health, Environmental and Occupational Health and 35 papers in Molecular Biology. Recurrent topics in Maki Goto’s work include Ovarian function and disorders (33 papers), Reproductive Biology and Fertility (27 papers) and Endometriosis Research and Treatment (20 papers). Maki Goto is often cited by papers focused on Ovarian function and disorders (33 papers), Reproductive Biology and Fertility (27 papers) and Endometriosis Research and Treatment (20 papers). Maki Goto collaborates with scholars based in Japan, United States and United Kingdom. Maki Goto's co-authors include Akira Iwase, Fumitaka Kikkawa, Atsushi Goto, Mitsuhiko Noda, Satohiro Masuda, Ken‐ichi Inui, Shizufumi Ebihara, Tomoko Nakamura, Yasuo Terauchi and I Oshima and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Maki Goto i

Fields of papers citing papers by Maki Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maki Goto

Since Specialization
Citations

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