Akito Maeshima

89 papers and 2.3k indexed citations i.

About

Akito Maeshima is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Akito Maeshima has authored 89 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 30 papers in Nephrology and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Akito Maeshima’s work include Renal and related cancers (31 papers), TGF-β signaling in diseases (13 papers) and Renal Diseases and Glomerulopathies (13 papers). Akito Maeshima is often cited by papers focused on Renal and related cancers (31 papers), TGF-β signaling in diseases (13 papers) and Renal Diseases and Glomerulopathies (13 papers). Akito Maeshima collaborates with scholars based in Japan, United States and United Kingdom. Akito Maeshima's co-authors include Yoshihisa Nojima, Shin Yamashita, Itaru Kojima, Keiju Hiromura, Hidekazu Ikeuchi, Yoriaki Kaneko, Takashi Kuroiwa, Toru Sakairi, Sanjay K. Nigám and You-Qing Zhang and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Akito Maeshima i

Fields of papers citing papers by Akito Maeshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akito Maeshima

Since Specialization
Citations

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