Akifumi Fujita

68 papers and 1.1k indexed citations i.

About

Akifumi Fujita is a scholar working on Surgery, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Akifumi Fujita has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 13 papers in Neurology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Akifumi Fujita’s work include Cerebral Venous Sinus Thrombosis (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Salivary Gland Tumors Diagnosis and Treatment (7 papers). Akifumi Fujita is often cited by papers focused on Cerebral Venous Sinus Thrombosis (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Salivary Gland Tumors Diagnosis and Treatment (7 papers). Akifumi Fujita collaborates with scholars based in Japan, United States and Russia. Akifumi Fujita's co-authors include Hideharu Sugimoto, Osamu Sakai, Osamu Sakai, Karen Buch, Muhammad M. Qureshi, Margaret N. Chapman, Y Kawashima, Yoshio Hirabayashi, N. Seo and Rohini N. Nadgir and has published in prestigious journals such as Radiology, The Journal of the Acoustical Society of America and Journal of Dental Research.

In The Last Decade

Co-authorship network of co-authors of Akifumi Fujita i

Fields of papers citing papers by Akifumi Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akifumi Fujita

Since Specialization
Citations

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