Long-tai Fu

32 papers and 793 indexed citations i.

About

Long-tai Fu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Long-tai Fu has authored 32 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 10 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Long-tai Fu’s work include Cardiac electrophysiology and arrhythmias (14 papers), Atrial Fibrillation Management and Outcomes (13 papers) and Heart Rate Variability and Autonomic Control (6 papers). Long-tai Fu is often cited by papers focused on Cardiac electrophysiology and arrhythmias (14 papers), Atrial Fibrillation Management and Outcomes (13 papers) and Heart Rate Variability and Autonomic Control (6 papers). Long-tai Fu collaborates with scholars based in Japan, United States and France. Long-tai Fu's co-authors include Takeshi Yamashita, Kouichi Sagara, Takeshi Kato, Tadanori Aizawa, Akiko Sekiguchi, Hiroyuki Iinuma, Masayuki Takamura, Shuichi Kaneko, Yu‐ki Iwasaki and Takayuki Tsuneda and has published in prestigious journals such as Circulation, European Journal of Applied Physiology and Journal of Cardiovascular Electrophysiology.

In The Last Decade

Co-authorship network of co-authors of Long-tai Fu i

Fields of papers citing papers by Long-tai Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-tai Fu. 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 Long-tai Fu. The network helps show where Long-tai Fu may publish in the future.

Countries citing papers authored by Long-tai Fu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025