Go Hiasa

113 total papers · 1.3k total citations
63 papers, 1.0k citations indexed

About

Go Hiasa is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Go Hiasa has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cardiology and Cardiovascular Medicine, 19 papers in Surgery and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Go Hiasa's work include Cardiovascular Function and Risk Factors (21 papers), Cardiac Imaging and Diagnostics (15 papers) and Cardiomyopathy and Myosin Studies (15 papers). Go Hiasa is often cited by papers focused on Cardiovascular Function and Risk Factors (21 papers), Cardiac Imaging and Diagnostics (15 papers) and Cardiomyopathy and Myosin Studies (15 papers). Go Hiasa collaborates with scholars based in Japan, United States and United Kingdom. Go Hiasa's co-authors include Hideki Okayama, Takumi Sumimoto, Katsuji Inoue, Kazuhisa Nishimura, Mareomi Hamada, Tomoaki Ohtsuka, Makoto Suzuki, Kunio Hiwada, Osamu Sasaki and Akiyoshi Ogimoto and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and European Heart Journal.

In The Last Decade

Go Hiasa

59 papers receiving 989 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Go Hiasa	814	225	195	114	113	63	1.0k
Zehra Buğra	568 0.7×	206 0.9×	228 1.2×	113 1.0×	86 0.8×	62	900
Osamu Hirono	780 1.0×	231 1.0×	199 1.0×	106 0.9×	106 0.9×	41	1.2k
Inés García‐Lunar	582 0.7×	182 0.8×	232 1.2×	155 1.4×	96 0.8×	38	885
Berrin Umman	795 1.0×	343 1.5×	372 1.9×	104 0.9×	71 0.6×	71	1.1k
A Bertini	476 0.6×	126 0.6×	244 1.3×	80 0.7×	107 0.9×	47	1.1k
Noriaki Tabata	525 0.6×	208 0.9×	232 1.2×	81 0.7×	96 0.8×	77	843
Ferhan Özmen	774 1.0×	158 0.7×	160 0.8×	105 0.9×	71 0.6×	42	1.1k
Piotr Klimeczek	555 0.7×	297 1.3×	209 1.1×	160 1.4×	66 0.6×	37	987
Makoto Akaishi	818 1.0×	301 1.3×	258 1.3×	96 0.8×	81 0.7×	56	1.2k
Petr Toušek	650 0.8×	120 0.5×	371 1.9×	125 1.1×	168 1.5×	75	952

Countries citing papers authored by Go Hiasa

Since Specialization

Citations

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

Fields of papers citing papers by Go Hiasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Hiasa

This figure shows the co-authorship network connecting the top 25 collaborators of Go Hiasa. A scholar is included among the top collaborators of Go Hiasa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Go Hiasa. Go Hiasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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