Masamichi Imai

49 total papers · 456 total citations
29 papers, 334 citations indexed

About

Masamichi Imai is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masamichi Imai has authored 29 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masamichi Imai's work include Medical Imaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (7 papers) and Cardiac Imaging and Diagnostics (6 papers). Masamichi Imai is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (7 papers) and Cardiac Imaging and Diagnostics (6 papers). Masamichi Imai collaborates with scholars based in Japan, United States and Netherlands. Masamichi Imai's co-authors include Bharath Ambale‐Venkatesh, João A.C. Lima, Mohammadali Habibi, David A. Bluemke, Susan R. Heckbert, Sanaz Samiei, Colin O. Wu, Yoko Satoh, Hiroshi Onishi and Toshiaki Nitatori and has published in prestigious journals such as PLoS ONE, Radiology and European Journal of Pharmacology.

In The Last Decade

Masamichi Imai

28 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Masamichi Imai 185 152 40 25 21 29 334
Mikko Taina 152 0.8× 143 0.9× 38 0.9× 38 1.5× 11 0.5× 22 363
Fumiaki Nakao 68 0.4× 114 0.8× 61 1.5× 18 0.7× 12 0.6× 29 358
M. Oguri 103 0.6× 195 1.3× 34 0.8× 20 0.8× 19 0.9× 18 328
Ziqian Xu 136 0.7× 158 1.0× 18 0.5× 12 0.5× 20 1.0× 36 344
Jose Alvarez‐Cardona 78 0.4× 167 1.1× 50 1.3× 8 0.3× 21 1.0× 18 347
Akio Kuroiwa 145 0.8× 169 1.1× 14 0.3× 4 0.2× 30 1.4× 18 364
Shan Tong 124 0.7× 62 0.4× 46 1.1× 7 0.3× 25 1.2× 24 340
Ebba Beller 126 0.7× 63 0.4× 53 1.3× 34 1.4× 29 1.4× 27 352
Toshinori Nakamura 47 0.3× 76 0.5× 41 1.0× 45 1.8× 14 0.7× 28 332
T Mano 144 0.8× 65 0.4× 13 0.3× 14 0.6× 10 0.5× 28 355

Countries citing papers authored by Masamichi Imai

Since Specialization
Citations

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

Fields of papers citing papers by Masamichi Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masamichi Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Masamichi Imai. A scholar is included among the top collaborators of Masamichi Imai 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 Masamichi Imai. Masamichi Imai 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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