Masashi Ikushima

45 total papers · 1.7k total citations
19 papers, 1.4k citations indexed

About

Masashi Ikushima is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Molecular Biology. According to data from OpenAlex, Masashi Ikushima has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Nephrology and 5 papers in Molecular Biology. Recurrent topics in Masashi Ikushima's work include Parathyroid Disorders and Treatments (6 papers), Acute Myocardial Infarction Research (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Masashi Ikushima is often cited by papers focused on Parathyroid Disorders and Treatments (6 papers), Acute Myocardial Infarction Research (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Masashi Ikushima collaborates with scholars based in Japan and China. Masashi Ikushima's co-authors include Toshio Ogihara, Hiromi Rakugi, Kōichi Yamamoto, Hiroshi Ito, Kenshi Fujii, Shigeo Kawano, Katsuomi Iwakura, Yoshihiro Maekawa, Kazuhiko Ishikawa and Iwao Kida and has published in prestigious journals such as Journal of the American College of Cardiology, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Masashi Ikushima

19 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Masashi Ikushima 695 368 298 291 279 19 1.4k
Erin Coglianese 691 1.0× 600 1.6× 294 1.0× 152 0.5× 84 0.3× 26 1.8k
Yasuhisa Okuno 630 0.9× 235 0.6× 337 1.1× 447 1.5× 109 0.4× 40 1.8k
A S Krolewski 452 0.7× 604 1.6× 279 0.9× 776 2.7× 74 0.3× 29 1.8k
Tonny Jensen 437 0.6× 342 0.9× 376 1.3× 801 2.8× 80 0.3× 47 1.5k
Kustaa Hietala 209 0.3× 282 0.8× 182 0.6× 617 2.1× 172 0.6× 26 1.2k
Celanie K. Christensen 399 0.6× 745 2.0× 131 0.4× 548 1.9× 72 0.3× 13 1.5k
Ling Yu 420 0.6× 402 1.1× 150 0.5× 305 1.0× 105 0.4× 54 1.6k
Leonard L. Wu 499 0.7× 315 0.9× 107 0.4× 294 1.0× 76 0.3× 16 1.6k
H. G. Rennke 383 0.6× 937 2.5× 145 0.5× 249 0.9× 63 0.2× 32 1.7k
H.‐J. Bangstad 241 0.3× 434 1.2× 221 0.7× 674 2.3× 55 0.2× 25 1.3k

Countries citing papers authored by Masashi Ikushima

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Ikushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Ikushima

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