Mikio Mukai

125 total papers · 2.1k total citations
71 papers, 1.3k citations indexed

About

Mikio Mukai is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Mikio Mukai has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 20 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Molecular Biology. Recurrent topics in Mikio Mukai's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Glycosylation and Glycoproteins Research (9 papers) and Chemotherapy-induced cardiotoxicity and mitigation (7 papers). Mikio Mukai is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Glycosylation and Glycoproteins Research (9 papers) and Chemotherapy-induced cardiotoxicity and mitigation (7 papers). Mikio Mukai collaborates with scholars based in Japan, United States and Armenia. Mikio Mukai's co-authors include Soji Kasayama, Masafumi Koga, Toru Oka, Hiroshi Saitō, Michio Otsuki, Takumi Sumimoto, Jun Murai, Hiroshi Saito, Kunio Hiwada and Mareomi Hamada and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Mikio Mukai

69 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Mikio Mukai 485 342 319 184 153 71 1.3k
L Capron 267 0.6× 207 0.6× 304 1.0× 256 1.4× 143 0.9× 83 1.3k
Grażyna Sypniewska 292 0.6× 397 1.2× 261 0.8× 230 1.3× 303 2.0× 88 1.4k
Derun Taner Ertuğrul 437 0.9× 227 0.7× 315 1.0× 392 2.1× 234 1.5× 95 1.7k
Koji Oida 400 0.8× 462 1.4× 354 1.1× 589 3.2× 185 1.2× 51 1.5k
Toshio Hashimoto 390 0.8× 348 1.0× 299 0.9× 284 1.5× 187 1.2× 95 1.3k
Suzanne J.A. Korporaal 319 0.7× 380 1.1× 340 1.1× 490 2.7× 190 1.2× 51 1.5k
Arturo Fernández‐Cruz 326 0.7× 477 1.4× 304 1.0× 226 1.2× 179 1.2× 63 1.4k
Yidong Wei 177 0.4× 533 1.6× 446 1.4× 301 1.6× 168 1.1× 93 1.5k
E. Mularoni 467 1.0× 472 1.4× 152 0.5× 104 0.6× 169 1.1× 51 1.2k
Stéphane Jaisson 311 0.6× 114 0.3× 537 1.7× 181 1.0× 89 0.6× 72 1.7k

Countries citing papers authored by Mikio Mukai

Since Specialization
Citations

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

Fields of papers citing papers by Mikio Mukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikio Mukai

This figure shows the co-authorship network connecting the top 25 collaborators of Mikio Mukai. A scholar is included among the top collaborators of Mikio Mukai 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 Mikio Mukai. Mikio Mukai 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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2026