Masashi Mukohda

78 total papers · 1.0k total citations
33 papers, 886 citations indexed

About

Masashi Mukohda is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Masashi Mukohda has authored 33 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 12 papers in Molecular Biology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Masashi Mukohda's work include Nitric Oxide and Endothelin Effects (9 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Advanced Glycation End Products research (8 papers). Masashi Mukohda is often cited by papers focused on Nitric Oxide and Endothelin Effects (9 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Advanced Glycation End Products research (8 papers). Masashi Mukohda collaborates with scholars based in Japan, United States and Cameroon. Masashi Mukohda's co-authors include Hideyuki Yamawaki, Yukio Hara, Muneyoshi Okada, Curt D. Sigmund, Chunyan Hu, Madeliene Stump, Tomoka Morita, Hiroshi Ozaki, Risuke Mizuno and Minako Takahashi and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and The FASEB Journal.

In The Last Decade

Masashi Mukohda

32 papers receiving 879 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 Mukohda 344 243 237 231 148 33 886
Gautham Yepuri 296 0.9× 292 1.2× 127 0.5× 125 0.5× 125 0.8× 20 965
Naotaka Sekiguchi 284 0.8× 250 1.0× 113 0.5× 142 0.6× 163 1.1× 22 801
Carmela Nacci 265 0.8× 203 0.8× 218 0.9× 155 0.7× 55 0.4× 32 857
Nobuyuki Banba 247 0.7× 246 1.0× 129 0.5× 96 0.4× 118 0.8× 35 975
Caroline Daneault 242 0.7× 311 1.3× 117 0.5× 119 0.5× 45 0.3× 35 802
Hisako Matsui‐Hirai 367 1.1× 258 1.1× 236 1.0× 126 0.5× 51 0.3× 18 1.0k
Sara García‐Serrano 408 1.2× 252 1.0× 169 0.7× 283 1.2× 40 0.3× 48 959
Avshalom Leibowitz 241 0.7× 255 1.0× 291 1.2× 116 0.5× 53 0.4× 58 1.0k
Samy Hadjadj 172 0.5× 194 0.8× 177 0.7× 208 0.9× 62 0.4× 32 805
Katarina Lalić 255 0.7× 279 1.1× 146 0.6× 193 0.8× 50 0.3× 75 1.0k

Countries citing papers authored by Masashi Mukohda

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Mukohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Mukohda

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