Yuichiro Mita

24 papers receiving 1.3k citations

Yuichiro Mita's Hit Papers

Cytosolic p53 inhibits Parkin-mediated mitophagy and promotes mitochondrial dysfunction in the mouse heart 2013 · 461 citations
4610+4+8Years since publication100200300400

Peers

Yuichiro Mita
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 89
  • Geriatrics and Gerontology 44
  • Nutrition and Dietetics 195
  • Epidemiology 375
  • Clinical Biochemistry 78
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Gary D. Lopaschuk Canada
Jonathan P. Lambert United States
Alba González-Franquesa Denmark
Ivan Luptak United States
Sara Menazza United States
David Y. Fann Singapore
Changjun Yang United States
Mingge Ding China
Jianjun Lv China
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Citations per field
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Citations per year

Countries citing papers authored by Yuichiro Mita

Since Specialization
Citations

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

Fields of papers citing papers by Yuichiro Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuichiro Mita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuichiro Mita Line = papers co-authored together Yuichiro Mita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cytosolic p53 inhibits Parkin-mediated mitophagy and promotes mitochondrial dysfunction in the mouse heart
Hit paper breakdown →
2013461
2 2011147
3 2017143
4 201989
5 201181
6 201062
7 201438
8 200938
9 201836
10 201634
11 201533
12 202221
13 201419
14 202216
15 201814
16 202314
17 202113
18 20197
19 20232
20 20242

About Yuichiro Mita

Yuichiro Mita is a scholar working on Nutrition and Dietetics, Molecular Biology, Neurology, Epidemiology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Selenium in Biological Systems (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (5 papers), Advanced Glycation End Products research (4 papers), Mitochondrial Function and Pathology (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Regulation of Appetite and Obesity (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (89 citations), Geriatrics and Gerontology (44 citations), Nutrition and Dietetics (195 citations), Epidemiology (375 citations) and Clinical Biochemistry (78 citations). Yuichiro Mita has collaborated with scholars based in Japan, United States and Bahrain. Frequent co-authors include Satoaki Matoba, Eri Iwai‐Kanai, Yoshifumi Okawa, Atsushi Hoshino, Koji Ikeda, Makoto Ariyoshi, Tomomi Ueyama, Takehiro Ogata, Yoshiro Saito and Noriko Noguchi. Their work appears in journals such as Nature Communications, Free Radical Research, Scientific Reports, Journal of Lipid Research and Journal of Molecular and Cellular Cardiology.

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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