Makoto Ariyoshi

1.6k citations
21 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Mitochondrial Function and Pathology (4 papers)Cardiovascular Function and Risk Factors (4 papers)Cardiac Imaging and Diagnostics (3 papers)
Partner nations
JapanGreeceGermany

In The Last Decade

Makoto Ariyoshi

21 papers receiving 1.2k citations

Hit Papers

Cytosolic p53 inhibits Parkin-mediated mitophagy and prom...20132026201720212013100200300400

Peers

Makoto Ariyoshi
Comparison fields: 5 of 86
  • Molecular Biology 656
  • Epidemiology 448
  • Cardiology and Cardiovascular Medicine 317
  • Physiology 249
  • Surgery 209
Replace Yoshifumi Okawa with:
Yoshifumi Okawa Japan
Christian Pennanen Chile
Wataru Mizushima Japan
Huaiping Zhu United States
Ancai Yuan China
Teresa A. Hopkins Canada
Panjamaporn Sangwung United States
Olivia Lenoir France
Kyriakos N. Papanicolaou United States
Xiaolei Sun China
Makoto Ariyoshi relative to Yoshifumi Okawa Japan Yoshifumi Okawa's profile →
Citations per field
00.5×1.5×
Yoshifumi Okawa · 1×
Citations per year

Countries citing papers authored by Makoto Ariyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Ariyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Ariyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ariyoshi. A scholar is included among the top collaborators of Makoto Ariyoshi 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 Makoto Ariyoshi. Makoto Ariyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 10
3 10
4 19
5 7
6 5
7 129
8 81
9 20
10 190
11 53
12
Cytosolic p53 inhibits Parkin-mediated mitophagy and promotes mitochondrial dysfunction in the mouse heartbreakdown →
443
13 16
14 139
15 79
16 1
17 12
18 13
19 8
20 6

About Makoto Ariyoshi

Makoto Ariyoshi is a scholar working on Internal Medicine, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Geriatrics and Gerontology (60 citations), Physiology (64 citations) and Cardiology and Cardiovascular Medicine (317 citations). Makoto Ariyoshi has collaborated with scholars based in Japan, Greece and Germany. Frequent co-authors include Satoaki Matoba, Atsushi Hoshino, Yoshifumi Okawa, Eri Iwai‐Kanai, Koji Ikeda, Tomomi Ueyama, Takehiro Ogata, Yuichiro Mita, Satoshi Kaimoto and Motoki Uchihashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Analytical Biochemistry.

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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