Takehiro Ogata

86 papers receiving 2.9k citations

Takehiro Ogata's Hit Papers

Cytosolic p53 inhibits Parkin-mediated mitophagy and promotes mitochondrial dysfunction in the mouse heart 2013 · 471 citations
4710+4+8Years since publication100200300400

Peers

Takehiro Ogata
Comparison fields: 5 of 114
  • Environmental Chemistry 299
  • Cardiology and Cardiovascular Medicine 597
  • Cell Biology 416
  • Molecular Biology 1.3k
  • Biophysics 108
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Countries citing papers authored by Takehiro Ogata

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Ogata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takehiro Ogata, 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 Takehiro Ogata Line = papers co-authored together Takehiro Ogata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 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 →
2013471
2 2014200
3 2008186
4 2004150
5 1987140
6 2017140
7 2004109
8 2002106
9 2008100
10 198983
11 200874
12 198568
13 200859
14 201457
15 200253
16 201053
17 201348
18 200847
19 200544
20 201143

About Takehiro Ogata

Takehiro Ogata is a scholar working on Cell Biology, Cardiology and Cardiovascular Medicine, Environmental Chemistry, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 3.0k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (11 papers), Marine Toxins and Detection Methods (9 papers), Pulmonary Hypertension Research and Treatments (6 papers), Adipose Tissue and Metabolism (6 papers), Cardiovascular Function and Risk Factors (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Aortic aneurysm repair treatments (5 papers) and Cardiovascular Disease and Adiposity (5 papers). The work is most often cited by research in Environmental Chemistry (299 citations), Cardiology and Cardiovascular Medicine (597 citations), Cell Biology (416 citations), Molecular Biology (1.3k citations) and Biophysics (108 citations). Takehiro Ogata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tomomi Ueyama, Satoaki Matoba, Masaaki Kodama, Koji Ikeda, Makoto Ariyoshi, Atsushi Hoshino, Yoshifumi Okawa, Eri Iwai‐Kanai, Takashi Miyauchi and Yoko Irukayama‐Tomobe. Their work appears in journals such as Biochemical and Biophysical Research Communications, Marine Ecology Progress Series, Cells, American Journal of Physiology-Heart and Circulatory Physiology and European Heart Journal.

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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