Naoki Oka

26 papers receiving 901 citations

Peers

Naoki Oka
Comparison fields: 5 of 83
  • Cell Biology 374
  • Cardiology and Cardiovascular Medicine 276
  • Aging 15
  • Molecular Biology 556
  • Endocrine and Autonomic Systems 51
Replace Alexander S. Khromov with:
Alexander S. Khromov United States
Jocelyne Blanc France
Giulio Selvetella Italy
Carsten Schwencke Germany
Cameron S. McAlpine United States
Manuela Moriggi Italy
Agnese Viganò Italy
Chintan K. Kikani United States
Michele Vasso Italy
G L Engelmann United States
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Citations per field
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Alexander S. Khromov · 1×
Citations per year

Countries citing papers authored by Naoki Oka

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Oka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997229
2 2003110
3 199798
4 200792
5 199788
6 199653
7 200343
8 200138
9 200528
10 200527
11 200625
12 199924
13 200818
14 199712
15 19968
16 19978
17 20035
18 20175
19 20184
20 20101

About Naoki Oka

Naoki Oka is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 922 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (8 papers), Coronary Interventions and Diagnostics (5 papers), Cardiomyopathy and Myosin Studies (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Ion Transport and Channel Regulation (3 papers), Signaling Pathways in Disease (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Cell Biology (374 citations), Cardiology and Cardiovascular Medicine (276 citations), Aging (15 citations), Molecular Biology (556 citations) and Endocrine and Autonomic Systems (51 citations). Naoki Oka has collaborated with scholars based in Japan, United States and Belarus. Frequent co-authors include Yoshihiro Ishikawa, Carsten Schwencke, Tsutomu Imaizumi, Toshiaki Ebina, Jun-ichi Kawabe, Manabu Yamamoto, Shigeo Ohno, Jacques Couët, Michael P. Lisanti and Yoshiyuki Toya. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Journal of the American College of Cardiology, FEBS Letters, Journal of Biological Chemistry and American Journal of Physiology-Cell Physiology.

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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