Hiroaki Ohkubo
- Molecular Biology top 1%
- Cardiology and Cardiovascular Medicine top 0.5%
- Physiology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Shigetada NakanishiHiroshi AraiIchiro AramoriSeiji HoriToru TakumiRyoichiro KageyamaIra PastanKazuhisa Nakayama
- Topics
- Receptor Mechanisms and Signaling (13 papers)RNA and protein synthesis mechanisms (10 papers)Renin-Angiotensin System Studies (9 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hiroaki Ohkubo
73 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 4.0k
- Cardiology and Cardiovascular Medicine 2.6k
- Physiology 2.1k
- Cellular and Molecular Neuroscience 1.2k
- Endocrinology, Diabetes and Metabolism 681
Countries citing papers authored by Hiroaki Ohkubo
This map shows the geographic impact of Hiroaki Ohkubo'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 Hiroaki Ohkubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Ohkubo more than expected).
Fields of papers citing papers by Hiroaki Ohkubo
This network shows the impact of papers produced by Hiroaki Ohkubo. 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 Hiroaki Ohkubo. The network helps show where Hiroaki Ohkubo may publish in the future.
Co-authorship network of co-authors of Hiroaki Ohkubo
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Ohkubo. A scholar is included among the top collaborators of Hiroaki Ohkubo 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 Hiroaki Ohkubo. Hiroaki Ohkubo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 265 | |
| 2 | 3 | |
| 3 | 16 | |
| 4 | 16 | |
| 5 | 42 | |
| 6 | Occurrence of synapsin I in mouse insulinoma MIN6 cells and implication in insulin secretion via phosphorylation by Ca2+/calmodulin-dependent protein kinase II | 2 |
| 7 | 39 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 85 | |
| 11 | 84 | |
| 12 | 27 | |
| 13 | 114 | |
| 14 | 0 | |
| 15 | 30 | |
| 16 | 56 | |
| 17 | 82 | |
| 18 | 15 | |
| 19 | 27 | |
| 20 | 54 |
About Hiroaki Ohkubo
Hiroaki Ohkubo is a scholar working on Metals and Alloys, Molecular Biology and Immunology and Allergy, having authored 75 papers that have together received 7.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), RNA and protein synthesis mechanisms (10 papers) and Renin-Angiotensin System Studies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.6k citations), Physiology (2.1k citations) and Cellular and Molecular Neuroscience (1.2k citations). Hiroaki Ohkubo has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shigetada Nakanishi, Hiroshi Arai, Shigetada Nakanishi, Ichiro Aramori, Seiji Hori, Toru Takumi, Ryoichiro Kageyama, Ira Pastan, Kazuhisa Nakayama and Benoît De Crombrugghe. Their work appears in journals such as Nature, Science and Cell.
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.