Jun Okuda
- Endocrinology top 0.2%
- Molecular Biology top 10%
- Immunology top 5%
- Surgery top 5%
- Food Science top 2%
- Co-authors
- Ichitomo MiwaMitsuaki NishibuchiYung Bu KimChiho MatsumotoNaoki TakahashiSatoru HashimotoKazuhiro InagakiHisao Kurazono
- Topics
- Pancreatic function and diabetes (24 papers)Vibrio bacteria research studies (19 papers)Cardiac Imaging and Diagnostics (14 papers)
- Journals
- NatureScienceCirculation
In The Last Decade
Jun Okuda
137 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 125
- Endocrinology 1.1k
- Molecular Biology 912
- Immunology 892
- Surgery 575
- Food Science 474
Countries citing papers authored by Jun Okuda
This map shows the geographic impact of Jun Okuda'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 Jun Okuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Okuda more than expected).
Fields of papers citing papers by Jun Okuda
This network shows the impact of papers produced by Jun Okuda. 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 Jun Okuda. The network helps show where Jun Okuda may publish in the future.
Co-authorship network of co-authors of Jun Okuda
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Okuda. A scholar is included among the top collaborators of Jun Okuda 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 Jun Okuda. Jun Okuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | EFFECTS OF REMINISCENCE THERAPY USING NOSTALGIC SONGS ON THE COGNITIVE FUNCTION OF THE ELDERLY LIVING IN THE COMMUNITY | 1 |
| 3 | 3 | |
| 4 | 30 | |
| 5 | 13 | |
| 6 | 72 | |
| 7 | Effects of Pretreatment With Statins on Infarct Size in Patients With Acute Myocardial Infarction Who Receive Fibrinolytic Therapy(Ischemic Heart Disease) | 2 |
| 8 | PJ-683 Left Atrial Strain Rate Imaging can be Useful for the Evaluation of Thromboembolic Risk in Patients with Paroxysmal Atrial Fibrillation(PJ115,Thromboembolism/Antithrombotic Therapy/Thrombolysis (IHD),Poster Session (Japanese),The 73rd Annual Scientific Meeting of The Japanese Circulation Society) | 2 |
| 9 | 0 | |
| 10 | 62 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | D-Glucose anomeric preference of hexokinases in higher animals. | 14 |
About Jun Okuda
Jun Okuda is a scholar working on Endocrinology, Molecular Medicine and Biochemistry, having authored 145 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Vibrio bacteria research studies (19 papers) and Cardiac Imaging and Diagnostics (14 papers). The work is most often cited by research in Endocrinology (1.1k citations), Molecular Medicine (215 citations) and Immunology (892 citations). Jun Okuda has collaborated with scholars based in Japan, France and Greece. Frequent co-authors include Ichitomo Miwa, Mitsuaki Nishibuchi, Yung Bu Kim, Chiho Matsumoto, Naoki Takahashi, Satoru Hashimoto, Kazuhiro Inagaki, Hisao Kurazono, Kazuo Kimura and Yoshifumi Takeda. Their work appears in journals such as Nature, Science and Circulation.
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.