Hideshi Okada
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Surgery top 10%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- Genzou TakemuraShinya MinatoguchiHisayoshi FujiwaraRumi MaruyamaTakako FujiwaraShusaku MiyataHiromitsu KanamoriMasayasu Esaki
- Topics
- Cardiac Fibrosis and Remodeling (16 papers)Signaling Pathways in Disease (11 papers)Trauma, Hemostasis, Coagulopathy, Resuscitation (10 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hideshi Okada
105 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 128
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 943
- Surgery 531
- Epidemiology 466
- Oncology 263
Countries citing papers authored by Hideshi Okada
This map shows the geographic impact of Hideshi Okada'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 Hideshi Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideshi Okada more than expected).
Fields of papers citing papers by Hideshi Okada
This network shows the impact of papers produced by Hideshi Okada. 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 Hideshi Okada. The network helps show where Hideshi Okada may publish in the future.
Co-authorship network of co-authors of Hideshi Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Hideshi Okada. A scholar is included among the top collaborators of Hideshi Okada 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 Hideshi Okada. Hideshi Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 44 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | Expression of prorenin receptor in renal biopsies from patients with IgA nephropathy. | 8 |
| 18 | 27 | |
| 19 | PJ-158 Cationized Gelatin Delivery of a Plasmid Encoding Soluble Fas Mitigates Postinfarction Left Ventricular Remodeling(Acute myocardial infarction, basic-2, The 71st Annual Scientific Meeting of the Japanese Circulation Society) | 3 |
| 20 | 119 |
About Hideshi Okada
Hideshi Okada is a scholar working on Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 120 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (16 papers), Signaling Pathways in Disease (11 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Critical Care and Intensive Care Medicine (112 citations) and Physiology (68 citations). Hideshi Okada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Genzou Takemura, Shinya Minatoguchi, Hisayoshi Fujiwara, Rumi Maruyama, Takako Fujiwara, Shusaku Miyata, Hiromitsu Kanamori, Masayasu Esaki, Robert S. Ross and Ana Maria Manso. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.