J Higaki
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology
- Surgery
- Co-authors
- Toshio OgiharaHiromi RakugiAtsunori OkamuraTakehide OgiharaShin TakiuchiKaeko IiyamaTomohiro KatsuyaMasahiro Nagano
- Topics
- Renin-Angiotensin System Studies (9 papers)Hormonal Regulation and Hypertension (6 papers)Liver Disease Diagnosis and Treatment (3 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
J Higaki
19 papers receiving 761 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 501
- Endocrinology, Diabetes and Metabolism 309
- Molecular Biology 163
- Physiology 129
- Surgery 103
Countries citing papers authored by J Higaki
This map shows the geographic impact of J Higaki'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 J Higaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Higaki more than expected).
Fields of papers citing papers by J Higaki
This network shows the impact of papers produced by J Higaki. 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 J Higaki. The network helps show where J Higaki may publish in the future.
Co-authorship network of co-authors of J Higaki
This figure shows the co-authorship network connecting the top 25 collaborators of J Higaki. A scholar is included among the top collaborators of J Higaki 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 J Higaki. J Higaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 91 | |
| 3 | 14 | |
| 4 | 56 | |
| 5 | Gene therapy as a potential treatment for restenosis and myocardial infarction. | 2 |
| 6 | 74 | |
| 7 | 61 | |
| 8 | 193 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | 139 | |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 29 | |
| 15 | Analysis of the apolipoprotein B3' hypervariable region in patients with essential hypertension. | 4 |
| 16 | [Renin gene analysis of familial Bartter's syndrome]. | 3 |
| 17 | 2 | |
| 18 | 14 | |
| 19 | A new sensitive direct radioimmunoassay for human plasma renin and its clinical application. | 13 |
About J Higaki
J Higaki is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 19 papers that have together received 789 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (9 papers), Hormonal Regulation and Hypertension (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (501 citations), Endocrinology, Diabetes and Metabolism (309 citations) and Pharmacology (88 citations). J Higaki has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Toshio Ogihara, Hiromi Rakugi, Atsunori Okamura, Takehide Ogihara, Shin Takiuchi, Kaeko Iiyama, Tomohiro Katsuya, Masahiro Nagano, Koichi Moriguchi and Paul Fennessy. Their work appears in journals such as Biochemical and Biophysical Research Communications, Hypertension and Thorax.
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.