T Okura

631 total citations
22 papers, 515 citations indexed

About

T Okura is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, T Okura has authored 22 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in T Okura's work include Blood Pressure and Hypertension Studies (4 papers), Renal and Vascular Pathologies (4 papers) and Hormonal Regulation and Hypertension (4 papers). T Okura is often cited by papers focused on Blood Pressure and Hypertension Studies (4 papers), Renal and Vascular Pathologies (4 papers) and Hormonal Regulation and Hypertension (4 papers). T Okura collaborates with scholars based in Japan and United States. T Okura's co-authors include Lei Gong, Ichiro Okura, E T Yeh, Hui‐Ming Chang, Wei Chen, Tetsu Kamitani, Takuro Wada, Yutaka Kitami, Jitsuo Higaki and Seiko Manabe and has published in prestigious journals such as The Journal of Immunology, Journal of Internal Medicine and Journal of Hypertension.

In The Last Decade

T Okura

17 papers receiving 506 citations

Peers

T Okura
Comparison fields: 5 of 61
  • Molecular Biology 262
  • Cardiology and Cardiovascular Medicine 158
  • Endocrinology, Diabetes and Metabolism 83
  • Oncology 81
  • Immunology 73
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Naveen K Somanna United States View profile →
Citations per field, relative to T Okura
T Okura · 1×
Citations per year, relative to T Okura
T Okura · 1×

Countries citing papers authored by T Okura

Since Specialization
Citations

This map shows the geographic impact of T Okura'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 T Okura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Okura more than expected).

Fields of papers citing papers by T Okura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Okura

This figure shows the co-authorship network connecting the top 25 collaborators of T Okura. A scholar is included among the top collaborators of T Okura 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 T Okura. T Okura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 12
5 11
6 35
7 33
8 1
9 47
10 0
11 0
12 35
13 280
14 2
15
Restriction fragment length polymorphisms of the human renin gene: association study with a family history of essential hypertension.
25
16
Renin gene restriction fragment length polymorphisms in a Japanese family with a high incidence of essential hypertension.
9
17
Regulation of the gene expression of type-1 angiotensin II receptor in spontaneously hypertensive rats.
7
18
Renal and extra-renal renin gene expression in spontaneously hypertensive rats.
8
19
Effect of renal denervation on the development of hypertension in Dahl-Iwai salt-sensitive rats.
5
20
[Histopathological study of isolated hematuria].
1

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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