Izumi Senba

440 total citations
12 papers, 369 citations indexed

About

Izumi Senba is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Izumi Senba has authored 12 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Izumi Senba's work include Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (7 papers) and Receptor Mechanisms and Signaling (5 papers). Izumi Senba is often cited by papers focused on Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (7 papers) and Receptor Mechanisms and Signaling (5 papers). Izumi Senba collaborates with scholars based in Japan. Izumi Senba's co-authors include Masatsugu Horiuchi, Masaru Iwai, Harumi Kan‐no, Shinji Inaba, Masaki Mogi, Yumiko Tomono, Jitsuo Higaki, Hideki Okayama, Hirotomo Nakaoka and Midori Okumura and has published in prestigious journals such as Stroke, Biochemical and Biophysical Research Communications and Hypertension.

In The Last Decade

Izumi Senba

12 papers receiving 361 citations

Peers

Izumi Senba
Izumi Senba
Citations per year, relative to Izumi Senba Izumi Senba (= 1×) peers Yumiko Tomono

Countries citing papers authored by Izumi Senba

Since Specialization
Citations

This map shows the geographic impact of Izumi Senba'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 Izumi Senba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Izumi Senba more than expected).

Fields of papers citing papers by Izumi Senba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Izumi Senba

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

All Works

12 of 12 papers shown
2.
Iwai, Masaru, et al.. (2011). Irbesartan increased PPARγ activity in vivo in white adipose tissue of atherosclerotic mice and improved adipose tissue dysfunction. Biochemical and Biophysical Research Communications. 406(1). 123–126. 20 indexed citations
3.
Inaba, Shinji, Masaru Iwai, Harumi Kan‐no, et al.. (2011). Temporary Treatment With AT1 Receptor Blocker, Valsartan, From Early Stage of Hypertension Prevented Vascular Remodeling. American Journal of Hypertension. 24(5). 550–556. 11 indexed citations
4.
Inaba, Shinji, Masaru Iwai, Harumi Kan‐no, et al.. (2011). Role of angiotensin-converting enzyme 2 in cardiac hypertrophy induced by nitric oxide synthase inhibition. Journal of Hypertension. 29(11). 2236–2245. 29 indexed citations
5.
Okumura, Midori, Masaru Iwai, Hirotomo Nakaoka, et al.. (2011). Possible involvement of AT2 receptor dysfunction in age-related gender difference in vascular remodeling. Journal of the American Society of Hypertension. 5(2). 76–84. 13 indexed citations
6.
Iwai, Masako, Hideaki Kanno, Shinji Inaba, et al.. (2010). Nifedipine, a Calcium-Channel Blocker, Attenuated Glucose Intolerance and White Adipose Tissue Dysfunction in Type 2 Diabetic KK-Ay Mice. American Journal of Hypertension. 24(2). 169–174. 15 indexed citations
7.
Iwai, Masaru, Harumi Kan‐no, Yumiko Tomono, et al.. (2010). Direct renin inhibition improved insulin resistance and adipose tissue dysfunction in type 2 diabetic KK-Ay mice. Journal of Hypertension. 28(7). 1471–1481. 40 indexed citations
8.
Kan‐no, Harumi, Masaru Iwai, Shinji Inaba, et al.. (2009). Improvement of glucose intolerance by combination of pravastatin and olmesartan in type II diabetic KK-Ay mice. Hypertension Research. 32(8). 706–711. 2 indexed citations
9.
Iwai, Masaru, Yumiko Tomono, Shinji Inaba, et al.. (2009). AT2 Receptor Deficiency Attenuates Adipocyte Differentiation and Decreases Adipocyte Number in Atherosclerotic Mice. American Journal of Hypertension. 22(7). 784–791. 38 indexed citations
10.
Inaba, Shinji, Masaru Iwai, Yumiko Tomono, et al.. (2008). Prevention of Vascular Injury by Combination of an AT1 Receptor Blocker, Olmesartan, With Various Calcium Antagonists. American Journal of Hypertension. 22(2). 145–150. 23 indexed citations
11.
Inaba, Shinji, Masaru Iwai, Yumiko Tomono, et al.. (2008). Exaggeration of Focal Cerebral Ischemia in Transgenic Mice Carrying Human Renin and Human Angiotensinogen Genes. Stroke. 40(2). 597–603. 46 indexed citations
12.
Inaba, Shinji, Masaru Iwai, Yumiko Tomono, et al.. (2008). Continuous Activation of Renin-Angiotensin System Impairs Cognitive Function in Renin/Angiotensinogen Transgenic Mice. Hypertension. 53(2). 356–362. 95 indexed citations

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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