Yoji Machida

541 total citations
14 papers, 444 citations indexed

About

Yoji Machida is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Yoji Machida has authored 14 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Yoji Machida's work include Cardiac Fibrosis and Remodeling (6 papers), Viral Infections and Immunology Research (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). Yoji Machida is often cited by papers focused on Cardiac Fibrosis and Remodeling (6 papers), Viral Infections and Immunology Research (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). Yoji Machida collaborates with scholars based in Japan and United States. Yoji Machida's co-authors include Tohru Izumi, Taiki Tojo, Minako Yamaoka‐Tojo, Yuki Yoshida, Hiroyuki Tsutsui, Natsumi Kawamura, Arthur M. Feldman, Hiroaki Shimokawa, Akira Takeshita and Toru Kubota and has published in prestigious journals such as Circulation, Circulation Research and Life Sciences.

In The Last Decade

Yoji Machida

14 papers receiving 441 citations

Peers

Yoji Machida
Maki Katamura Japan
Sumit Kar United States
Jason M. Tanner United States
Amar Kapoor United Kingdom
Kimberly Hewitt Australia
Yongzheng Guo China
Shujian Wei China
Hidetoshi Okazaki Japan
Kyosuke Kazama Japan
Nunzia Carusio France
Maki Katamura Japan
Yoji Machida
Citations per year, relative to Yoji Machida Yoji Machida (= 1×) peers Maki Katamura

Countries citing papers authored by Yoji Machida

Since Specialization
Citations

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

Fields of papers citing papers by Yoji Machida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoji Machida

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

All Works

14 of 14 papers shown
1.
Kameda, Ryo, Minako Yamaoka‐Tojo, Lisa Kitasato, et al.. (2013). Soluble Fms-like Tyrosine Kinase 1 Is a Novel Predictor of Brain Natriuretic Peptide Elevation. International Heart Journal. 54(3). 133–139. 8 indexed citations
2.
Niizuma, Shinichiro, Yasutaka Inuzuka, Junji Okuda, et al.. (2012). Effect of persistent activation of phosphoinositide 3-kinase on heart. Life Sciences. 90(15-16). 619–628. 9 indexed citations
3.
4.
Yamaoka‐Tojo, Minako, Taiki Tojo, Yuki Yoshida, et al.. (2009). Effects of ezetimibe add-on therapy for high-risk patients with dyslipidemia. Lipids in Health and Disease. 8(1). 41–41. 27 indexed citations
5.
Inuzuka, Yasutaka, Junji Okuda, Tsuneaki Kawashima, et al.. (2009). Suppression of Phosphoinositide 3-Kinase Prevents Cardiac Aging in Mice. Circulation. 120(17). 1695–1703. 110 indexed citations
6.
Shioi, Tetsuo, et al.. (2006). Angiotensin II Receptor Antagonist Attenuates Expression of Aging Markers in Diabetic Mouse Heart. Circulation Journal. 70(4). 482–488. 25 indexed citations
7.
Shioi, Tetsuo, et al.. (2005). Rapamycin Ameliorates Experimental Autoimmune Myocarditis. International Heart Journal. 46(3). 513–530. 21 indexed citations
8.
9.
Machida, Yoji, Toru Kubota, Natsumi Kawamura, et al.. (2003). Overexpression of tumor necrosis factor-α increases production of hydroxyl radical in murine myocardium. American Journal of Physiology-Heart and Circulatory Physiology. 284(2). H449–H455. 38 indexed citations
10.
Funakoshi, Hajime, Toru Kubota, Yoji Machida, et al.. (2002). Involvement of inducible nitric oxide synthase in cardiac dysfunction with tumor necrosis factor-α. American Journal of Physiology-Heart and Circulatory Physiology. 282(6). H2159–H2166. 38 indexed citations
11.
Yamaoka‐Tojo, Minako, et al.. (2002). Circulating levels of interleukin 18 reflect etiologies of heart failure: Th1/Th2 cytokine imbalance exaggerates the pathophysiology of advanced heart failure. Journal of Cardiac Failure. 8(1). 21–27. 55 indexed citations
12.
Funakoshi, Hajime, Toru Kubota, Natsumi Kawamura, et al.. (2002). Disruption of Inducible Nitric Oxide Synthase Improves β-Adrenergic Inotropic Responsiveness but Not the Survival of Mice With Cytokine-Induced Cardiomyopathy. Circulation Research. 90(9). 959–965. 50 indexed citations
13.
14.
Takehana, Hitoshi, Takayuki Inomata, Hiroe Niwano, et al.. (2002). Immunomodulatory Effect of Pentoxifylline in Suppressing Experimental Autoimmune Myocarditis.. Circulation Journal. 66(5). 499–504. 17 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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