Mayuko Higashida

857 total citations
9 papers, 685 citations indexed

About

Mayuko Higashida is a scholar working on Immunology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mayuko Higashida has authored 9 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mayuko Higashida's work include Cardiovascular Disease and Adiposity (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Mayuko Higashida is often cited by papers focused on Cardiovascular Disease and Adiposity (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Mayuko Higashida collaborates with scholars based in Japan. Mayuko Higashida's co-authors include Hirotsugu Kurobe, Masataka Sata, Tetsuya Kitagawa, Yoichiro Hirata, Masashi Akaike, Yutaka Nakaya, Chika Nishio, Takashi Igarashi, Shuichiro Takanashi and Hiroaki Mikasa and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Endocrinology.

In The Last Decade

Mayuko Higashida

9 papers receiving 674 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mayuko Higashida Japan 9 411 288 151 138 127 9 685
Judith J. de Haan Netherlands 9 254 0.6× 130 0.5× 140 0.9× 59 0.4× 343 2.7× 12 640
Shiping Cao China 15 197 0.5× 109 0.4× 63 0.4× 89 0.6× 224 1.8× 28 593
Ilonka Rohm Germany 15 283 0.7× 79 0.3× 192 1.3× 95 0.7× 135 1.1× 31 654
Bonnie Neltner United States 9 433 1.1× 262 0.9× 88 0.6× 158 1.1× 128 1.0× 14 714
Shigefumi Nakamura Japan 13 125 0.3× 345 1.2× 56 0.4× 118 0.9× 307 2.4× 15 762
Takanori Hayasaki Japan 12 245 0.6× 128 0.4× 142 0.9× 45 0.3× 200 1.6× 23 650
Maja‐Theresa Dieterlen Germany 14 154 0.4× 144 0.5× 80 0.5× 69 0.5× 162 1.3× 65 531
Jane F. Arthur Australia 15 230 0.6× 131 0.5× 91 0.6× 38 0.3× 154 1.2× 27 678
William E. Stansfield United States 14 280 0.7× 113 0.4× 72 0.5× 86 0.6× 386 3.0× 27 707
Т. Е. Суслова Russia 9 261 0.6× 107 0.4× 121 0.8× 72 0.5× 141 1.1× 87 491

Countries citing papers authored by Mayuko Higashida

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Higashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayuko Higashida

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

All Works

9 of 9 papers shown
1.
Hirata, Yoichiro, Hirotsugu Kurobe, Mayuko Higashida, et al.. (2013). HMGB1 plays a critical role in vascular inflammation and lesion formation via toll-like receptor 9. Atherosclerosis. 231(2). 227–233. 64 indexed citations
2.
Nakayama, Taisuke, Hirotsugu Kurobe, Hajime Kinoshita, et al.. (2013). Role of macrophage-derived hypoxia-inducible factor (HIF)-1α as a mediator of vascular remodelling. Cardiovascular Research. 99(4). 705–715. 45 indexed citations
3.
Kurobe, Hirotsugu, Yoichiro Hirata, Yuki Matsuoka, et al.. (2013). Protective effects of selective mineralocorticoid receptor antagonist against aortic aneurysm progression in a novel murine model. Journal of Surgical Research. 185(1). 455–462. 22 indexed citations
4.
Tomita, Shuhei, Hirotsugu Kurobe, Yoshitaka Kihira, et al.. (2012). Systemic Preconditioning by a Prolyl Hydroxylase Inhibitor Promotes Prevention of Skin Flap Necrosis via HIF-1-Induced Bone Marrow-Derived Cells. PLoS ONE. 7(8). e42964–e42964. 34 indexed citations
5.
Kurobe, Hirotsugu, Ken‐ichi Aihara, Mayuko Higashida, et al.. (2011). Ezetimibe Monotherapy Ameliorates Vascular Function in Patients with Hypercholesterolemia Through Decreasing Oxidative Stress. Journal of Atherosclerosis and Thrombosis. 18(12). 1080–1089. 30 indexed citations
6.
Hirata, Yoichiro, Minoru Tabata, Hirotsugu Kurobe, et al.. (2011). Coronary Atherosclerosis Is Associated With Macrophage Polarization in Epicardial Adipose Tissue. Journal of the American College of Cardiology. 58(3). 248–255. 324 indexed citations
7.
Hirata, Yoichiro, Hirotsugu Kurobe, Masashi Akaike, et al.. (2011). Enhanced Inflammation in Epicardial Fat in Patients With Coronary Artery Disease. International Heart Journal. 52(3). 139–142. 141 indexed citations
8.
Seiki, Kanji, et al.. (1968). RADIOACTIVITY IN THE RAT HYPOTHALAMUS AND PITUITARY AFTER INJECTION OF LABELLED PROGESTERONE. Journal of Endocrinology. 41(1). 109–110. 16 indexed citations
9.
Kotani, M, et al.. (1968). Demonstration of Thyroglobulin in Dog Lymph. Endocrinology. 82(5). 1047–1049. 9 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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