Jason K. Higa

1.1k total citations · 1 hit paper
18 papers, 841 citations indexed

About

Jason K. Higa is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Jason K. Higa has authored 18 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Jason K. Higa's work include Ferroptosis and cancer prognosis (5 papers), Trace Elements in Health (3 papers) and Iron Metabolism and Disorders (3 papers). Jason K. Higa is often cited by papers focused on Ferroptosis and cancer prognosis (5 papers), Trace Elements in Health (3 papers) and Iron Metabolism and Disorders (3 papers). Jason K. Higa collaborates with scholars based in United States, Japan and Slovakia. Jason K. Higa's co-authors include Takashi Matsui, Yuichi Baba, Tomohiro Suhara, Motoi Kobayashi, Briana K. Shimada, Nicholas K. Kawasaki, Hiroaki Kitaoka, Jun Panee, Joseph A. Hill and Paras K. Mishra and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jason K. Higa

18 papers receiving 834 citations

Hit Papers

Protective effects of the mechanistic target of rapamycin... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason K. Higa United States 12 479 329 270 117 98 18 841
Dulguun Amgalan United States 7 549 1.1× 168 0.5× 175 0.6× 182 1.6× 129 1.3× 9 858
Jianning Zhang China 18 647 1.4× 166 0.5× 185 0.7× 53 0.5× 49 0.5× 34 985
Zeqi Zheng China 17 381 0.8× 102 0.3× 158 0.6× 191 1.6× 89 0.9× 48 786
Siwei Tan China 19 513 1.1× 321 1.0× 315 1.2× 21 0.2× 227 2.3× 42 1.1k
Longjiang Shao United States 16 405 0.8× 196 0.6× 199 0.7× 22 0.2× 63 0.6× 24 834
Krista P. Terracina United States 13 536 1.1× 105 0.3× 119 0.4× 55 0.5× 78 0.8× 21 992
Shilei Zhao China 19 447 0.9× 122 0.4× 155 0.6× 48 0.4× 45 0.5× 52 776
Xuan Fang China 15 455 0.9× 146 0.4× 237 0.9× 51 0.4× 101 1.0× 42 781
Sijia Liang China 15 430 0.9× 96 0.3× 180 0.7× 67 0.6× 97 1.0× 32 754
Yi Shen China 19 551 1.2× 98 0.3× 307 1.1× 46 0.4× 44 0.4× 41 931

Countries citing papers authored by Jason K. Higa

Since Specialization
Citations

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

Fields of papers citing papers by Jason K. Higa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason K. Higa. 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 Jason K. Higa. The network helps show where Jason K. Higa may publish in the future.

Co-authorship network of co-authors of Jason K. Higa

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

All Works

18 of 18 papers shown
1.
Kawasaki, Nicholas K., Tomohiro Suhara, Kyoko Komai, et al.. (2023). The role of ferroptosis in cell-to-cell propagation of cell death initiated from focal injury in cardiomyocytes. Life Sciences. 332. 122113–122113. 9 indexed citations
2.
Komai, Kyoko, Nicholas K. Kawasaki, Jason K. Higa, & Takashi Matsui. (2022). The Role of Ferroptosis in Adverse Left Ventricular Remodeling Following Acute Myocardial Infarction. Cells. 11(9). 1399–1399. 32 indexed citations
3.
Shimada, Briana K., Jason K. Higa, Yuichi Baba, et al.. (2021). mTOR‐mediated calcium transients affect cardiac function in ex vivo ischemia–reperfusion injury. Physiological Reports. 9(6). e14807–e14807. 4 indexed citations
4.
Baba, Yuichi, et al.. (2019). The effects of Tel2 on cardiomyocyte survival. Life Sciences. 232. 116665–116665. 1 indexed citations
5.
Mishra, Paras K., Adriana Adameová, Joseph A. Hill, et al.. (2019). Guidelines for evaluating myocardial cell death. American Journal of Physiology-Heart and Circulatory Physiology. 317(5). H891–H922. 178 indexed citations
6.
Kobayashi, Motoi, Tomohiro Suhara, Yuichi Baba, et al.. (2018). Pathological Roles of Iron in Cardiovascular Disease. Current Drug Targets. 19(9). 1068–1076. 125 indexed citations
7.
Suhara, Tomohiro, Yuichi Baba, Briana K. Shimada, Jason K. Higa, & Takashi Matsui. (2017). The mTOR Signaling Pathway in Myocardial Dysfunction in Type 2 Diabetes Mellitus. Current Diabetes Reports. 17(6). 38–38. 58 indexed citations
8.
Johnson, Caroline H., Antonio F. Santidrián, Sarah E. LeBoeuf, et al.. (2017). Metabolomics guided pathway analysis reveals link between cancer metastasis, cholesterol sulfate, and phospholipids. SHILAP Revista de lepidopterología. 5(1). 9–9. 21 indexed citations
9.
Baba, Yuichi, et al.. (2017). Protective Effects of mTOR Against Ferroptosis, a Form of Iron‐dependent Regulated Cell Death, in Cardiomyocytes. The FASEB Journal. 31(S1). 2 indexed citations
10.
Baba, Yuichi, Jason K. Higa, Briana K. Shimada, et al.. (2017). Protective effects of the mechanistic target of rapamycin against excess iron and ferroptosis in cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 314(3). H659–H668. 288 indexed citations breakdown →
11.
Matsui, Takashi, et al.. (2016). Isolated Cardiomyocytes from Transgenic Mouse Hearts Show Tissue-specific mTOR Overexpression. Digital Scholarship - UNLV (University of Nevada Reno). 9(5). 41. 1 indexed citations
12.
Arensburger, Peter, et al.. (2015). Behavioral and genomic characterization of molt-sleep in the tobacco hornworm, Manduca sexta. Insect Biochemistry and Molecular Biology. 62. 154–167. 12 indexed citations
13.
Aoyagi, Toshinori, et al.. (2015). Cardiac mTOR rescues the detrimental effects of diet-induced obesity in the heart after ischemia-reperfusion. American Journal of Physiology-Heart and Circulatory Physiology. 308(12). H1530–H1539. 35 indexed citations
14.
Kusakari, Yoichiro, Jason K. Higa, Chunyang Xiao, et al.. (2014). Three-dimensional myocardial scarring along myofibers after coronary ischemia-reperfusion revealed by computerized images of histological assays. Physiological Reports. 2(7). e12072–e12072. 4 indexed citations
15.
Arora, Komal, Naghum Alfulaij, Jason K. Higa, Jun Panee, & Robert A. Nichols. (2013). Impact of Sustained Exposure to β-Amyloid on Calcium Homeostasis and Neuronal Integrity in Model Nerve Cell System Expressing α4β2 Nicotinic Acetylcholine Receptors. Journal of Biological Chemistry. 288(16). 11175–11190. 23 indexed citations
16.
Higa, Jason K., Zhibin Liang, Philip G. Williams, & Jun Panee. (2012). Phyllostachys edulis Compounds Inhibit Palmitic Acid-Induced Monocyte Chemoattractant Protein 1 (MCP-1) Production. PLoS ONE. 7(9). e45082–e45082. 16 indexed citations
17.
Higa, Jason K., Wanyu Liu, Marla J. Berry, & Jun Panee. (2011). Supplement of bamboo extract lowers serum monocyte chemoattractant protein-1 concentration in mice fed a diet containing a high level of saturated fat. British Journal Of Nutrition. 106(12). 1810–1813. 12 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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