Mai Kimura

1.2k total citations
47 papers, 756 citations indexed

About

Mai Kimura is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Mai Kimura has authored 47 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 18 papers in Pulmonary and Respiratory Medicine and 9 papers in Molecular Biology. Recurrent topics in Mai Kimura's work include Pulmonary Hypertension Research and Treatments (14 papers), Cardiovascular Function and Risk Factors (9 papers) and Cardiac Imaging and Diagnostics (7 papers). Mai Kimura is often cited by papers focused on Pulmonary Hypertension Research and Treatments (14 papers), Cardiovascular Function and Risk Factors (9 papers) and Cardiac Imaging and Diagnostics (7 papers). Mai Kimura collaborates with scholars based in Japan, United States and Netherlands. Mai Kimura's co-authors include Keiichi Fukuda, Gozoh Tsujimoto, Susumu Katsuma, Akira Hirasawa, Yoshinao Ruike, Hiroshi Kobayashi, Noriyuki Hatae, Shogo Imanaka, Shinsuke Yuasa and Dai Kusumoto and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Mai Kimura

45 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mai Kimura Japan 13 243 162 119 111 103 47 756
Yan Long China 21 558 2.3× 66 0.4× 86 0.7× 72 0.6× 203 2.0× 79 1.4k
Hui Zhu China 19 184 0.8× 57 0.4× 253 2.1× 27 0.2× 243 2.4× 72 1.3k
Ying Shao China 15 251 1.0× 105 0.6× 34 0.3× 22 0.2× 91 0.9× 36 819
Eran Sharon Israel 19 170 0.7× 62 0.4× 100 0.8× 39 0.4× 211 2.0× 60 1.5k
Ken Asada Japan 22 521 2.1× 207 1.3× 112 0.9× 22 0.2× 44 0.4× 44 1.3k
Kun Huang China 19 511 2.1× 103 0.6× 39 0.3× 45 0.4× 67 0.7× 39 1.1k
Yanbo Xu China 13 352 1.4× 41 0.3× 73 0.6× 28 0.3× 36 0.3× 46 970
Xing Zheng China 18 151 0.6× 160 1.0× 129 1.1× 13 0.1× 183 1.8× 50 844
Guorong Lv China 13 143 0.6× 66 0.4× 48 0.4× 13 0.1× 96 0.9× 47 509

Countries citing papers authored by Mai Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Mai Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Kimura. A scholar is included among the top collaborators of Mai Kimura 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 Mai Kimura. Mai Kimura 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
1.
Kusumoto, Dai, Mai Kimura, Takahiro Nakamura, et al.. (2025). Inhibition of Scarb1 on Endothelial Cells Attenuates Pressure Overload-Induced Heart Failure Progression. JACC Basic to Translational Science. 10(10). 101308–101308.
2.
Kusumoto, Dai, Takumi Akiyama, Masahiro Hashimoto, et al.. (2024). A deep learning-based automated diagnosis system for SPECT myocardial perfusion imaging. Scientific Reports. 14(1). 13583–13583. 8 indexed citations
3.
Hashimoto, Hiroko, Shintaro Mandai, Mai Kimura, et al.. (2023). The Effect of Antihypertensive Therapy on Skeletal Muscle Mass and Bone Mineral Density in Patients With End-Stage Kidney Disease. Journal of Renal Nutrition. 34(3). 223–234. 7 indexed citations
4.
Seki, Tomohisa, Dai Kusumoto, Hisayuki Hashimoto, et al.. (2022). Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning. Biochemical and Biophysical Research Communications. 632. 181–188. 5 indexed citations
5.
Imanaka, Shogo, et al.. (2021). Nonhormonal Treatment for Endometriosis Focusing on Redox Imbalance. Gynecologic and Obstetric Investigation. 86(1-2). 1–12. 12 indexed citations
6.
Kusumoto, Dai, Tomohisa Seki, Akira Kunitomi, et al.. (2021). Anti-senescent drug screening by deep learning-based morphology senescence scoring. Nature Communications. 12(1). 257–257. 89 indexed citations
7.
Imanaka, Shogo, et al.. (2021). Relationship between Cyst Fluid Concentrations of Iron and Severity of Dysmenorrhea in Patients with Ovarian Endometrioma. Gynecologic and Obstetric Investigation. 86(1-2). 185–192. 11 indexed citations
8.
Murata, Mitsushige, Takashi Kawakami, Masaharu Kataoka, et al.. (2020). Clinical Significance of Guanylate Cyclase Stimulator, Riociguat, on Right Ventricular Functional Improvement in Patients with Pulmonary Hypertension. Cardiology. 146(1). 130–136. 8 indexed citations
9.
Kimura, Mai, Takashi Kohno, Mitsuaki Sawano, et al.. (2020). Independent and cumulative association of clinical and morphological heart failure with long-term outcome after percutaneous coronary intervention. Journal of Cardiology. 77(1). 41–47. 3 indexed citations
10.
Kobayashi, Hiroshi, et al.. (2020). Revisiting estrogen-dependent signaling pathways in endometriosis: Potential targets for non-hormonal therapeutics. European Journal of Obstetrics & Gynecology and Reproductive Biology. 258. 103–110. 26 indexed citations
11.
Imanaka, Shogo, et al.. (2020). Relationship between adenomyosis and endometriosis; Different phenotypes of a single disease?. European Journal of Obstetrics & Gynecology and Reproductive Biology. 253. 191–197. 50 indexed citations
12.
Kitakata, Hiroki, Yuji Itabashi, Hideaki Kanazawa, et al.. (2020). Appropriate device selection for transcatheter atrial septal defect closure using three-dimensional transesophageal echocardiography. International journal of cardiac imaging. 37(4). 1159–1168. 2 indexed citations
13.
Kohno, Takashi, Takashi Kawakami, Masaharu Kataoka, et al.. (2019). Balloon pulmonary angioplasty attenuates sleep apnea in patients with chronic thromboembolic pulmonary hypertension. Heart & Lung. 48(4). 321–324. 3 indexed citations
14.
Ji, Yonghoon, Yusuke Tanaka, Yusuke Tamura, et al.. (2018). Adaptive Motion Planning Based on Vehicle Characteristics and Regulations for Off-Road UGVs. IEEE Transactions on Industrial Informatics. 15(1). 599–611. 31 indexed citations
15.
Kusumoto, Dai, Mark Lachmann, Shinsuke Yuasa, et al.. (2018). Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells. Stem Cell Reports. 10(6). 1687–1695. 69 indexed citations
16.
Moriyama, Hidenori, Mitsushige Murata, Toshimitsu Tsugu, et al.. (2017). The clinical value of assessing right ventricular diastolic function after balloon pulmonary angioplasty in patients with chronic thromboembolic pulmonary hypertension. International journal of cardiac imaging. 34(6). 875–882. 14 indexed citations
17.
Kimura, Mai, Takashi Kohno, Takashi Kawakami, et al.. (2016). Midterm Effect of Balloon Pulmonary Angioplasty on Hemodynamics and Subclinical Myocardial Damage in Chronic Thromboembolic Pulmonary Hypertension. Canadian Journal of Cardiology. 33(4). 463–470. 17 indexed citations
18.
Yashima, Fumiaki, Shinsuke Yuasa, Yuichiro Maekawa, et al.. (2015). In-Stent Dissection Causes No Flow During Percutaneous Coronary Intervention. JACC: Cardiovascular Interventions. 9(1). 102–103.
19.
Yanagisawa, Ryoji, Masaharu Kataoka, Takumi Inami, et al.. (2015). Usefulness of Circulating Amino Acid Profile and Fischer Ratio to Predict Severity of Pulmonary Hypertension. The American Journal of Cardiology. 115(6). 831–836. 13 indexed citations
20.
Katsuma, Susumu, Noriyuki Hatae, Yoshinao Ruike, et al.. (2005). Free Fatty Acids Inhibit Serum Deprivation-induced Apoptosis through GPR120 in a Murine Enteroendocrine Cell Line STC-1. Journal of Biological Chemistry. 280(20). 19507–19515. 156 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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