Mai Kimura

1.2k citations

47 papers · 756 indexed · h-index 13

Impact in

Reproductive Medicine top 5%
- Endometriosis Research and Treatment
Aging

Papers in ⓘ

Cardiology and Cardiovascular Medicine 25
- Cardiovascular Function and Risk Factors 9
- Heart Failure Treatment and Management 6
- Cardiovascular Issues in Pregnancy 4
Pulmonary and Respiratory Medicine 18
- Pulmonary Hypertension Research and Treatments 14
- Cardiovascular and Diving-Related Complications 5

Co-authors: Keiichi Fukuda (30 shared papers)Akira Hirasawa (2 shared papers)Gozoh Tsujimoto (2 shared papers)Yoshinao Ruike (2 shared papers)Susumu Katsuma (2 shared papers)Hiroshi Kobayashi (7 shared papers)Noriyuki Hatae (1 shared paper)Shogo Imanaka (6 shared papers)
Journals: Canadian Journal of Cardiology (4 papers)JACC: Cardiovascular Interventions (2 papers)European Journal of Obstetrics & Gynecology and Reproductive Biology (2 papers)Gynecologic and Obstetric Investigation (2 papers)Cardiology (2 papers)
Partner nations: Japan United States Poland

In The Last Decade

Mai Kimura

45 papers receiving 742 citations

Peers

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-authors

The 25 scholars most cited alongside Mai Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mai Kimura Line = papers co-authored together Mai Kimura links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Free Fatty Acids Inhibit Serum Deprivation-induced Apoptosis through GPR120 in a Murine Enteroendocrine Cell Line STC-1 Journal of Biological Chemistry ·Susumu Katsuma, Noriyuki Hatae, Takeaki Yano, Yoshinao Ruike, Mai Kimura, Akira Hirasawa, Gozoh Tsujimoto	2005	156
2	Anti-senescent drug screening by deep learning-based morphology senescence scoring Nature Communications ·Dai Kusumoto, Tomohisa Seki, Hiromune Sawada, Akira Kunitomi, Toshiomi Katsuki, Mai Kimura, Shogo Ito, Jin Komuro, Hisayuki Hashimoto, Keiichi Fukuda, Shinsuke Yuasa	2021	89
3	Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells Stem Cell Reports ·Dai Kusumoto, Mark Lachmann, Takeshi Kunihiro, Shinsuke Yuasa, Yoshikazu Kishino, Mai Kimura, Toshiomi Katsuki, Shogo Itoh, Tomohisa Seki, Keiichi Fukuda	2018	69
4	Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients PLoS ONE ·Shinichi Goto, Mai Kimura, Yoshinori Katsumata, Shinya Goto, Takashi Kamatani, Genki Ichihara, Seien Ko, Junichi Sasaki, Keiichi Fukuda, Motoaki Sano	2019	62
5	Relationship between adenomyosis and endometriosis; Different phenotypes of a single disease? European Journal of Obstetrics & Gynecology and Reproductive Biology ·Sachiyo Maruyama, Shogo Imanaka, Mika Nagayasu, Mai Kimura, Hiroshi Kobayashi	2020	50
6	Transcriptional regulation of connective tissue growth factor by sphingosine 1‐phosphate in rat cultured mesangial cells FEBS Letters ·Susumu Katsuma, Yoshinao Ruike, Takeaki Yano, Mai Kimura, Akira Hirasawa, Gozoh Tsujimoto	2005	35
7	Adaptive Motion Planning Based on Vehicle Characteristics and Regulations for Off-Road UGVs IEEE Transactions on Industrial Informatics ·Yonghoon Ji, Yusuke Tanaka, Yusuke Tamura, Mai Kimura, Atsushi Umemura, Yoshiharu Kaneshima, Hiroki Murakami, Atsushi Yamashita, Hajime Asama	2018	31
8	Revisiting estrogen-dependent signaling pathways in endometriosis: Potential targets for non-hormonal therapeutics European Journal of Obstetrics & Gynecology and Reproductive Biology ·Hiroshi Kobayashi, Mai Kimura, Sachiyo Maruyama, Mika Nagayasu, Shogo Imanaka	2020	26
9	Midterm Effect of Balloon Pulmonary Angioplasty on Hemodynamics and Subclinical Myocardial Damage in Chronic Thromboembolic Pulmonary Hypertension Canadian Journal of Cardiology ·Mai Kimura, Takashi Kohno, Takashi Kawakami, Masaharu Kataoka, Toshimitsu Tsugu, Keitaro Akita, Sarasa Isobe, Yuji Itabashi, Yuichiro Maekawa, Mitsushige Murata, Keiichi Fukuda	2016	17
10	Report of the American Heart Association (AHA) Scientific Sessions 2015, Orlando Circulation Journal ·Yoshiyasu Aizawa, Mai Kimura, Takashi Kohno, Jun Fujita, Keiichi Fukuda	2015	16
11	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 ·Hidenori Moriyama, Mitsushige Murata, Toshimitsu Tsugu, Takashi Kawakami, Masaharu Kataoka, Takahiro Hiraide, Mai Kimura, Sarasa Isobe, Jin Endo, Takashi Kohno, Yuji Itabashi, Keiichi Fukuda	2017	14
12	Usefulness of Circulating Amino Acid Profile and Fischer Ratio to Predict Severity of Pulmonary Hypertension The American Journal of Cardiology ·Ryoji Yanagisawa, Masaharu Kataoka, Takumi Inami, Yuichi Momose, Takashi Kawakami, Makoto Takei, Mai Kimura, Sarasa Isobe, Minoru Yamakado, Keiichi Fukuda, Hideaki Yoshino, Motoaki Sano, Toru Satoh	2015	13
13	Nonhormonal Treatment for Endometriosis Focusing on Redox Imbalance Gynecologic and Obstetric Investigation ·Mika Nagayasu, Shogo Imanaka, Mai Kimura, Sachiyo Maruyama, Hiroshi Kobayashi	2021	12
14	Candidate synthetic lethality partners to PARP inhibitors in the treatment of ovarian clear cell cancer Biomedical Reports ·Naoki Kawahara, Kenji Ogawa, Mika Nagayasu, Mai Kimura, Yoshikazu Sasaki, Hiroshi Kobayashi	2017	11
15	Moderate-to-severe obstructive sleep apnea is associated with subclinical myocardial injury and impaired hemodynamics in pulmonary hypertension patients Sleep Medicine ·Takashi Kohno, Masaharu Kataoka, Takashi Kawakami, Ryoma Fukuoka, Yuichi Tamura, Mai Kimura, Makoto Takei, Yuichiro Maekawa, Motoaki Sano, Keiichi Fukuda	2016	11
16	Relationship between Cyst Fluid Concentrations of Iron and Severity of Dysmenorrhea in Patients with Ovarian Endometrioma Gynecologic and Obstetric Investigation ·Shogo Imanaka, Sachiyo Maruyama, Mai Kimura, Mika Nagayasu, Naoki Kawahara, Hiroshi Kobayashi	2021	11
17	Deep learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study EClinicalMedicine ·Kotaro Miura, Ryuichiro Yagi, Hiroshi Miyama, Mai Kimura, Hideaki Kanazawa, Masahiro Hashimoto, Sayuki Kobayashi, Shiro Nakahara, Tetsuya Ishikawa, Isao Taguchi, Motoaki Sano, Kazuki Sato, Keiichi Fukuda, Rahul C. Deo, Calum A. MacRae, Yuji Itabashi, Yoshinori Katsumata, Shinichi Goto	2023	10
18	Increasing mixed venous oxygen saturation is a predictor of improved renal function after balloon pulmonary angioplasty in patients with chronic thromboembolic pulmonary hypertension Heart and Vessels ·Sarasa Isobe, Yuji Itabashi, Takashi Kawakami, Masaharu Kataoka, Shun Kohsaka, Toshimitsu Tsugu, Mai Kimura, Mitsuaki Sawano, Toshiomi Katsuki, Takashi Kohno, Jin Endo, Mitsushige Murata, Keiichi Fukuda	2018	9
19	A deep learning-based automated diagnosis system for SPECT myocardial perfusion imaging Scientific Reports ·Dai Kusumoto, Takumi Akiyama, Masahiro Hashimoto, Yu Iwabuchi, Toshiomi Katsuki, Mai Kimura, Yohei Akiba, Hiromune Sawada, Taku Inohara, Shinsuke Yuasa, Keiichi Fukuda, Masahiro Jinzaki, Masaki Ieda	2024	8
20	Clinical Significance of Guanylate Cyclase Stimulator, Riociguat, on Right Ventricular Functional Improvement in Patients with Pulmonary Hypertension Cardiology ·Mitsushige Murata, Takashi Kawakami, Masaharu Kataoka, Hidenori Moriyama, Takahiro Hiraide, Mai Kimura, Jin Endo, Takashi Kohno, Yuji Itabashi, Keiichi Fukuda	2020	8

About Mai Kimura

Mai Kimura is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 47 papers that have together received 756 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (14 papers), Cardiovascular Function and Risk Factors (9 papers), Cardiac Imaging and Diagnostics (7 papers), Heart Failure Treatment and Management (6 papers), Endometriosis Research and Treatment (6 papers), Cardiovascular and Diving-Related Complications (5 papers), Cardiovascular Issues in Pregnancy (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (111 citations), Aging (18 citations), Biophysics (55 citations), Obstetrics and Gynecology (74 citations) and Health Informatics (12 citations). Mai Kimura has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Keiichi Fukuda, Akira Hirasawa, Gozoh Tsujimoto, Yoshinao Ruike, Susumu Katsuma, Hiroshi Kobayashi, Noriyuki Hatae, Shogo Imanaka, Shinsuke Yuasa and Dai Kusumoto. Their work appears in journals such as Canadian Journal of Cardiology, JACC: Cardiovascular Interventions, European Journal of Obstetrics & Gynecology and Reproductive Biology, Gynecologic and Obstetric Investigation and Cardiology.

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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