Genri Numata

525 total citations · 1 hit paper
16 papers, 310 citations indexed

About

Genri Numata is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Genri Numata has authored 16 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Genri Numata's work include Cardiovascular Function and Risk Factors (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Genri Numata is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Genri Numata collaborates with scholars based in Japan, United States and Norway. Genri Numata's co-authors include Eiki Takimoto, Issei Komuro, Masataka Sata, Teruhiko Imamura, Yasutomi Higashikuni, Yu Tanaka, Wenhao Liu, Yoichiro Hirata, Kimie Tanaka and Daiju Fukuda and has published in prestigious journals such as Nature, Circulation and Nature Communications.

In The Last Decade

Genri Numata

15 papers receiving 306 citations

Hit Papers

NLRP3 Inflammasome Activation Through Heart-Brain Interac... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genri Numata Japan 7 152 107 61 45 41 16 310
Juan Ignacio Burgos Argentina 9 195 1.3× 177 1.7× 41 0.7× 49 1.1× 53 1.3× 13 379
Claudia Sardi Italy 10 112 0.7× 155 1.4× 46 0.8× 38 0.8× 52 1.3× 15 346
Daniela Miranda‐Silva Portugal 12 242 1.6× 168 1.6× 97 1.6× 67 1.5× 58 1.4× 19 473
Jingjing Liang China 11 67 0.4× 138 1.3× 92 1.5× 29 0.6× 55 1.3× 33 381
Qiangyou Wan China 9 81 0.5× 141 1.3× 31 0.5× 26 0.6× 50 1.2× 13 321
Aletta M. E. Millen South Africa 13 225 1.5× 46 0.4× 87 1.4× 74 1.6× 41 1.0× 52 464
Brittany Berk United States 7 64 0.4× 152 1.4× 67 1.1× 87 1.9× 37 0.9× 18 336
Jin-Wen Xu China 11 55 0.4× 123 1.1× 90 1.5× 54 1.2× 44 1.1× 22 311
Shafaat Hussain Sweden 9 90 0.6× 126 1.2× 58 1.0× 26 0.6× 35 0.9× 19 318

Countries citing papers authored by Genri Numata

Since Specialization
Citations

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

Fields of papers citing papers by Genri Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genri Numata

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

All Works

16 of 16 papers shown
1.
Komori, Atsuko, Atsushi Kasai, Henrik Skibbe, et al.. (2025). The astrocytic ensemble acts as a multiday trace to stabilize memory. Nature. 648(8092). 146–156.
2.
Numata, Genri, Yusuke Adachi, Taro Kariya, et al.. (2025). In vivo effects of cardiomyocyte-specific β-1 blockade on afterload- and frequency-dependent cardiac performance. American Journal of Physiology-Heart and Circulatory Physiology. 328(3). H543–H549. 1 indexed citations
3.
Numata, Genri, Kazutaka Ueda, Pang‐Yen Liu, et al.. (2024). Endothelial oestrogen–myocardial cyclic guanosine monophosphate axis critically determines angiogenesis and cardiac performance during pressure overload. Cardiovascular Research. 120(15). 1884–1897. 7 indexed citations
4.
Amiya, Eisuke, Masaru Hatano, Hiroyuki Kiriyama, et al.. (2023). A new assessment method for right ventricular diastolic function using right heart catheterization by pressure‐volume loop. Physiological Reports. 11(13). e15751–e15751. 1 indexed citations
5.
Ishii, Satoshi, Masaru Hatano, Hisataka Maki, et al.. (2023). Prognostic value of follow-up vasoreactivity test in pulmonary arterial hypertension. Journal of Cardiology. 82(1). 69–75. 6 indexed citations
6.
Numata, Genri, Toshihiro Yamaguchi, Yasutomi Higashikuni, et al.. (2022). Endoplasmic reticulum stress-activated nuclear factor-kappa B signaling pathway induces the upregulation of cardiomyocyte dopamine D1 receptor in heart failure. Biochemical and Biophysical Research Communications. 637. 247–253. 5 indexed citations
7.
Adachi, Yusuke, Kazutaka Ueda, Seitaro Nomura, et al.. (2022). Beiging of perivascular adipose tissue regulates its inflammation and vascular remodeling. Nature Communications. 13(1). 5117–5117. 84 indexed citations
8.
Higashikuni, Yasutomi, Wenhao Liu, Genri Numata, et al.. (2022). NLRP3 Inflammasome Activation Through Heart-Brain Interaction Initiates Cardiac Inflammation and Hypertrophy During Pressure Overload. Circulation. 147(4). 338–355. 108 indexed citations breakdown →
9.
Numata, Genri, Eiki Takimoto, Taro Kariya, et al.. (2022). A pacing-controlled protocol for frequency-diastolic relations distinguishes diastolic dysfunction specific to a mouse HFpEF model. American Journal of Physiology-Heart and Circulatory Physiology. 323(3). H523–H527. 6 indexed citations
10.
Numata, Genri & Eiki Takimoto. (2022). Cyclic GMP and PKG Signaling in Heart Failure. Frontiers in Pharmacology. 13. 792798–792798. 46 indexed citations
11.
Liu, Pang‐Yen, Yukio Hiroi, Akiko Kunita, et al.. (2022). Tie2-Cre–Induced Inactivation of Non-Nuclear Estrogen Receptor-α Signaling Abrogates Estrogen Protection Against Vascular Injury. JACC Basic to Translational Science. 8(1). 55–67. 3 indexed citations
12.
Takeda, Norifumi, Genri Numata, Kanna Fujita, et al.. (2022). The Genetic Background of Peripheral Pulmonary Artery Stenosis. 62(10). 89–95. 1 indexed citations
13.
Matsuura, Ryo, Tetsushi Yamashita, Yoshifumi Hamasaki, et al.. (2021). Preexisting heart failure with reduced ejection fraction attenuates renal fibrosis after ischemia reperfusion via sympathetic activation. Scientific Reports. 11(1). 4 indexed citations
14.
Ueda, Kazutaka, Yusuke Adachi, Genri Numata, et al.. (2021). Sex Differences and Regulatory Actions of Estrogen in Cardiovascular System. Frontiers in Physiology. 12. 738218–738218. 32 indexed citations
15.
Numata, Genri, Satoshi Kodera, Hiroyuki Kiriyama, et al.. (2017). Usefulness of central venous saturation as a predictor of thiamine deficiency in critically ill patients: a case report. Journal of Intensive Care. 5(1). 61–61. 3 indexed citations
16.
Numata, Genri, Eisuke Amiya, Toshiya Kojima, et al.. (2017). Cardiac Resynchronization Therapy in Patients with Ebstein's Anomaly. International Heart Journal. 58(5). 816–819. 3 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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