Kei Nakata

780 total citations
33 papers, 564 citations indexed

About

Kei Nakata is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Kei Nakata has authored 33 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Epidemiology. Recurrent topics in Kei Nakata's work include Cardiac Imaging and Diagnostics (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cardiovascular Function and Risk Factors (5 papers). Kei Nakata is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cardiovascular Function and Risk Factors (5 papers). Kei Nakata collaborates with scholars based in Japan and United States. Kei Nakata's co-authors include Masaya Tanno, Toshiyuki Yano, Tetsuji Miura, Takayuki Miki, Tatsuya Sato, Atsushi Kuno, Yukishige Kimura, H Oshima, Masashi Mizuno and Koki Abe and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Kei Nakata

27 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kei Nakata Japan 11 253 234 159 111 101 33 564
Gaetana Albanese Italy 9 302 1.2× 241 1.0× 156 1.0× 189 1.7× 70 0.7× 11 624
Vadim V. Klimontov Russia 15 388 1.5× 170 0.7× 220 1.4× 81 0.7× 122 1.2× 101 799
Poorna R. Karuparthi United States 12 205 0.8× 122 0.5× 182 1.1× 217 2.0× 55 0.5× 30 647
Leann Olansky United States 16 408 1.6× 305 1.3× 185 1.2× 81 0.7× 81 0.8× 29 726
Maxime Pellegrin Switzerland 12 86 0.3× 255 1.1× 113 0.7× 195 1.8× 122 1.2× 33 651
Salva R. Yurista United States 11 401 1.6× 281 1.2× 175 1.1× 337 3.0× 37 0.4× 25 793
H. J. Arnqvist Sweden 13 370 1.5× 284 1.2× 269 1.7× 76 0.7× 47 0.5× 27 770
Ji Hu China 13 157 0.6× 110 0.5× 90 0.6× 53 0.5× 48 0.5× 33 460
Daphne Yau United Kingdom 12 245 1.0× 249 1.1× 170 1.1× 37 0.3× 83 0.8× 27 541
Yoshikazu Nitta Japan 10 174 0.7× 116 0.5× 77 0.5× 181 1.6× 113 1.1× 16 629

Countries citing papers authored by Kei Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Kei Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Kei Nakata. A scholar is included among the top collaborators of Kei Nakata 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 Kei Nakata. Kei Nakata 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
2.
Nishikawa, Ryo, Toshiyuki Yano, Kei Nakata, et al.. (2025). Pathological Analysis of T1 Pseudonormalization in the Advanced Stage of Female Fabry Cardiomyopathy. Circulation Heart Failure. 18(5). e012234–e012234.
3.
Tanaka, Marenao, Tatsuya Sato, Tomohito Gohda, et al.. (2025). Elevated urinary fatty acid-binding protein 4 level predicts future renal dysfunction and poor prognosis in Japanese patients with diabetes: a longitudinal cohort study. Clinical Kidney Journal. 18(4). sfaf056–sfaf056.
5.
6.
Tanaka, Marenao, Tatsuya Sato, Yukinori Akiyama, et al.. (2025). Incorporation of Metabolic Dysfunction‐Associated Steatotic Liver Disease in the Health Stage of Cardiovascular‐Kidney‐Metabolic Syndrome Improves Predictive Ability for Coronary Artery Disease in a Japanese General Population. Journal of the American Heart Association. 14(16). e043173–e043173. 1 indexed citations
7.
Suzuki, Toru, Tatsuya Sato, Marenao Tanaka, et al.. (2024). Tirzepatide ameliorates eating behaviors regardless of prior exposure to glucagon-like peptide receptor agonists in Japanese patients with type 2 diabetes mellitus. Journal of Diabetes and its Complications. 38(7). 108779–108779. 6 indexed citations
9.
Nakata, Kei, et al.. (2024). Science behind children’s handwashing: action study of 9- to 10-years-old elementary school students in Japan. Frontiers in Public Health. 12. 1425646–1425646.
10.
Tanaka, Marenao, Tatsuya Sato, Tomohito Gohda, et al.. (2024). Urinary fatty acid‐binding protein 4 is a promising biomarker for glomerular damage in patients with diabetes mellitus. Journal of Diabetes Investigation. 16(4). 670–679. 1 indexed citations
11.
Nakamura, Satoshi, Masaki Ishida, Kei Nakata, et al.. (2023). Complementary prognostic value of stress perfusion imaging and global coronary flow reserve derived from cardiovascular magnetic resonance: a long-term cohort study. Journal of Cardiovascular Magnetic Resonance. 25(1). 20–20. 5 indexed citations
12.
Kobayashi, Ryo, Makito Tanaka, Marenao Tanaka, et al.. (2023). Validation of Estimated Small Dense Low-Density Lipoprotein Cholesterol Concentration in a Japanese General Population. Journal of Atherosclerosis and Thrombosis. 31(6). 931–952. 8 indexed citations
13.
Takafuji, Masafumi, Masaki Ishida, Satoshi Nakamura, et al.. (2023). Microvascular Dysfunction in Patients with Idiopathic Dilated Cardiomyopathy: Quantitative Assessment with Phase Contrast Cine MR Imaging of the Coronary Sinus. Magnetic Resonance in Medical Sciences. 24(1). 10–19. 4 indexed citations
14.
Murakami, Hiroaki, Naoki Fujimoto, Kei Nakata, et al.. (2020). Serial cardiac magnetic resonance imaging in wet beriberi. Journal of Cardiology Cases. 22(3). 100–102. 1 indexed citations
15.
Abe, Koki, Toshiyuki Yano, Masaya Tanno, et al.. (2019). mTORC1 inhibition attenuates necroptosis through RIP1 inhibition-mediated TFEB activation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(12). 165552–165552. 46 indexed citations
16.
Oshima, H, Takayuki Miki, Atsushi Kuno, et al.. (2018). Empagliflozin, an SGLT2 Inhibitor, Reduced the Mortality Rate after Acute Myocardial Infarction with Modification of Cardiac Metabolomes and Antioxidants in Diabetic Rats. Journal of Pharmacology and Experimental Therapeutics. 368(3). 524–534. 103 indexed citations
17.
Kuno, Atsushi, Masaya Tanno, Takayuki Miki, et al.. (2017). Suppressed autophagic response underlies augmentation of renal ischemia/reperfusion injury by type 2 diabetes. Scientific Reports. 7(1). 5311–5311. 29 indexed citations
18.
Nakata, Kei, Takayuki Miki, Masaya Tanno, et al.. (2017). Distinct impacts of sleep-disordered breathing on glycemic variability in patients with and without diabetes mellitus. PLoS ONE. 12(12). e0188689–e0188689. 17 indexed citations
19.
Nakata, Kei, Takayuki Miki, Masaya Tanno, et al.. (2016). Abstract 17519: Distinct Impacts of Sleep-disordered Breathing on Glycemic Variability in Patients With and Without Heart Failure. Circulation. 1 indexed citations
20.
Nakata, Tomoaki, Kei Nakata, & Akiyoshi Hashimoto. (2016). Recent Developments and Future Directions of Sympathetic Nervous Function Imaging. 2(1). 146–151. 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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