Noriko Takebe

807 total citations
23 papers, 368 citations indexed

About

Noriko Takebe is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Noriko Takebe has authored 23 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Epidemiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Noriko Takebe's work include Cardiovascular Disease and Adiposity (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Noriko Takebe is often cited by papers focused on Cardiovascular Disease and Adiposity (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Noriko Takebe collaborates with scholars based in Japan. Noriko Takebe's co-authors include Jo Satoh, Takashi Kajiwara, Kazuma Takahashi, Yasushi Ishigaki, J. Satoh, Toshiyuki Onoda, Wataru Ishida, S. Takikawa, Yoshihiko Takahashi and Yutaka Hasegawa and has published in prestigious journals such as PLoS ONE, Diabetes Care and Diabetic Medicine.

In The Last Decade

Noriko Takebe

23 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noriko Takebe Japan 13 120 103 75 75 63 23 368
Li Jin Pu China 10 141 1.2× 85 0.8× 75 1.0× 120 1.6× 46 0.7× 12 389
Naoufel Nabli Tunisia 12 105 0.9× 126 1.2× 89 1.2× 53 0.7× 78 1.2× 27 345
Min Ho Cho South Korea 10 124 1.0× 85 0.8× 67 0.9× 82 1.1× 90 1.4× 25 355
Miho Yano Japan 7 62 0.5× 83 0.8× 43 0.6× 33 0.4× 48 0.8× 10 342
Ki-ichi Okumura Japan 7 80 0.7× 81 0.8× 55 0.7× 97 1.3× 41 0.7× 9 332
Shao-Gang Ma China 11 145 1.2× 50 0.5× 48 0.6× 44 0.6× 49 0.8× 31 308
Jadwiga Peczyńska Poland 10 166 1.4× 60 0.6× 105 1.4× 108 1.4× 48 0.8× 42 424
Elisabetta Nardella Italy 13 64 0.5× 62 0.6× 196 2.6× 70 0.9× 51 0.8× 24 395
Can Pang China 9 97 0.8× 135 1.3× 67 0.9× 70 0.9× 127 2.0× 14 414
José María Pou Spain 12 143 1.2× 49 0.5× 94 1.3× 144 1.9× 47 0.7× 22 376

Countries citing papers authored by Noriko Takebe

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Takebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Takebe

This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Takebe. A scholar is included among the top collaborators of Noriko Takebe 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 Noriko Takebe. Noriko Takebe 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.
Satoh, Ken, Noriko Takebe, Ken Onodera, et al.. (2023). Adiponectin Paradox More Evident in Non-Obese Than in Obese Patients with Diabetic Microvascular Complications. Diabetes Metabolic Syndrome and Obesity. Volume 16. 201–212. 3 indexed citations
2.
Mori, Futoshi, et al.. (2023). Evaluation of High Intracranial Plaque Prevalence in Type 2 Diabetes Using Vessel Wall Imaging on 7 T Magnetic Resonance Imaging. Brain Sciences. 13(2). 217–217. 1 indexed citations
4.
Takebe, Noriko, Kozo Tanno, Hideki Ohmomo, et al.. (2021). Weight Gain After 20 Years of Age is Associated with Unfavorable Lifestyle and Increased Prevalence of Metabolic Disorders. Diabetes Metabolic Syndrome and Obesity. Volume 14. 2065–2075. 8 indexed citations
5.
Hasegawa, Yutaka, Noriko Takebe, Ken Onodera, et al.. (2020). Serum C‐X‐C motif chemokine ligand 14 levels are associated with serum C‐peptide and fatty liver index in type 2 diabetes mellitus patients. Journal of Diabetes Investigation. 12(6). 1042–1049. 14 indexed citations
6.
Takebe, Noriko, et al.. (2017). Association of epicardial adipose tissue with serum level of cystatin C in type 2 diabetes. PLoS ONE. 12(9). e0184723–e0184723. 18 indexed citations
7.
Takebe, Noriko, Takashi Kajiwara, Kazuma Takahashi, et al.. (2016). Association of Advanced Glycation End Products with coronary Artery Calcification in Japanese Subjects with Type 2 Diabetes as Assessed by Skin Autofluorescence. Journal of Atherosclerosis and Thrombosis. 23(10). 1178–1187. 49 indexed citations
8.
Takahashi, Yoshihiko, Takashi Satoh, Izumi Fukuda, et al.. (2015). Non-Islet Cell Tumor Hypoglycemia Is Caused by Big IGF-II in a Patient with a Carcinosarcoma of the Uterus. Internal Medicine. 54(24). 3165–3169. 4 indexed citations
9.
Takahashi, Kazuhiro, Takashi Kajiwara, Yutaka Takahashi, et al.. (2014). Positive association of free triiodothyronine with pancreatic β‐cell function in people with prediabetes. Diabetic Medicine. 32(2). 213–219. 19 indexed citations
10.
Takebe, Noriko, et al.. (2014). Association of Coronary Artery Calcification with MDA-LDL-C/LDL-C and Urinary 8-Isoprostane in Japanese Patients with Type 2 Diabetes. Internal Medicine. 53(5). 391–396. 12 indexed citations
11.
Takebe, Noriko, et al.. (2012). Coronary artery calcification to assess coronary heart disease risk in Japanese patients with type 2 diabetes. 64(5). 363–369. 1 indexed citations
12.
Maesawa, Chihaya, Noriko Takebe, Toru Takahashi, et al.. (2012). Different Susceptibility to Insulin Resistance and Fatty Liver Depending on the Combination of TNF-.ALPHA. C-857T and Adiponectin G+276T Gene Polymorphisms in Japanese Subjects with Type 2 Diabetes. The Tohoku Journal of Experimental Medicine. 226(2). 161–169. 9 indexed citations
13.
Takahashi, Kazuma, et al.. (2011). Serum CXCL1 concentrations are elevated in type 1 diabetes mellitus, possibly reflecting activity of anti‐islet autoimmune activity. Diabetes/Metabolism Research and Reviews. 27(8). 830–833. 29 indexed citations
16.
Takahashi, Toru, Kazuma Takahashi, Chihaya Maesawa, et al.. (2009). Association of the TNF-α-C-857T Polymorphism With Resistance to the Cholesterol-Lowering Effect of HMG-CoA Reductase Inhibitors in Type 2 Diabetic Subjects. Diabetes Care. 33(3). 463–466. 9 indexed citations
18.
Ishida, Wataru, Takashi Kajiwara, Noriko Takebe, et al.. (2007). Decrease in Mortality Rate of Chronic Obstructive Pulmonary Disease (COPD) with Statin Use: A Population-Based Analysis in Japan. The Tohoku Journal of Experimental Medicine. 212(3). 265–273. 41 indexed citations
19.
Miura, Masanori, Noriko Takebe, Wataru Ishida, et al.. (2005). Low Incidence of Vascular Complications in Patients with Diabetes Mellitus Associated with Liver Cirrhosis as Compared with Type 2 Diabetes Mellitus. The Tohoku Journal of Experimental Medicine. 205(4). 327–334. 14 indexed citations
20.
Yoshioka, Yoshichika, Wataru Ishida, Masanori Miura, et al.. (2005). Liver Fat Content Measured by Magnetic Resonance Spectroscopy at 3.0 Tesla Independently Correlates with Plasminogen Activator Inhibitor-1 and Body Mass Index in Type 2 Diabetic Subjects. The Tohoku Journal of Experimental Medicine. 206(1). 23–30. 24 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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