Rika Araki

665 total citations
19 papers, 459 citations indexed

About

Rika Araki is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rika Araki has authored 19 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rika Araki's work include Diabetes Management and Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Rika Araki is often cited by papers focused on Diabetes Management and Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Rika Araki collaborates with scholars based in Japan, Taiwan and Australia. Rika Araki's co-authors include Akira Shimatsu, Kazuhiko Kotani, Taiichiro Okajima, Makito Tanabe, Yasuhisa Kato, Kazunori Koyama, Mariko Oishi, Noriko Satoh, Yoshihiro Ogawa and Hajime Yamakage and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Atherosclerosis and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Rika Araki

17 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rika Araki Japan 11 214 123 104 97 66 19 459
Hongya Han China 14 271 1.3× 103 0.8× 181 1.7× 105 1.1× 108 1.6× 49 535
Shing-Jong Lin Taiwan 15 238 1.1× 74 0.6× 119 1.1× 167 1.7× 39 0.6× 26 489
Pei Zhu China 12 162 0.8× 77 0.6× 79 0.8× 92 0.9× 51 0.8× 46 396
José María Pou Spain 12 144 0.7× 143 1.2× 94 0.9× 86 0.9× 36 0.5× 22 376
Gadi Shlomai Israel 13 129 0.6× 139 1.1× 112 1.1× 184 1.9× 51 0.8× 45 555
Piotr Książek Poland 14 163 0.8× 112 0.9× 53 0.5× 110 1.1× 31 0.5× 41 570
Mitsunori Fujimura Japan 8 142 0.7× 83 0.7× 42 0.4× 107 1.1× 62 0.9× 16 542
Marco Morale Italy 8 153 0.7× 88 0.7× 82 0.8× 58 0.6× 88 1.3× 14 484
Chizuko Kitabayashi Japan 13 120 0.6× 91 0.7× 100 1.0× 97 1.0× 83 1.3× 21 459
Koen Verdonk Netherlands 15 246 1.1× 149 1.2× 50 0.5× 114 1.2× 62 0.9× 39 820

Countries citing papers authored by Rika Araki

Since Specialization
Citations

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

Fields of papers citing papers by Rika Araki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Araki

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

All Works

19 of 19 papers shown
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Kato, Ken, Rika Araki, Yuichi Matsushita, et al.. (2024). Association of hypoglycemia problem-solving abilities with severe hypoglycemia in adults with type 1 diabetes: a Poisson regression analysis. Diabetology International. 15(4). 777–785. 1 indexed citations
4.
5.
Sakane, Naoki, Ken Kato, Rika Araki, et al.. (2023). Protective and risk factors of impaired awareness of hypoglycemia in patients with type 1 diabetes: a cross-sectional analysis of baseline data from the PR-IAH study. Diabetology & Metabolic Syndrome. 15(1). 79–79. 6 indexed citations
6.
Satoh‐Asahara, Noriko, Kazuhiko Kotani, Hajime Yamakage, et al.. (2015). Cardio-ankle vascular index predicts for the incidence of cardiovascular events in obese patients: A multicenter prospective cohort study (Japan Obesity and Metabolic Syndrome Study: JOMS). Atherosclerosis. 242(2). 461–468. 72 indexed citations
7.
Tanaka, Tsuyoshi, Hiroyuki Goto, Rika Araki, et al.. (2013). Efficacy and safety of sitagliptin in Japanese patients with type 2 diabetes switched from glinides. Journal of Diabetes Investigation. 5(2). 199–205. 2 indexed citations
8.
Tagami, Tetsuya, Hironori Kimura, Tsuyoshi Tanaka, et al.. (2011). Multi-center study on the prevalence of hypothyroidism in patients with hypercholesterolemia. Endocrine Journal. 58(6). 449–457. 29 indexed citations
9.
Kotani, Kazuhiko, Yasuhisa Kato, Rika Araki, et al.. (2011). Remnant-like particle cholesterol and serum amyloid A–low-density lipoprotein levels in obese subjects with metabolic syndrome. Journal of clinical lipidology. 5(5). 395–400. 11 indexed citations
10.
Kotani, Kazuhiko, Noriko Satoh‐Asahara, Yasuhisa Kato, et al.. (2011). Serum Amyloid a Low-Density Lipoprotein Levels and Smoking Status in Obese Japanese Patients. Journal of International Medical Research. 39(5). 1917–1922. 10 indexed citations
11.
Satoh‐Asahara, Noriko, Takayoshi Suganami, Takafumi Majima, et al.. (2010). Urinary Cystatin C as a Potential Risk Marker for Cardiovascular Disease and Chronic Kidney Disease in Patients with Obesity and Metabolic Syndrome. Clinical Journal of the American Society of Nephrology. 6(2). 265–273. 37 indexed citations
12.
Kotani, Kazuhiko, Noriko Satoh, Yasuhisa Kato, et al.. (2008). A novel oxidized low-density lipoprotein marker, serum amyloid A-LDL, is associated with obesity and the metabolic syndrome. Atherosclerosis. 204(2). 526–531. 39 indexed citations
13.
Satoh, Noriko, Akira Shimatsu, Yasuhisa Kato, et al.. (2008). Evaluation of the Cardio-Ankle Vascular Index, a New Indicator of Arterial Stiffness Independent of Blood Pressure, in Obesity and Metabolic Syndrome. Hypertension Research. 31(10). 1921–1930. 121 indexed citations
14.
Yano, Yutaka, Esteban C. Gabazza, Nelson E. Bruno, et al.. (2007). Monocyte chemoattractant protein-1 promoter −2518 polymorphism is associated with post-challenge insulin and glucose levels in non-diabetic Japanese subjects. Diabetes Research and Clinical Practice. 78(2). 208–210. 5 indexed citations
15.
Yano, Yutaka, Esteban C. Gabazza, Rika Araki, et al.. (2007). Inverse correlation between activated protein C generation and carotid atherosclerosis in Type 2 diabetic patients. Diabetic Medicine. 24(12). 1322–1328. 21 indexed citations
16.
Kitagawa, Nagako, Yutaka Yano, Esteban C. Gabazza, et al.. (2006). Different metabolic correlations of thrombin-activatable fibrinolysis inhibitor and plasminogen activator inhibitor-1 in non-obese type 2 diabetic patients. Diabetes Research and Clinical Practice. 73(2). 150–157. 27 indexed citations
17.
Araki, Rika, et al.. (1996). Novel Specific Chemotactic Receptor for S100L Protein on Guinea Pig Eosinophils. Biochemical and Biophysical Research Communications. 220(3). 871–874. 52 indexed citations
18.
Araki, Rika, et al.. (1995). Protein Kinase C-Independent Activation of RAF-1 and Mitogen-Activated Protein Kinase by Leukotriene B4 in Guinea Pig Eosinophils. Biochemical and Biophysical Research Communications. 210(3). 837–843. 9 indexed citations
19.
Araki, Rika, et al.. (1992). Wegener's Granulomatosis with Papillary Adenocarcinoma of the Thyroid.. Internal Medicine. 31(8). 1065–1068. 11 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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