Koji Kuboki

2.0k total citations
22 papers, 1.5k citations indexed

About

Koji Kuboki is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Koji Kuboki has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Koji Kuboki's work include Chronic Kidney Disease and Diabetes (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Advanced Glycation End Products research (3 papers). Koji Kuboki is often cited by papers focused on Chronic Kidney Disease and Diabetes (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Advanced Glycation End Products research (3 papers). Koji Kuboki collaborates with scholars based in Japan and United States. Koji Kuboki's co-authors include George L. King, Teruaki Yamauchi, Masahiko Igarashi, Christopher J. Rhodes, Noriko Takahara, Zhen Jiang, Daisuke Koya, M.R. Jirousek, Hideki Ishii and Edward P. Feener and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Thyroid.

In The Last Decade

Koji Kuboki

20 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koji Kuboki Japan 10 505 440 371 287 276 22 1.5k
G L King United States 12 823 1.6× 457 1.0× 500 1.3× 477 1.7× 275 1.0× 14 2.1k
Noriko Takahara Japan 15 781 1.5× 372 0.8× 512 1.4× 238 0.8× 363 1.3× 26 1.9k
Jee‐Young Han South Korea 29 670 1.3× 570 1.3× 293 0.8× 171 0.6× 251 0.9× 56 2.1k
Haibing Chen China 25 716 1.4× 344 0.8× 274 0.7× 164 0.6× 249 0.9× 93 1.9k
Tamotsu Yokota Japan 21 589 1.2× 315 0.7× 162 0.4× 149 0.5× 196 0.7× 37 1.4k
Teruaki Yamauchi Japan 11 574 1.1× 452 1.0× 636 1.7× 174 0.6× 455 1.6× 22 1.8k
Yoshisuke Haruna Japan 17 441 0.9× 227 0.5× 350 0.9× 224 0.8× 266 1.0× 23 1.6k
Huifang Cheng United States 24 664 1.3× 548 1.2× 389 1.0× 146 0.5× 549 2.0× 36 2.3k
Yukichi Okuda Japan 27 647 1.3× 400 0.9× 450 1.2× 169 0.6× 266 1.0× 85 2.1k
Tamaki Sasaki Japan 27 580 1.1× 441 1.0× 350 0.9× 164 0.6× 296 1.1× 84 2.2k

Countries citing papers authored by Koji Kuboki

Since Specialization
Citations

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

Fields of papers citing papers by Koji Kuboki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Kuboki

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Kuboki. A scholar is included among the top collaborators of Koji Kuboki 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 Koji Kuboki. Koji Kuboki 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.
Ishikawa, Mayumi, Takashi Yagi, Koji Kuboki, et al.. (2020). Role of growth hormone signaling pathways in the development of atherosclerosis. Growth Hormone & IGF Research. 53-54. 101334–101334. 2 indexed citations
2.
Sue, Mariko, Aya Yoshihara, Koji Kuboki, Naoki Hiroi, & Gen Yoshino. (2013). A Case of Severe Acute Necrotizing Pancreatitis after Administration of Sitagliptin. Clinical Medicine Insights Case Reports. 6. 23–7. 16 indexed citations
3.
Kuboki, Koji, et al.. (2011). Influence of Fatty Liver on Plasma Small, Dense LDL- Cholesterol in Subjects with and without Metabolic Syndrome. Journal of Atherosclerosis and Thrombosis. 18(1). 1–7. 32 indexed citations
4.
Hiroi, Naoki, et al.. (2011). Thyroid storm associated with Graves' disease covered by diabetic ketoacidosis: A case report. Thyroid Research. 4(1). 8–8. 18 indexed citations
5.
Kuboki, Koji, et al.. (2011). Effect of Miglitol, an α-Glucosidase Inhibitor, on Postprandial Glucose and Lipid Metabolism in Patients with Type 2 Diabetes. The Showa University Journal of Medical Sciences. 23(4). 217–225. 1 indexed citations
6.
Hiroi, Naoki, Aya Yoshihara, Mariko Sue, et al.. (2011). Diabetic ketoacidosis associated with adrenocorticotropic hormone-producing pituitary adenoma. American Journal of Case Reports. 12. 31–34. 4 indexed citations
7.
Kuboki, Koji, et al.. (2010). Small,dense LDL and High-Sensitivity C-Reactive Protein (hs-CRP) in Metabolic Syndrome with Type 2 Diabetes Mellitus. Journal of Atherosclerosis and Thrombosis. 17(4). 410–415. 20 indexed citations
8.
Kuboki, Koji, et al.. (2007). Effects of Valsartan on Inflammatory and Oxidative Stress Markers in Hypertensive, Hyperglycemic Patients: An Open-Label, Prospective Study. Current Therapeutic Research. 68(5). 338–348. 6 indexed citations
9.
Hiroi, Naoki, et al.. (2007). Graves' Disease with Intractable Diarrhea, Chylous Ascites, and Chylothorax: A Case Report. Thyroid. 17(12). 1299–1303. 7 indexed citations
10.
11.
Kuboki, Koji, et al.. (2002). Role of protein kinase C-angiotensin II pathway for extracellular matrix production in cultured human mesangial cells exposed to high glucose levels. Diabetes Research and Clinical Practice. 59(1). 25–30. 18 indexed citations
12.
Kuboki, Koji, et al.. (2001). High glucose levels enhance TGF-β1–thrombospondin-1 pathway in cultured human mesangial cells via mechanisms dependent on glucose-induced PKC activation. Journal of Diabetes and its Complications. 15(4). 193–197. 21 indexed citations
13.
Kuboki, Koji, et al.. (2001). Long-term effect of epalrestat, an aldose reductase inhibitor, on the development of incipient diabetic nephropathy in Type 2 diabetic patients. Journal of Diabetes and its Complications. 15(5). 241–244. 56 indexed citations
14.
Tada, Hayato, et al.. (2000). TGF-β 1 latency-associated peptide and soluble betaglycan prevent glucose-induced increase in fibronectin production in cultured human mesangial cells. Diabetes Research and Clinical Practice. 50. 359–359. 1 indexed citations
15.
Kuboki, Koji, Zhen Jiang, Noriko Takahara, et al.. (2000). Regulation of Endothelial Constitutive Nitric Oxide Synthase Gene Expression in Endothelial Cells and In Vivo. Circulation. 101(6). 676–681. 490 indexed citations
16.
Igarashi, Masahiko, Hisao Wakasaki, Noriko Takahara, et al.. (1999). Glucose or diabetes activates p38 mitogen-activated protein kinase via different pathways. Journal of Clinical Investigation. 103(2). 185–195. 343 indexed citations
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19.
Kuboki, Koji, et al.. (1989). Increased intraglomerular thrombin formation in diabetic microangiopathy. Diabetes Research and Clinical Practice. 7(2). 121–125. 6 indexed citations
20.
Isogai, Sho, et al.. (1987). Clinical significance of urinary fibronectin degradation products excretion in the development of diabetic nephropathy. Diabetes Research and Clinical Practice. 3. S19–S19. 7 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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