Yukio Shigeta

3.7k total citations
147 papers, 3.1k citations indexed

About

Yukio Shigeta is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Yukio Shigeta has authored 147 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 53 papers in Endocrinology, Diabetes and Metabolism and 42 papers in Surgery. Recurrent topics in Yukio Shigeta's work include Pancreatic function and diabetes (31 papers), Metabolism, Diabetes, and Cancer (28 papers) and Diabetes Management and Research (14 papers). Yukio Shigeta is often cited by papers focused on Pancreatic function and diabetes (31 papers), Metabolism, Diabetes, and Cancer (28 papers) and Diabetes Management and Research (14 papers). Yukio Shigeta collaborates with scholars based in Japan, United States and South Korea. Yukio Shigeta's co-authors include Ryuichi Kikkawa, Masashi Kobayashi, Hiroshi Maegawa, Masakazu Haneda, Katsuya Egawa, Atsunori Kashiwagi, Yasuo Akanuma, Motoaki Shichiri, Nobuo Sakamoto and Ryuzo Kawamori and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yukio Shigeta

139 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukio Shigeta Japan 31 1.3k 979 807 539 467 147 3.1k
Y. Shigeta Japan 28 919 0.7× 767 0.8× 670 0.8× 324 0.6× 443 0.9× 85 2.3k
Nobuo Sakamoto Japan 25 649 0.5× 709 0.7× 502 0.6× 481 0.9× 331 0.7× 153 2.9k
Philip J. Randle United Kingdom 32 2.0k 1.6× 1.6k 1.6× 556 0.7× 824 1.5× 718 1.5× 44 4.3k
W.C. Hülsmann Netherlands 36 2.1k 1.7× 1.2k 1.3× 749 0.9× 673 1.2× 597 1.3× 149 4.6k
Masanori Yoshizumi Japan 35 1.9k 1.5× 1.0k 1.0× 851 1.1× 507 0.9× 274 0.6× 130 4.4k
I. George Fantus Canada 36 2.2k 1.7× 903 0.9× 925 1.1× 676 1.3× 280 0.6× 66 4.5k
F. Umeda Japan 17 855 0.7× 773 0.8× 611 0.8× 378 0.7× 167 0.4× 55 2.5k
David A. Beebe United States 13 1.3k 1.0× 1.1k 1.1× 991 1.2× 384 0.7× 362 0.8× 18 3.9k
Steven H. Quarfordt United States 30 1.2k 1.0× 784 0.8× 1.2k 1.5× 1.4k 2.6× 224 0.5× 82 3.7k
Timothy S. Kern United States 33 1.8k 1.4× 790 0.8× 704 0.9× 293 0.5× 470 1.0× 64 4.9k

Countries citing papers authored by Yukio Shigeta

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Shigeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukio Shigeta

This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Shigeta. A scholar is included among the top collaborators of Yukio Shigeta 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 Yukio Shigeta. Yukio Shigeta 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.
Iwamoto, Yasuhiko, Yasuo Akanuma, Hiroo Niimi, et al.. (2001). Comparison between Insulin Aspart and Soluble Human Insulin in Type 1 Diabetes(IDDM) Patients Treated with Basal-Bolus Insulin Therapy : Phase III Clinical Trial in Japan. 44(10). 799–811. 9 indexed citations
2.
Terada, Masahiko, Hitoshi Yasuda, Ryuichi Kikkawa, & Yukio Shigeta. (1996). Tolrestat improves nerve regeneration after crush injury in streptozocin-induced diabetic rats. Metabolism. 45(10). 1189–1195. 18 indexed citations
3.
Asahina, Takayuki, Yoshihiko Nishio, Motoyoshi Ikebuchi, et al.. (1996). Glycation, Oxidative Stress, and Scavenger Activity: Glucose Metabolism and Radical Scavenger Dysfunction in Endothelial Cells. Diabetes. 45(Supplement_3). S84–S86. 68 indexed citations
4.
Araki, Shin‐ichi, Ryuichi Kikkawa, Masakazu Haneda, et al.. (1995). Microalbuminuria cannot predict cardiovascular death in Japanese subjects with non-insulin-dependent diabetes mellitus. Journal of Diabetes and its Complications. 9(4). 323–325. 4 indexed citations
5.
Maegawa, Hiroshi, Masaaki Hasegawa, Satoshi Ugi, et al.. (1995). Thiazolidine Derivatives Ameliorate High Glucose-induced Insulin Resistance via the Normalization of Protein-tyrosine Phosphatase Activities. Journal of Biological Chemistry. 270(13). 7724–7730. 74 indexed citations
6.
Kashiwagi, Atsunori, et al.. (1995). Insulin-specific activation of S6 kinase and its desensitization in cultured rat vascular smooth muscle cells. Atherosclerosis. 113(1). 19–27. 14 indexed citations
7.
Shigeta, Yukio & Ryuichi Kikkawa. (1994). Diabetic nephropathy in Japan. Diabetes Research and Clinical Practice. 24. S191–S197. 6 indexed citations
8.
Haneda, Masakazu, et al.. (1994). A Case of Lipoprotein Glomerulopathy Successfully Treated with Probucol. ˜The œNephron journals/Nephron journals. 67(1). 109–113. 26 indexed citations
10.
Hidaka, Hideki, Hitoshi Yasuda, Masashi Kobayashi, et al.. (1992). Familial Spinal Xanthomatosis with Sitosterolemia.. Internal Medicine. 31(8). 1038–1042. 7 indexed citations
11.
Nishio, Yoshihiko, Atsunori Kashiwagi, Takayuki Asahina, et al.. (1990). Increase in [3H]PN 200-110 Binding to Cardiac Muscle Membrane in Streptozocin-Induced Diabetic Rats. Diabetes. 39(9). 1064–1069. 27 indexed citations
12.
Hotta, Nigishi, Nobuo Sakamoto, Yasuo Akanuma, et al.. (1989). Effect of a New Aldose Reductase Inhibitor, Ponalrestat, on Reduction of Red Blood Cell Sorbitol Level in Diabetics. 32(11). 787–795. 2 indexed citations
13.
Kikkawa, Ryuichi, et al.. (1986). Biphasic Alteration of Renin-Angiotensin-Aldosterone System in Streptozotocin-Diabetic Rats. Kidney & Blood Pressure Research. 9(3). 187–192. 35 indexed citations
14.
Maegawa, Hiroshi, et al.. (1984). Insulin Action in Isolated Rat Soleus Muscles: Insulin Binding and Insulin Stimulation of 2-deoxyglucose (2 DOG) Uptake. 27(6). 697–705. 1 indexed citations
15.
Kobayashi, Masashi, et al.. (1983). A new potentiator of insulin action. FEBS Letters. 163(1). 50–53. 19 indexed citations
16.
Kobayashi, Masashi, et al.. (1982). Supernormal insulin: [D-PheB24]-insulin with increased affinity for insulin receptors. Biochemical and Biophysical Research Communications. 107(1). 329–336. 53 indexed citations
17.
Shichiri, Motoaki, et al.. (1978). Increased intestinal absorption of insulin in a micellar solution: Water-in-oil-in-water insulin micelles. Acta Diabetologica. 15(3-4). 175–183. 9 indexed citations
18.
Shigeta, Yukio, et al.. (1966). EFFECT OF PANTETHINE TREATMENT ON VIBRATORY PERCEPTION IN PATIENTS WITH DIABETIC NEUROPATHY. THE JOURNAL OF VITAMINOLOGY. 12(4). 299–302.
19.
Shigeta, Yukio & Walton W. Shreeve. (1964). Fatty acid synthesis from glucose-1-H3 and glucose-1-C14 in obese-hyperglycemic mice. American Journal of Physiology-Legacy Content. 206(5). 1085–1090. 37 indexed citations
20.
Shigeta, Yukio, et al.. (1956). STUDIES ON THE METABOLISM OF PANTOTHENIC ACID IN LIVER DAMAGES. THE JOURNAL OF VITAMINOLOGY. 2(4). 299–306. 5 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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