Yukihito Ishii

480 total citations
24 papers, 379 citations indexed

About

Yukihito Ishii is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Yukihito Ishii has authored 24 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 11 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in Yukihito Ishii's work include Pancreatic function and diabetes (9 papers), Diet, Metabolism, and Disease (8 papers) and Adipose Tissue and Metabolism (7 papers). Yukihito Ishii is often cited by papers focused on Pancreatic function and diabetes (9 papers), Diet, Metabolism, and Disease (8 papers) and Adipose Tissue and Metabolism (7 papers). Yukihito Ishii collaborates with scholars based in Japan, United States and Germany. Yukihito Ishii's co-authors include Takeshi Ohta, Makoto Kakutani, Tomohiko Sasase, Katsuhiro Miyajima, Takahiro Hata, Mutsuyoshi Matsushita, Yoshiaki Katsuda, Helge Prinz, Heiko Düßmann and Thomas Stoiber and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.

In The Last Decade

Yukihito Ishii

24 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukihito Ishii Japan 13 115 114 104 80 58 24 379
Haruhisa Yamashita Japan 14 122 1.1× 120 1.1× 170 1.6× 82 1.0× 123 2.1× 29 631
Corey Miller United States 7 172 1.5× 66 0.6× 180 1.7× 103 1.3× 43 0.7× 7 378
Hiroyasu Hirose Japan 10 91 0.8× 136 1.2× 132 1.3× 106 1.3× 28 0.5× 16 505
Hiroki Kumagai Japan 9 109 0.9× 189 1.7× 251 2.4× 77 1.0× 56 1.0× 12 559
Roselle Gélinas Canada 15 73 0.6× 166 1.5× 321 3.1× 77 1.0× 33 0.6× 22 579
Laena Pernomian Brazil 12 91 0.8× 137 1.2× 92 0.9× 32 0.4× 17 0.3× 37 448
Eva Degerman Sweden 8 67 0.6× 147 1.3× 379 3.6× 96 1.2× 46 0.8× 8 535
Hiromi Sugimoto Japan 12 64 0.6× 186 1.6× 185 1.8× 54 0.7× 65 1.1× 23 525
Gerhard Ledinski Austria 13 46 0.4× 80 0.7× 181 1.7× 101 1.3× 24 0.4× 23 515
Anita Chugh India 11 49 0.4× 52 0.5× 192 1.8× 158 2.0× 37 0.6× 21 514

Countries citing papers authored by Yukihito Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Yukihito Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukihito Ishii

This figure shows the co-authorship network connecting the top 25 collaborators of Yukihito Ishii. A scholar is included among the top collaborators of Yukihito Ishii 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 Yukihito Ishii. Yukihito Ishii 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.
Sasase, Tomohiko, Yukihito Ishii, Yoshiaki Katsuda, et al.. (2020). The sphingosine‐1‐phosphate receptor modulator, FTY720, prevents the incidence of diabetes in Spontaneously Diabetic Torii rats. Clinical and Experimental Pharmacology and Physiology. 48(6). 869–876. 7 indexed citations
3.
Ishii, Yukihito, et al.. (2018). Depression‐related behavioural and neuroendocrine changes in the Spontaneously Diabetic Torii (SDT) fatty rat, an animal model of type 2 diabetes mellitus. Clinical and Experimental Pharmacology and Physiology. 45(9). 927–933. 12 indexed citations
4.
Saito, Tomoyuki, et al.. (2018). Hepatic lesions induced by feeding Western diets to Zucker fatty rats, an insulin-resistant model. Journal of Toxicologic Pathology. 31(4). 283–291. 5 indexed citations
6.
Ishii, Yukihito, Akio Kobayashi, Takeshi Ohta, et al.. (2015). JTT-553, a novel Acyl CoA:diacylglycerol acyltransferase (DGAT) 1 inhibitor, improves glucose metabolism in diet-induced obesity and genetic T2DM mice. Journal of Pharmacological Sciences. 129(1). 51–58. 17 indexed citations
7.
Ohta, Takeshi, Hiromi Hamada, Kenji Yamanaka, et al.. (2015). JTP-103237, a novel monoacylglycerol acyltransferase inhibitor, modulates fat absorption and prevents diet-induced obesity. European Journal of Pharmacology. 758. 72–81. 28 indexed citations
8.
Ishii, Yukihito. (2015). Female spontaneously diabetic Torii fatty rats develop nonalcoholic steatohepatitis-like hepatic lesions. World Journal of Gastroenterology. 21(30). 9067–9067. 12 indexed citations
9.
Hata, Takahiro, et al.. (2014). JTT-130, a Novel Intestine-Specific Inhibitor of Microsomal Triglyceride Transfer Protein, Reduces Food Preference for Fat. Journal of Diabetes Research. 2014. 1–7. 5 indexed citations
10.
Katsuda, Yoshiaki, et al.. (2014). Effects of Unilateral Nephrectomy on Renal Function in Male Spontaneously Diabetic Torii Fatty Rats: A Novel Obese Type 2 Diabetic Model. Journal of Diabetes Research. 2014. 1–6. 12 indexed citations
11.
Katsuda, Yoshiaki, et al.. (2014). Physiological changes induced by salt intake in female Spontaneously Diabetic Torii‐Leprfa (SDT fatty) rat, a novel obese type 2 diabetic model. Animal Science Journal. 85(5). 588–594. 7 indexed citations
12.
Fukui, Kenji, Shuichi Kimura, Yukihito Ishii, et al.. (2013). Metabolic Disorders and Diabetic Complications in Spontaneously Diabetic ToriiLeprfaRat: A New Obese Type 2 Diabetic Model. Journal of Diabetes Research. 2013. 1–9. 19 indexed citations
13.
Hata, Takahiro, Takeshi Ohta, Yukihito Ishii, et al.. (2012). Elevated glucagon-like peptide-1 on a high-fat diet feeding prevents the incidence of diabetes mellitus in Spontaneously Diabetic Torii <i>Lepr<sup>fa</sup></i> rats. Journal of Diabetes Mellitus. 2(2). 170–178. 2 indexed citations
15.
Ishii, Yukihito, et al.. (2010). Blood Pressure Characteristics of Female Spontaneously Diabetic Torii-Leprfa Rats. Journal of Veterinary Medical Science. 73(4). 501–505. 6 indexed citations
16.
Ishii, Yukihito, Takeshi Ohta, Tomohiko Sasase, et al.. (2010). A high-fat diet inhibits the progression of diabetes mellitus in type 2 diabetic rats. Nutrition Research. 30(7). 483–491. 24 indexed citations
17.
Ishii, Yukihito, et al.. (2010). Evaluation of Blood Pressure in Spontaneously Diabetic Torii-Leprfa Rats. EXPERIMENTAL ANIMALS. 59(4). 525–529. 16 indexed citations
18.
Matsui, Kenichi, Hiromi Yamamoto, Sumiaki Fukuda, et al.. (2009). Pancreatic Function of Spontaneously Diabetic Torii Rats in Pre-Diabetic Stage. EXPERIMENTAL ANIMALS. 58(4). 363–374. 17 indexed citations
19.
Ohta, Takeshi, Kenichi Matsui, Tomohiko Sasase, et al.. (2009). Effect of Food Restriction on Adipose Tissue in Spontaneously Diabetic Torii Fatty Rats. Experimental Diabetes Research. 2009. 1–9. 17 indexed citations
20.
Prinz, Helge, Yukihito Ishii, Thomas Stoiber, et al.. (2003). Novel Benzylidene-9(10H)-anthracenones as Highly Active Antimicrotubule Agents. Synthesis, Antiproliferative Activity, and Inhibition of Tubulin Polymerization. Journal of Medicinal Chemistry. 46(15). 3382–3394. 68 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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