Yoko Koike

413 total citations
18 papers, 340 citations indexed

About

Yoko Koike is a scholar working on Surgery, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Yoko Koike has authored 18 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Yoko Koike's work include Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Yoko Koike is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Yoko Koike collaborates with scholars based in Japan, United States and Spain. Yoko Koike's co-authors include Miwa Misawa, Tsutomu Suzuki, Saizo YANAURA, Masatomo Mori, Tamotsu Ishizuka, Kunio Dobashi, Mitsuyoshi Utsugi, Takeshi Hisada, Akihiro Ono and Yukie Murata and has published in prestigious journals such as American Journal of Respiratory Cell and Molecular Biology, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Diabetes Research and Clinical Practice.

In The Last Decade

Yoko Koike

18 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoko Koike Japan 12 132 107 63 46 36 18 340
Prabhati Ray United States 16 90 0.7× 148 1.4× 51 0.8× 37 0.8× 29 0.8× 37 521
R.-M. Catalioto Italy 9 174 1.3× 192 1.8× 61 1.0× 17 0.4× 20 0.6× 9 379
P. C. Braga Italy 8 228 1.7× 96 0.9× 159 2.5× 34 0.7× 38 1.1× 19 440
Isabelle Delton France 12 41 0.3× 130 1.2× 89 1.4× 34 0.7× 51 1.4× 17 381
Revathi Sekar Hong Kong 10 75 0.6× 102 1.0× 58 0.9× 74 1.6× 30 0.8× 14 269
Hisanori Takanashi Japan 15 96 0.7× 80 0.7× 137 2.2× 38 0.8× 11 0.3× 38 479
S. F. Echtenkamp United States 9 81 0.6× 99 0.9× 50 0.8× 46 1.0× 11 0.3× 24 438
M.D. Ferrández Spain 9 84 0.6× 85 0.8× 57 0.9× 18 0.4× 24 0.7× 11 379
Jesús Chávez‐Reyes Mexico 10 53 0.4× 107 1.0× 51 0.8× 44 1.0× 65 1.8× 20 351
Brenda B. Rauner 4 77 0.6× 132 1.2× 76 1.2× 13 0.3× 32 0.9× 4 408

Countries citing papers authored by Yoko Koike

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Koike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Koike

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

All Works

18 of 18 papers shown
1.
Koike, Yoko & Yasuo Terauchi. (2021). Are current SGLT2 Inhibitors efficacious treatment options for Type 1 diabetes?. Expert Opinion on Pharmacotherapy. 22(9). 1079–1081. 2 indexed citations
2.
Koike, Yoko, Shinichiro Shirabe, Hajime Maeda, et al.. (2019). Effect of canagliflozin on the overall clinical state including insulin resistance in Japanese patients with type 2 diabetes mellitus. Diabetes Research and Clinical Practice. 149. 140–146. 37 indexed citations
3.
Mizuno, Atsushi, Yoko Koike, & Koichiro Niwa. (2013). Four‐Dimensional Visualization of Accessory Mitral Valve Tissue and Cleft Mitral Valve Movement. Echocardiography. 30(4). E114–5. 2 indexed citations
4.
Dobashi, Kunio, Yoko Yoshikawa, Seiichi Higuchi, et al.. (2008). Five-antituberculosis Drug-resistance Genes Detection Using Array System. Journal of Clinical Biochemistry and Nutrition. 42(3). 228–234. 12 indexed citations
5.
Yanagitani, Noriko, Kyoichi Kaira, Noriaki Sunaga, et al.. (2007). Serum amylase is a sensitive tumor marker for amylase-producing small cell lung cancer?. International Journal of Clinical Oncology. 12(3). 231–233. 16 indexed citations
6.
Koike, Yoko, Takeshi Hisada, Mitsuyoshi Utsugi, et al.. (2007). Glutathione Redox Regulates Airway Hyperresponsiveness and Airway Inflammation in Mice. American Journal of Respiratory Cell and Molecular Biology. 37(3). 322–329. 72 indexed citations
7.
Sato, Haruhiro, Yoko Koike, Masashi Honma, Mitsunori Yagame, & Koichi Ito. (2007). Evaluation of Thyroid Hormone Action in a Case of Generalized Resistance to Thyroid Hormone with Chronic Thyroiditis: Discovery of a Novel Heterozygous Missense Mutation (G347A). Endocrine Journal. 54(5). 727–732. 11 indexed citations
8.
Wu, Qiong, et al.. (2006). A Case with Membranous Lupus Nephritis Developing after a Twenty-year Remission of Membranoproliferative Glomerulonephritis. Internal Medicine. 45(8). 531–536. 1 indexed citations
9.
Dobashi, Kunio, Shogo Moriya, Yoko Koike, et al.. (2005). DNA microarray genotyping of N-acetyltransferase 2 polymorphism using carbodiimide as the linker for assessment of isoniazid hepatotoxicity. Tuberculosis. 86(5). 374–381. 32 indexed citations
10.
Suzuki, Tsutomu, et al.. (1992). Susceptibility to, tolerance to, and physical dependence on ethanol and barbital in two inbred strains of rats. General Pharmacology The Vascular System. 23(1). 11–17. 13 indexed citations
11.
Suzuki, Tsutomu, Yoko Koike, Saizo YANAURA, Frank R. George, & Richard A. Meisch. (1992). Sex differences in physical dependence on pentobarbital in four inbred strains of rats. General Pharmacology The Vascular System. 23(3). 487–492. 12 indexed citations
12.
Suzuki, Tsutomu, et al.. (1989). Induction of physical dependence on pentobarbital by new infusion method in the rat. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 13(1-2). 285–295. 3 indexed citations
13.
Suzuki, Tsutomu, et al.. (1988). Cross-physical dependence of several drugs in methaqualone-dependent rats.. The Japanese Journal of Pharmacology. 46(4). 403–410. 5 indexed citations
14.
Koike, Yoko, et al.. (1988). Genetic differences in preferences for morphine and codeine in Lewis and Fischer 344 inbred rat strains.. The Japanese Journal of Pharmacology. 47(4). 425–431. 66 indexed citations
15.
Suzuki, Tsutomu, et al.. (1988). Genetic Differences in Preferences for Morphine and Codeine in Lewis and Fischer 344 Inbred Rat Strains. The Japanese Journal of Pharmacology. 47(4). 425–431. 11 indexed citations
16.
Suzuki, Tsutomu, Yoko Koike, Saizo YANAURA, Frank R. George, & Richard A. Meisch. (1987). Genetic differences in the development of physical dependence on pentobarbital in four inbred strains of rats.. The Japanese Journal of Pharmacology. 45(4). 479–486. 21 indexed citations
17.
Suzuki, Tsutomu, Yoko Koike, Saizo YANAURA, Frank R. George, & Richard A. Meisch. (1987). Genetic Differences in the Development of Physical Dependence on Pentobarbital in Four Inbred Strains of Rats. The Japanese Journal of Pharmacology. 45(4). 479–486. 3 indexed citations
18.
Suzuki, Tsutomu, et al.. (1985). Sex Differences in the Induction of Physical Dependence on Pentobarbital in the Rat. The Japanese Journal of Pharmacology. 39(4). 453–459. 21 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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