Keiko Hoshi

1.3k total citations
57 papers, 1.0k citations indexed

About

Keiko Hoshi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Keiko Hoshi has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Keiko Hoshi's work include Rheumatoid Arthritis Research and Therapies (7 papers), Ion channel regulation and function (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). Keiko Hoshi is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Ion channel regulation and function (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). Keiko Hoshi collaborates with scholars based in Japan and United States. Keiko Hoshi's co-authors include Yutaka Mizushima, Akira Yanagawa, Yasuaki Ogawa, Akinori Ueno, Toshiyuki Ikoma, Tsutomu Ishihara, Masako Hara, Sachiko Sugawara, Nobuo Matsui and T Matsuda and has published in prestigious journals such as Blood, Advanced Drug Delivery Reviews and Brain Research.

In The Last Decade

Keiko Hoshi

57 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiko Hoshi Japan 17 247 198 118 116 105 57 1.0k
Hwajeong Lee South Korea 17 447 1.8× 236 1.2× 108 0.9× 70 0.6× 189 1.8× 53 1.2k
Hiroshi Matsushima Japan 24 511 2.1× 146 0.7× 115 1.0× 184 1.6× 29 0.3× 75 1.8k
Gerard Marx Israel 25 432 1.7× 142 0.7× 139 1.2× 155 1.3× 260 2.5× 90 2.0k
Jiajie Li China 15 443 1.8× 114 0.6× 147 1.2× 125 1.1× 52 0.5× 62 1000
Roselyne Garnotel France 24 418 1.7× 65 0.3× 190 1.6× 128 1.1× 71 0.7× 71 1.4k
Dian Wang China 17 1.1k 4.7× 188 0.9× 107 0.9× 320 2.8× 84 0.8× 32 1.9k
Susan Shull United States 11 571 2.3× 139 0.7× 77 0.7× 197 1.7× 83 0.8× 17 1.3k
Marie G. Selzer United States 18 516 2.1× 93 0.5× 67 0.6× 50 0.4× 48 0.5× 21 1.5k
Alexandra Stubelius Sweden 19 389 1.6× 141 0.7× 237 2.0× 176 1.5× 161 1.5× 40 1.2k
Günter Goerz Germany 19 382 1.5× 292 1.5× 234 2.0× 158 1.4× 27 0.3× 33 1.6k

Countries citing papers authored by Keiko Hoshi

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Hoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Hoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Hoshi. A scholar is included among the top collaborators of Keiko Hoshi 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 Keiko Hoshi. Keiko Hoshi 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.
Hosoe, Tomoo, Hiroyoshi Moriyama, Daigo Wakana, et al.. (2009). Inhibitory effects of dihydroterrein and terrein isolated from Aspergillus novofumigatus on platelet aggregation. JSM Mycotoxins. 59(2). 75–82. 10 indexed citations
2.
KATAGIRI, N., Kenji Abe, Iku Utsunomiya, et al.. (2009). Single administration of 1-benzyl-1,2,3,4-tetrahydroisoquinoline increases the extracellular concentration of dopamine in rat striatum. Neuroscience. 160(4). 820–828. 4 indexed citations
3.
Harada, Masahiro, Masanori Sugimoto, Yuki Hashimoto, et al.. (2009). The importance of brain PGE<SUB>2</SUB> inhibition versus paw PGE<SUB>2</SUB> inhibition as a mechanism for the separation of analgesic and antipyretic effects of lornoxicam in rats with paw inflammation. Journal of Pharmacy and Pharmacology. 61(5). 607–614. 10 indexed citations
4.
Nakatani, Yoshihiko, Iku Utsunomiya, Keiko Tanaka, et al.. (2008). Cav2.1 Voltage-dependent Ca2+ Channel Current is Inhibited by Serum from Select Patients with Guillain-Barré Syndrome. Neurochemical Research. 34(1). 149–157. 15 indexed citations
5.
Yamamoto, Masahiro, Satoshi Yamazaki, Yukio Yamada, et al.. (2008). Spontaneous platelet aggregation in normal subject assessed by a laser light scattering method: An attempt at standardization. Platelets. 19(4). 293–299. 6 indexed citations
6.
Hara, Masako, Tohru Abe, Sachiko Sugawara, et al.. (2007). Efficacy and safety of iguratimod compared with placebo and salazosulfapyridine in active rheumatoid arthritis: a controlled, multicenter, double-blind, parallel-group study. Modern Rheumatology. 17(1). 1–9. 76 indexed citations
7.
8.
Utsunomiya, Iku, et al.. (2006). Glycosylation and Cell Surface Expression of Kv1.2 Potassium Channel are Regulated by Determinants in the Pore Region. Neurochemical Research. 31(5). 589–596. 11 indexed citations
9.
Nakatani, Yoshihiko, Kazuyoshi Kawakami, Iku Utsunomiya, et al.. (2006). Ca<sup>2+</sup> Channel Currents Inhibited by Serum from Select Patients with Guillain-Barré Syndrome. European Neurology. 57(1). 11–18. 5 indexed citations
10.
Mizushima, Yutaka, Toshiyuki Ikoma, Keiko Hoshi, et al.. (2005). Injectable porous hydroxyapatite microparticles as a new carrier for protein and lipophilic drugs. Journal of Controlled Release. 110(2). 260–265. 156 indexed citations
11.
Iizuka, Toru, et al.. (2005). Antiplatelet Aggregatory Effects of the Constituents Isolated from the Flower of Carthamus tinctorius. 59(5). 241–244. 1 indexed citations
12.
Moriyama, Hiroyoshi, et al.. (2002). Antiplatelet Aggregating Activity of Extracts of Indonesian Medicinal Plants I. Natural medicines = 生薬學雜誌. 56(5). 178–183. 1 indexed citations
13.
Hoshi, Keiko, et al.. (2001). Intermittent Administration of Aspirin, Once or Twice a Week.. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 32(5). 223–230. 3 indexed citations
14.
Higaki, Megumu, et al.. (1998). Serum amyloid-A protein concentration in rheumatic disease.. Ensho. 18(2). 123–126. 1 indexed citations
15.
Furukawa, Hiroshi, et al.. (1994). Effect of nimesulide on murine collagen-induced arthritis.. Ensho. 14(1). 31–34. 1 indexed citations
16.
Mizushima, Yutaka & Keiko Hoshi. (1993). Review: Recent Advances in Lipid Microsphere Technology for Targeting Prostaglandin Delivery. Journal of drug targeting. 1(2). 93–100. 32 indexed citations
17.
Hoshi, Keiko & Yutaka Mizushima. (1990). A preliminary double-blind cross-over trial of lio-PGI2, A prostacyclin derivative incorporated in lipid microspheres, in cerebral infarction. Prostaglandins. 40(2). 155–164. 19 indexed citations
18.
19.
Hoshi, Keiko, et al.. (1987). Reaction of tin(II) chloride with bis(.BETA.-diketonato)copper complexes.. NIPPON KAGAKU KAISHI. 171–173. 1 indexed citations
20.
Matsuda, Takahide, et al.. (1981). Platelet aggregation in Behcet's disease. Ensho. 1(5). 693–693. 1 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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