Yurika Miyake

760 total citations
8 papers, 638 citations indexed

About

Yurika Miyake is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Yurika Miyake has authored 8 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Organic Chemistry. Recurrent topics in Yurika Miyake's work include Sphingolipid Metabolism and Signaling (3 papers), Asthma and respiratory diseases (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Yurika Miyake is often cited by papers focused on Sphingolipid Metabolism and Signaling (3 papers), Asthma and respiratory diseases (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Yurika Miyake collaborates with scholars based in Japan. Yurika Miyake's co-authors include Toshisuke Kawasaki, Yasunori Kozutsumi, Tetsuro Fujita, Satoshi Nakamura, Fumio Tsuji, Hiroyuki Aono, Yoshiyuki Kawashima, S. Mita, Sachiko Nakamura and Masato Horiuchi and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and European Journal of Biochemistry.

In The Last Decade

Yurika Miyake

8 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yurika Miyake Japan	6	448	137	114	72	58	8	638
Roger E. Ganschow United States	13	438 1.0×	91 0.7×	114 1.0×	57 0.8×	44 0.8×	19	756
A R Saltiel United States	11	440 1.0×	101 0.7×	117 1.0×	44 0.6×	31 0.5×	13	730
Lanmin Zhai United States	12	383 0.9×	79 0.6×	141 1.2×	49 0.7×	33 0.6×	16	652
Kaoru Nishiyama Japan	14	710 1.6×	198 1.4×	131 1.1×	29 0.4×	36 0.6×	33	1.1k
Ryo Taguchi Japan	10	492 1.1×	141 1.0×	121 1.1×	25 0.3×	52 0.9×	16	680
Beth A. Strifler United States	10	655 1.5×	114 0.8×	85 0.7×	24 0.3×	22 0.4×	10	895
Robert R. Lavieri United States	11	440 1.0×	114 0.8×	45 0.4×	63 0.9×	29 0.5×	17	685
Luciana B. Gentile Brazil	10	348 0.8×	60 0.4×	72 0.6×	39 0.5×	31 0.5×	21	642
Hans Kunze Germany	12	302 0.7×	87 0.6×	122 1.1×	65 0.9×	20 0.3×	21	564
R E Ganschow United States	11	405 0.9×	121 0.9×	250 2.2×	56 0.8×	26 0.4×	13	747

Countries citing papers authored by Yurika Miyake

Since Specialization

Citations

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

Fields of papers citing papers by Yurika Miyake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yurika Miyake

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

All Works

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8 of 8 papers shown

Enomoto, Hiroshi, et al.. (2008). Synthesis and biological evaluation of N-mercaptoacylproline and N-mercaptoacylthiazolidine-4-carboxylic acid derivatives as leukotriene A4 hydrolase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(16). 4529–4532. 5 indexed citations

Enomoto, Hiroshi, et al.. (2008). Synthesis and biological evaluation of N-mercaptoacylcysteine derivatives as leukotriene A4 hydrolase inhibitors. Bioorganic & Medicinal Chemistry Letters. 19(2). 442–446. 9 indexed citations

Tsuji, Fumio, Yurika Miyake, Hiroyuki Aono, Yoshiyuki Kawashima, & S. Mita. (1999). Effects of bucillamine and N-acetyl-l-cysteine on cytokine production and collagen-induced arthritis (CIA). Clinical & Experimental Immunology. 115(1). 26–31. 62 indexed citations

Tsuji, Fumio, Yurika Miyake, Hiroshi Enomoto, Masato Horiuchi, & Shiro Mita. (1998). Effects of SA6541, a leukotriene A4 hydrolase inhibitor, and indomethacin on carrageenan-induced murine dermatitis. European Journal of Pharmacology. 346(1). 81–85. 17 indexed citations

Tsuji, Fumio, Yurika Miyake, Masato Horiuchi, & Shiro Mita. (1998). Involvement of Leukotriene B4 in Murine Dermatitis Models. Biochemical Pharmacology. 55(3). 297–304. 22 indexed citations

Yamaji, Toshiyuki, Yurika Miyake, Yasunori Kozutsumi, & Toshisuke Kawasaki. (1997). Neutral Glycosphingolipids Induce Cell‐Cell Aggregation of a Variety of Hematopoietic Cell Lines. European Journal of Biochemistry. 247(1). 21–29. 2 indexed citations

Nakamura, Sachiko, Yasunori Kozutsumi, Yidi Sun, et al.. (1996). Dual Roles of Sphingolipids in Signaling of the Escape from and Onset of Apoptosis in a Mouse Cytotoxic T-cell Line, CTLL-2. Journal of Biological Chemistry. 271(3). 1255–1257. 62 indexed citations

Miyake, Yurika, Yasunori Kozutsumi, Satoshi Nakamura, Tetsuro Fujita, & Toshisuke Kawasaki. (1995). Serine Palmitoyltransferase Is the Primary Target of a Sphingosine-like Immunosuppressant, ISP-1/Myriocin. Biochemical and Biophysical Research Communications. 211(2). 396–403. 459 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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