Yuko Mitobe

497 total citations
24 papers, 331 citations indexed

About

Yuko Mitobe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology and Allergy. According to data from OpenAlex, Yuko Mitobe has authored 24 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Immunology and Allergy. Recurrent topics in Yuko Mitobe's work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (7 papers) and Allergic Rhinitis and Sensitization (6 papers). Yuko Mitobe is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (7 papers) and Allergic Rhinitis and Sensitization (6 papers). Yuko Mitobe collaborates with scholars based in Japan and United States. Yuko Mitobe's co-authors include Nagaaki Sato, Shigeru Tokita, Sayaka Ito, Tsuyoshi Nagase, Takashi Mizutani, Akane Ishihara, Takehiro Fukami, Akio Kanatani, Hisashi Iwaasa and Junko Itô and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Journal of Medicinal Chemistry and European Journal of Pharmacology.

In The Last Decade

Yuko Mitobe

22 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuko Mitobe Japan 10 167 142 57 50 33 24 331
Minghua Sun United States 9 134 0.8× 127 0.9× 56 1.0× 18 0.4× 25 0.8× 18 312
Heather Coate United States 9 80 0.5× 172 1.2× 16 0.3× 99 2.0× 15 0.5× 13 331
Kiev S. Ly United States 8 91 0.5× 183 1.3× 199 3.5× 18 0.4× 32 1.0× 12 340
Maryse Labarre Canada 7 119 0.7× 258 1.8× 49 0.9× 246 4.9× 20 0.6× 7 515
S. Tozzi United Kingdom 11 91 0.5× 122 0.9× 94 1.6× 38 0.8× 12 0.4× 16 359
Małgorzata Więcek Poland 13 199 1.2× 157 1.1× 85 1.5× 40 0.8× 7 0.2× 24 376
Jose L. Font United States 6 137 0.8× 188 1.3× 14 0.2× 64 1.3× 8 0.2× 8 344
Ilia Korboukh United States 11 139 0.8× 212 1.5× 29 0.5× 23 0.5× 16 0.5× 14 460
Nakisa Ghamari Iran 6 297 1.8× 90 0.6× 44 0.8× 8 0.2× 5 0.2× 10 399
Timothy F. Herpin United States 8 141 0.8× 123 0.9× 18 0.3× 17 0.3× 64 1.9× 12 275

Countries citing papers authored by Yuko Mitobe

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Mitobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Mitobe

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Mitobe. A scholar is included among the top collaborators of Yuko Mitobe 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 Yuko Mitobe. Yuko Mitobe 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.
Tatsuzawa, Fumi, et al.. (2024). Flower colors and their anthocyanins in Platycodon grandiflorus (Jacq.) A. DC. (Campanulaceae). Phytochemistry Letters. 61. 125–134.
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Momoeda, Mikio, et al.. (2024). Cost-effectiveness of ferric citrate hydrate in patients with iron deficiency anemia. International Journal of Hematology. 121(4). 467–475. 1 indexed citations
5.
Mitobe, Yuko, et al.. (2023). Flower Colors and Flavonoids in the Cultivars of <i>Verbena hybrida</i>. The Horticulture Journal. 92(3). 323–334. 1 indexed citations
6.
Ito, Kyoko, Yuko Mitobe, Ryo Inoüe, & Mikio Momoeda. (2023). Impact of nausea/vomiting on EQ-5D-5L utility scores in patients taking iron preparations for heavy menstrual bleeding or anemia. BMC Women s Health. 23(1). 505–505. 5 indexed citations
7.
Ohashi‐Doi, Katsuyo, et al.. (2022). Japanese Cedar Pollen Allergens in Japan. Current Protein and Peptide Science. 23(12). 837–850. 3 indexed citations
8.
Tanaka, Yuya, et al.. (2020). Association between Der p 23 and asthma in children sensitized to house dust mite. Journal of Allergy and Clinical Immunology. 145(2). AB38–AB38. 1 indexed citations
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Okafuji, Ikuo, et al.. (2019). [DIFFERENCE BETWEEN STANDARDIZED MITE ANTIGEN AND HOUSE DUST EXTRACT IN RUSH SUBCUTANEOUS IMMUNOTHERAPY FOR CHILDREN].. PubMed. 68(6). 681–690. 1 indexed citations
11.
Moriya, Ryuichi, Satoshi Mashiko, Akane Ishihara, et al.. (2009). Comparison of independent and combined chronic anti-obese effects of NPY Y2 receptor agonist, PYY(3-36), and NPY Y5 receptor antagonist in diet-induced obese mice. Peptides. 30(7). 1318–1322. 15 indexed citations
12.
Mitobe, Yuko, Sayaka Ito, Takashi Mizutani, et al.. (2009). Development of a selective and potent radioactive ligand for histamine H3 receptors: A compound potentially useful for receptor occupancy studies. Bioorganic & Medicinal Chemistry Letters. 19(15). 4075–4078. 71 indexed citations
13.
Ando, Makoto, Nagaaki Sato, Tsuyoshi Nagase, et al.. (2009). Discovery of pyridone-containing imidazolines as potent and selective inhibitors of neuropeptide Y Y5 receptor. Bioorganic & Medicinal Chemistry. 17(16). 6106–6122. 16 indexed citations
14.
Haga, Yuji, Takunobu Shibata, Katsumasa Nonoshita, et al.. (2009). Identification of positron emission tomography ligands for NPY Y5 receptors in the brain. Bioorganic & Medicinal Chemistry Letters. 19(18). 5436–5439. 4 indexed citations
15.
Takahashi, Toshiyuki, Tsuyoshi Nagase, Takashi Mizutani, et al.. (2009). Synthesis, structure–activity relationships, and biological profiles of a dihydrobenzoxathiin class of histamine H3 receptor inverse agonists. Bioorganic & Medicinal Chemistry Letters. 19(15). 4232–4236. 7 indexed citations
16.
Ogino, Yoshio, Norikazu Ohtake, Kenji Matsuda, et al.. (2008). Syntheses and structure–activity relationships of novel, potent, and selective trans-2-[3-oxospiro[isobenzofuran-1(3H),1′-cyclohexan]-4′-yl]benzimidazole NPY Y5 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 18(18). 4997–5001. 19 indexed citations
17.
Mashiko, Satoshi, Akane Ishihara, Hisashi Iwaasa, et al.. (2008). Effects of a Novel Y5 Antagonist in Obese Mice: Combination With Food Restriction or Sibutramine. Obesity. 16(7). 1510–1515. 24 indexed citations
18.
Ogino, Yoshio, Norikazu Ohtake, Kenji Matsuda, et al.. (2008). Design, syntheses, and structure–activity relationships of novel NPY Y5 receptor antagonists: 2-{3-Oxospiro[isobenzofuran-1(3H),4′-piperidin]-1′-yl}benzimidazole derivatives. Bioorganic & Medicinal Chemistry Letters. 18(18). 5010–5014. 42 indexed citations
19.
Nagase, Tsuyoshi, Takashi Mizutani, Shiho Ishikawa, et al.. (2008). Synthesis, Structure−Activity Relationships, and Biological Profiles of a Quinazolinone Class of Histamine H3Receptor Inverse Agonists. Journal of Medicinal Chemistry. 51(15). 4780–4789. 66 indexed citations
20.
Ito, Sayaka, Ryo Yoshimoto, Yasuhisa Miyamoto, et al.. (2005). Detailed pharmacological characterization of GT-2331 for the rat histamine H3 receptor. European Journal of Pharmacology. 529(1-3). 40–46. 15 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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