Ayako Kobayashi

1.6k total citations
74 papers, 1.1k citations indexed

About

Ayako Kobayashi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ayako Kobayashi has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 15 papers in Immunology and 11 papers in Oncology. Recurrent topics in Ayako Kobayashi's work include Immune Cell Function and Interaction (6 papers), Invertebrate Immune Response Mechanisms (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Ayako Kobayashi is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Invertebrate Immune Response Mechanisms (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Ayako Kobayashi collaborates with scholars based in Japan, France and United States. Ayako Kobayashi's co-authors include Shunji Natori, Takeo Kubo, Shoichiro Kurata, Masatomo Maeda, Shohei Hori, Kazuo Shiomi, Yukihiro Kobayashi, Yuji Nagashima, Hiroyuki Tanaka and Shoichiro Ishizaki and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Ayako Kobayashi

67 papers receiving 1.1k citations

Peers

Ayako Kobayashi
Ayako Kobayashi
Citations per year, relative to Ayako Kobayashi Ayako Kobayashi (= 1×) peers Huaping Tang

Countries citing papers authored by Ayako Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Ayako Kobayashi. A scholar is included among the top collaborators of Ayako Kobayashi 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 Ayako Kobayashi. Ayako Kobayashi 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.
Fujihara, Kazuya, MAYUKO H. YAMADA, Ayako Kobayashi, et al.. (2024). Coronary artery disease risk prediction by combined stratification of low‐density lipoprotein‐cholesterol and high‐density lipoprotein‐cholesterol levels across different glucose statuses. Diabetes Obesity and Metabolism. 26(12). 5845–5856. 1 indexed citations
2.
Kobayashi, Ayako, et al.. (2023). Baseline and seasonal trends of Bacillus cereus and Bacillus subtilis from clinical samples in Japan. Infection Prevention in Practice. 5(2). 100272–100272. 6 indexed citations
3.
Yamamoto, Mizuki, Takeshi Ichinohe, Aya Watanabe, et al.. (2020). The Antimalarial Compound Atovaquone Inhibits Zika and Dengue Virus Infection by Blocking E Protein-Mediated Membrane Fusion. Viruses. 12(12). 1475–1475. 11 indexed citations
4.
Watanabe, Junichi, Ken Sato, Takaaki Maekawa, et al.. (2018). CBL mutation and MEFV single-nucleotide variant are important genetic predictors of tumor reduction in glucocorticoid-treated patients with chronic myelomonocytic leukemia. International Journal of Hematology. 108(1). 47–57.
5.
Maekawa, Takaaki, S Nagao, Yosuke Okada, et al.. (2017). Myeloproliferative leukemia protein activation directly induces fibrocyte differentiation to cause myelofibrosis. Leukemia. 31(12). 2709–2716. 17 indexed citations
6.
Kubota, Hiroyuki, Ayako Kobayashi, Yukihiro Kobayashi, Kazuo Shiomi, & Naoko Hamada‐Sato. (2016). Reduction in IgE reactivity of Pacific mackerel parvalbumin by heat treatment. Food Chemistry. 206. 78–84. 38 indexed citations
7.
Watanabe, Junichi, Ken Sato, Takaaki Maekawa, et al.. (2014). Elevated total iron-binding capacity as a predictor of response to deferasirox therapy in the setting of chronic iron overload. International Journal of Hematology. 100(3). 254–259. 1 indexed citations
8.
Sakamoto, Kana, Hideki Nakasone, Ko Sasaki, et al.. (2013). Prednisone versus high-dose dexamethasone for untreated primary immune thrombocytopenia. A retrospective study of the Japan Hematology & Oncology Clinical Study Group. Journal of Thrombosis and Thrombolysis. 37(3). 279–286. 20 indexed citations
9.
Ogata, Sho, Sadayuki Hiroi, Akira Tominaga, et al.. (2009). Malignant pleural mesothelioma initially diagnosed on cervical lymph node biopsy. Pathology International. 59(8). 592–594. 3 indexed citations
10.
Kobayashi, Ayako, Hiroyuki Tanaka, Yuki Hamada, et al.. (2006). Comparison of allergenicity and allergens between fish white and dark muscles. Allergy. 61(3). 357–363. 91 indexed citations
11.
Ishida, Akiko, et al.. (2005). Characterization of cAMP-dependent proteolysis of GATA-6. Biochemical and Biophysical Research Communications. 332(4). 976–981. 11 indexed citations
12.
Goda, Yasuhiro, et al.. (2004). Development of enzyme-linked immunosorbent assay for detection of alkylphenol polyethoxylates and their biodegradation products. Water Research. 38(20). 4323–4330. 20 indexed citations
13.
Nishikawa, Takeshi, Ayako Kobayashi, & Shunji Natori. (2001). Cloning of cDNA for Cathepsin B mRNA 3'-Untranslated-Region-Binding Protein (CBBP), and Characterization of Recombinant CBBP. The Journal of Biochemistry. 129(3). 485–490.
14.
Nakagawa, Reiko, Yuko Sakai, Akiko Takashima, et al.. (2001). GATA DNA-Binding Protein Expressed in Mouse I-10 Leydig Testicular Tumor Cells. Biochemical and Biophysical Research Communications. 283(2). 412–416. 8 indexed citations
15.
Natori, Shunji, Hirohisa Shiraishi, Shohei Hori, & Ayako Kobayashi. (1999). The roles of Sarcophaga defense molecules in immunity and metamorphosis. Developmental & Comparative Immunology. 23(4-5). 317–328. 50 indexed citations
16.
Hori, Shohei, Ayako Kobayashi, & Shunji Natori. (1997). Monoclonal Antibodies against Pupa-Specific Surface Antigens ofSarcophaga peregrina(Flesh Fly) Hemocytes. Biochemical and Biophysical Research Communications. 236(2). 497–501. 11 indexed citations
17.
Kobayashi, Ayako, et al.. (1997). Inhibition of Protein Tyrosine Kinase by 5-S-GAD, a Novel Antibacterial Substance from an Insect. Biochemical and Biophysical Research Communications. 237(2). 423–426. 8 indexed citations
18.
Kubo, Takeo, et al.. (1996). Purification, Characterization, and cDNA Cloning of a Galactose-specific C-Type Lectin from Drosophila melanogaster. Journal of Biological Chemistry. 271(33). 20213–20218. 54 indexed citations
19.
Leem, Jae Yoon, Chiaki Nishimura, Shoichiro Kurata, et al.. (1996). Purification and Characterization of N-β-Alanyl-5-S-glutathionyl-3,4-dihydroxyphenylalanine, a Novel Antibacterial Substance of Sarcophaga peregrina (Flesh Fly). Journal of Biological Chemistry. 271(23). 13573–13577. 49 indexed citations
20.
Kobayashi, Ayako, Takeshi Horai, Hiroshi Tamura, Ryuhei Tateishi, & Haruo Taniguchi. (1977). Small Cell Carcinoma of the Esophagus. The Journal of the Japanese Society of Clinical Cytology. 16(1). 56–60. 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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