Mikio Aoki

1.2k total citations
42 papers, 904 citations indexed

About

Mikio Aoki is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Mikio Aoki has authored 42 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Physiology and 8 papers in Immunology. Recurrent topics in Mikio Aoki's work include Alzheimer's disease research and treatments (11 papers), Computational Drug Discovery Methods (4 papers) and Immune Cell Function and Interaction (4 papers). Mikio Aoki is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Computational Drug Discovery Methods (4 papers) and Immune Cell Function and Interaction (4 papers). Mikio Aoki collaborates with scholars based in Japan, Sweden and United Kingdom. Mikio Aoki's co-authors include Bengt Winblad, Lars O. Tjernberg, Tōru Kimura, Nenad Bogdanović, Inga Volkmann, Susanne Frykman, Jenny Frånberg, Ji‐Yeun Hur, Homira Behbahani and Hedvig Welander and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemistry.

In The Last Decade

Mikio Aoki

38 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikio Aoki Japan 18 435 366 116 88 86 42 904
Rob Zwart Netherlands 18 400 0.9× 374 1.0× 102 0.9× 55 0.6× 163 1.9× 31 1.0k
Anita Hong United States 13 511 1.2× 456 1.2× 139 1.2× 47 0.5× 57 0.7× 16 1.6k
Albena Momchilova Bulgaria 20 677 1.6× 176 0.5× 59 0.5× 48 0.5× 72 0.8× 91 1.1k
Xiuli Ma China 15 462 1.1× 229 0.6× 71 0.6× 87 1.0× 107 1.2× 29 1.0k
Sharad Mistry United Kingdom 17 723 1.7× 181 0.5× 240 2.1× 55 0.6× 89 1.0× 34 1.2k
Céline Morissette Canada 14 434 1.0× 489 1.3× 128 1.1× 164 1.9× 44 0.5× 21 1.2k
Antonio Gaballo Italy 20 711 1.6× 177 0.5× 106 0.9× 93 1.1× 205 2.4× 41 1.3k
Manuel J. Santos Chile 15 941 2.2× 295 0.8× 85 0.7× 194 2.2× 107 1.2× 41 1.5k
Dexin Sui United States 20 411 0.9× 194 0.5× 55 0.5× 47 0.5× 184 2.1× 32 1.1k
Elaine V. Wilson United Kingdom 11 399 0.9× 385 1.1× 151 1.3× 35 0.4× 91 1.1× 15 992

Countries citing papers authored by Mikio Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Mikio Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikio Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Mikio Aoki. A scholar is included among the top collaborators of Mikio Aoki 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 Mikio Aoki. Mikio Aoki 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.
Kondo, Hiroya, S Iino, Takako Fukuda, et al.. (2025). Time-course analysis of the effect of paraprobiotics ABG0050 on the intestinal immune system of broilers. Poultry Science. 104(7). 105174–105174. 1 indexed citations
2.
Kuwahara, Hiroshi, et al.. (2024). Development and validation of LC/MS/MS quantification method for plantaricins in culture supernatant. SHILAP Revista de lepidopterología. 4. 100043–100043.
3.
Kuwahara, Hiroshi, et al.. (2024). Identification and characterization of a circular bacteriocin, garvicin SC, a novel garvicin ML variant, produced by Lactococcus garvieae ABG0038. Journal of Bioscience and Bioengineering. 139(2). 95–99. 2 indexed citations
4.
5.
Okanoue, Takeshi, Hayao Ebise, Toshihiro Kai, et al.. (2017). A simple scoring system using type IV collagen 7S and aspartate aminotransferase for diagnosing nonalcoholic steatohepatitis and related fibrosis. Journal of Gastroenterology. 53(1). 129–139. 45 indexed citations
6.
7.
Mikami, Toshiyuki, Mikio Aoki, & Tōru Kimura. (2012). The Application of Mass Spectrometry to Proteomics and Metabolomics in Biomarker Discovery and Drug Development. Current Molecular Pharmacology. 5(2). 301–316. 36 indexed citations
8.
Hashimoto, Masakazu, Mikio Aoki, Bengt Winblad, & Lars O. Tjernberg. (2012). A novel approach for Aβ1–40 quantification using immuno-PCR. Journal of Neuroscience Methods. 205(2). 364–367. 13 indexed citations
9.
10.
Hashimoto, Masakazu, Nenad Bogdanović, Hiroyuki Nakagawa, et al.. (2011). Analysis of microdissected neurons by 18O mass spectrometry reveals altered protein expression in Alzheimer's disease. Journal of Cellular and Molecular Medicine. 16(8). 1686–1700. 32 indexed citations
11.
Biffen, Mark, Hiroyuki Matsui, Andrew J. Leishman, et al.. (2011). Biological characterization of a novel class of toll‐like receptor 7 agonists designed to have reduced systemic activity. British Journal of Pharmacology. 166(2). 573–586. 30 indexed citations
12.
Aoki, Mikio, et al.. (2011). Galactomannan from Caesalpinia spinosa induces phenotypic and functional maturation of human dendritic cells. International Immunopharmacology. 11(6). 652–660. 37 indexed citations
13.
Tomioka, Ikuo, Takuji Maeda, Hiroko Shimada, et al.. (2010). Generating induced pluripotent stem cells from common marmoset (Callithrix jacchus) fetal liver cells using defined factors, including Lin28. Genes to Cells. 15(9). 959–969. 101 indexed citations
14.
Frykman, Susanne, Ji‐Yeun Hur, Jenny Frånberg, et al.. (2010). Synaptic and Endosomal Localization of Active γ-Secretase in Rat Brain. PLoS ONE. 5(1). e8948–e8948. 44 indexed citations
15.
Nahálková, Jarmila, Inga Volkmann, Mikio Aoki, et al.. (2009). CD147, a γ-secretase associated protein is upregulated in Alzheimer's disease brain and its cellular trafficking is affected by presenilin-2. Neurochemistry International. 56(1). 67–76. 29 indexed citations
16.
Rönnbäck, Annica, Shunwei Zhu, Karin Dillner, et al.. (2009). Progressive neuropathology and cognitive decline in a single Arctic APP transgenic mouse model. Neurobiology of Aging. 32(2). 280–292. 39 indexed citations
17.
Aoki, Mikio, Inga Volkmann, Lars O. Tjernberg, Bengt Winblad, & Nenad Bogdanović. (2008). Amyloid β-peptide levels in laser capture microdissected cornu ammonis 1 pyramidal neurons of Alzheimer's brain. Neuroreport. 19(11). 1085–1089. 43 indexed citations
18.
Hur, Ji‐Yeun, Hedvig Welander, Homira Behbahani, et al.. (2008). Active γ‐secretase is localized to detergent‐resistant membranes in human brain. FEBS Journal. 275(6). 1174–1187. 84 indexed citations
19.
Murata, Masashi, et al.. (2007). SMP-105, cell-wall skeleton purified from Mycobacterium bovis BCG Tokyo 172, activates innate immunity through TLR2/MyD88 pathway and prevents tumor metastasis into draining lymph nodes. Cancer Research. 67. 3554–3554. 1 indexed citations
20.
Aoki, Mikio, Takayuki Ishii, Masaharu Kanaoka, & Tōru Kimura. (2006). RNA interference in immune cells by use of osmotic delivery of siRNA. Biochemical and Biophysical Research Communications. 341(2). 326–333. 17 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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