Akio Asai

6.4k total citations
144 papers, 4.5k citations indexed

About

Akio Asai is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Akio Asai has authored 144 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 34 papers in Genetics and 32 papers in Oncology. Recurrent topics in Akio Asai's work include Glioma Diagnosis and Treatment (33 papers), Cell death mechanisms and regulation (27 papers) and RNA Interference and Gene Delivery (20 papers). Akio Asai is often cited by papers focused on Glioma Diagnosis and Treatment (33 papers), Cell death mechanisms and regulation (27 papers) and RNA Interference and Gene Delivery (20 papers). Akio Asai collaborates with scholars based in Japan, United States and United Kingdom. Akio Asai's co-authors include Takaaki Kirino, Yoshiyuki Kuchino, Hirofumi Hamada, Nobusada Shinoura, Shunji Chi, Chifumi Kitanaka, Takamitsu Fujimaki, Toshihiro Mochizuki, Nobuhito Saito and Kohji Noguchi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Akio Asai

133 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akio Asai Japan 39 2.3k 902 842 626 534 144 4.5k
Nikolai G. Rainov Germany 31 1.7k 0.8× 749 0.8× 1.0k 1.2× 353 0.6× 358 0.7× 87 3.7k
Atsushi Natsume Japan 42 2.4k 1.1× 1.3k 1.5× 1.5k 1.7× 525 0.8× 457 0.9× 189 5.2k
Shin Jung South Korea 34 1.2k 0.5× 599 0.7× 987 1.2× 917 1.5× 815 1.5× 204 4.0k
Emilio Ciusani Italy 36 2.1k 0.9× 1.0k 1.1× 959 1.1× 302 0.5× 301 0.6× 152 4.7k
Jaume Mora Spain 36 3.1k 1.3× 1.2k 1.4× 593 0.7× 380 0.6× 1.4k 2.6× 216 5.5k
Shin‐Ichi Miyatake Japan 39 974 0.4× 678 0.8× 998 1.2× 491 0.8× 301 0.6× 165 4.4k
Giulio Maira Italy 41 2.1k 0.9× 1.1k 1.2× 1.7k 2.0× 952 1.5× 784 1.5× 123 6.1k
Federica Barbieri Italy 40 1.8k 0.8× 1.7k 1.8× 613 0.7× 712 1.1× 368 0.7× 111 4.3k
Barton A. Kamen United States 31 2.0k 0.9× 1.2k 1.3× 497 0.6× 204 0.3× 213 0.4× 99 5.1k
Darrell J. Yamashiro United States 42 3.4k 1.5× 942 1.0× 309 0.4× 284 0.5× 894 1.7× 128 5.6k

Countries citing papers authored by Akio Asai

Since Specialization
Citations

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

Fields of papers citing papers by Akio Asai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Asai

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Asai. A scholar is included among the top collaborators of Akio Asai 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 Akio Asai. Akio Asai 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.
Tamada, Atsushi, et al.. (2023). Survival and process outgrowth of human iPSC-derived cells expressing Purkinje cell markers in a mouse model for spinocerebellar degenerative disease. Experimental Neurology. 369. 114511–114511. 7 indexed citations
2.
Takeda, Jun‐ichi, et al.. (2022). 5-Aminolevulinic acid fluorescence-guided endoscopic surgery for intraventricular tumors. Surgical Neurology International. 13. 302–302. 7 indexed citations
3.
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5.
Takeda, Jun‐ichi, et al.. (2015). Primary CNS Angiosarcoma with repeated intracerebral hemorrhage: a case report. 22(1). 26–30. 1 indexed citations
6.
Asai, Akio, et al.. (2013). Fat necrosis appearing as intraorbital tumour: Case report. British Journal of Neurosurgery. 28(4). 525–527. 2 indexed citations
7.
Shinoura, Nobusada, T Furitsu, Akio Asai, Takaaki Kirino, & Hirofumi Hamada. (2002). Co-transduction of p27Kip1 strongly augments Fas ligand- and caspase-8-mediated apoptosis in U-373MG glioma cells.. PubMed. 21(5). 3261–8. 6 indexed citations
8.
Kurita, Hiroki, Nobutaka Kawahara, Akio Asai, et al.. (2001). Radiation-induced apoptosis of oligodendrocytes in the adult rat brain. Neurological Research. 23(8). 869–874. 65 indexed citations
9.
Shinoura, Nobusada, Shinya Sakurai, Akio Asai, Takaaki Kirino, & Hirofumi Hamada. (2001). Co‐transduction of Apaf‐1 and Caspase‐9 Augments Etoposide‐induced Apoptosis in U‐373MG Glioma Cells. Japanese Journal of Cancer Research. 92(4). 467–474. 14 indexed citations
10.
Shinoura, Nobusada, Naoki Yamamoto, Akio Asai, Takaaki Kirino, & Hirofumi Hamada. (2000). Adenovirus‐mediated Transfer of Fas Ligand Gene Augments Radiation‐induced Apoptosis in U‐373MG Glioma Cells. Japanese Journal of Cancer Research. 91(10). 1044–1050. 12 indexed citations
11.
Shinoura, Nobusada, Yoko Yoshida, Rikiya Tsunoda, et al.. (1999). Highly augmented cytopathic effect of a fiber-mutant E1B-defective adenovirus for gene therapy of gliomas.. PubMed. 59(14). 3411–6. 79 indexed citations
12.
Asai, Akio, Jianhua Qiu, Yoshitaka Narita, et al.. (1999). High Level Calcineurin Activity Predisposes Neuronal Cells to Apoptosis. Journal of Biological Chemistry. 274(48). 34450–34458. 141 indexed citations
13.
Chi, Shunji, Chifumi Kitanaka, Kohji Noguchi, et al.. (1999). Oncogenic Ras triggers cell suicide through the activation of a caspase-independent cell death program in human cancer cells. Oncogene. 18(13). 2281–2290. 211 indexed citations
14.
Kim, Phyo, Yuhei Yoshimoto, Hiroshi Nakaguchi, et al.. (1999). Increased Sarcolemmal Permeability in the Cerebral Artery during Chronic Spasm: An Assessment Using DNA-Binding Dyes and Detection of Apoptosis. Journal of Cerebral Blood Flow & Metabolism. 19(8). 889–897. 2 indexed citations
15.
Mishima, Kazuhiko, Akio Asai, Kenji Kadomatsu, et al.. (1997). Increased expression of midkine during the progression of human astrocytomas. Neuroscience Letters. 233(1). 29–32. 93 indexed citations
16.
Kitanaka, Chifumi, Kohji Noguchi, Toshihiro Mochizuki, et al.. (1997). A Functional Role for Death Proteases in s-Myc- and c-Myc-Mediated Apoptosis. Molecular and Cellular Biology. 17(11). 6736–6745. 63 indexed citations
17.
Nakagomi, Tadayoshi, Akio Asai, Hideaki Kanemitsu, et al.. (1996). Up-regulation of c-myc gene expression following focal ischemia in the rat brain. Neurological Research. 18(6). 559–563. 31 indexed citations
18.
Nakamura, Osamu, M Matsutani, Nobuyuki Shitara, et al.. (1994). New treatment protocol by intra-operative radiation therapy for metastatic brain tumours. Acta Neurochirurgica. 131(1-2). 91–96. 5 indexed citations
19.
Asai, Akio, Masao Matsutani, Takeshi Kohno, et al.. (1989). Subacute brain atrophy after radiation therapy for malignant brain tumor. Cancer. 63(10). 1962–1974. 137 indexed citations
20.
Asai, Akio, Masao Matsutani, Nobuaki Funada, & Kintomo Takakura. (1988). Malignant Growth Hormone-secreting Pituitary Adenoma with Hematogenous Dural Metastasis: Case Report. Neurosurgery. 22(6P1-P2). 1091–1094. 29 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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