Akihisa Maeda

1.3k total citations
31 papers, 930 citations indexed

About

Akihisa Maeda is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Akihisa Maeda has authored 31 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 9 papers in Cancer Research. Recurrent topics in Akihisa Maeda's work include Cell death mechanisms and regulation (11 papers), Reproductive Biology and Fertility (8 papers) and Carcinogens and Genotoxicity Assessment (5 papers). Akihisa Maeda is often cited by papers focused on Cell death mechanisms and regulation (11 papers), Reproductive Biology and Fertility (8 papers) and Carcinogens and Genotoxicity Assessment (5 papers). Akihisa Maeda collaborates with scholars based in Japan, United States and India. Akihisa Maeda's co-authors include Noboru MANABE, Naoko Inoue, Yasufumi Goto, Fuko MATSUDA‐MINEHATA, Kazuhiro Sakamaki, Takashi Miyano, Hidetoshi Kita, Kazuhiro Uemura, Yuan Cheng and Tapas Kumar Maji and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and Biology of Reproduction.

In The Last Decade

Akihisa Maeda

31 papers receiving 905 citations

Peers

Akihisa Maeda
Ji Zhou China
Saswati Banerjee United States
Dhiman Maitra United States
Anbalagan Moorthy India
Guoyu Zhang China
Michael Ronk United States
Haiqing Wang China
Sema Sentürker United States
R. L. Williams United States
Ji Zhou China
Akihisa Maeda
Citations per year, relative to Akihisa Maeda Akihisa Maeda (= 1×) peers Ji Zhou

Countries citing papers authored by Akihisa Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Akihisa Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihisa Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Akihisa Maeda. A scholar is included among the top collaborators of Akihisa Maeda 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 Akihisa Maeda. Akihisa Maeda 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.
Maeda, Akihisa, et al.. (2024). Description of pain associated with persistent postoperative pain after total knee arthroplasty. Scientific Reports. 14(1). 15217–15217. 5 indexed citations
2.
Hamada, Shuichi, Satoru Kawakami, Hajime Sui, et al.. (2019). Evaluation of the novel liver micronucleus assay using formalin-fixed tissues. Genes and Environment. 41(1). 13–13. 13 indexed citations
3.
Murano, Kenji, Hidehiko Kodama, Akihisa Maeda, et al.. (2018). Identification of novel plasminogen activator inhibitor-1 inhibitors with improved oral bioavailability: Structure optimization of N-acylanthranilic acid derivatives. Bioorganic & Medicinal Chemistry Letters. 28(4). 809–813. 14 indexed citations
4.
Maeda, Akihisa, Mayumi Nakajima, Kei Takahashi, et al.. (2017). Gene expression profiles in auricle skin as a possible additional endpoint for determination of sensitizers: A multi-endpoint evaluation of the local lymph node assay. Toxicology Letters. 280. 133–141. 3 indexed citations
5.
Johnson, George E., Mika Yamamoto, Yuta Suzuki, et al.. (2016). Measuring reproducibility of dose response data for the Pig-a assay using covariate benchmark dose analysis. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 811. 135–139. 11 indexed citations
6.
Maeda, Akihisa, et al.. (2015). Evaluation of red blood cell Pig-a assay and PIGRET assay in rats using chlorambucil. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 811. 91–96. 1 indexed citations
7.
Maeda, Akihisa, et al.. (2014). Immunosuppressive potential of bardoxolone methyl using a modified murine local lymph node assay (LLNA). The Journal of Toxicological Sciences. 39(4). 545–550. 3 indexed citations
8.
Maeda, Akihisa, et al.. (2014). Evaluation of the repeated-dose liver micronucleus assay using 2,4-dinitrotoluene: A report of a collaborative study by CSGMT/JEMS.MMS. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 780-781. 41–45. 4 indexed citations
9.
Oshida, Keiyu, et al.. (2011). Novel gene markers of immunosuppressive chemicals in mouse lymph node assay. Toxicology Letters. 205(1). 79–85. 5 indexed citations
10.
Oshida, Keiyu, et al.. (2011). Toxicological effect of emodin in mouse testicular gene expression profile. Journal of Applied Toxicology. 31(8). 790–800. 42 indexed citations
11.
Matsuda, Fuko, Yasufumi Goto, Akihisa Maeda, et al.. (2011). Effect of RNA Interference of BID and BAX mRNAs on Apoptosis in Granulosa Cell-derived KGN Cells. Journal of Reproduction and Development. 58(1). 112–116. 8 indexed citations
12.
Goto, Yasufumi, Akihisa Maeda, Fuko Matsuda, et al.. (2011). Bid and Bax Are Involved in Granulosa Cell Apoptosis During Follicular Atresia in Porcine Ovaries. Journal of Reproduction and Development. 57(3). 421–427. 35 indexed citations
13.
14.
Uemura, Kazuhiro, Akihisa Maeda, Tapas Kumar Maji, Prakash Kanoo, & Hidetoshi Kita. (2009). Syntheses, Crystal Structures and Adsorption Properties of Ultramicroporous Coordination Polymers Constructed from Hexafluorosilicate Ions and Pyrazine. European Journal of Inorganic Chemistry. 2009(16). 2329–2337. 103 indexed citations
15.
Maeda, Akihisa, Fuko Matsuda, Yasufumi Goto, et al.. (2008). Molecular Cloning of a Porcine (Sus scrofa) Apoptosis Inhibitory Ligand, Netrin-1, and Its Receptor, p53RDL1. Journal of Reproduction and Development. 54(4). 275–280. 8 indexed citations
16.
Maeda, Akihisa, Naoko Inoue, Fuko MATSUDA‐MINEHATA, et al.. (2007). The Role of Interleukin-6 in the Regulation of Granulosa Cell Apoptosis During Follicular Atresia in Pig Ovaries. Journal of Reproduction and Development. 53(3). 481–490. 50 indexed citations
17.
Cheng, Yuan, Akihisa Maeda, Yasufumi Goto, Fuko MATSUDA‐MINEHATA, & Noboru MANABE. (2007). Molecular Cloning of Porcine (Sus scrofa) Tumor Necrosis Factor Receptor 2. Journal of Reproduction and Development. 53(6). 1291–1297. 5 indexed citations
18.
Inoue, Naoko, Akihisa Maeda, Fuko MATSUDA‐MINEHATA, Katsuhiro FUKUTA, & Noboru MANABE. (2006). Expression and Localization of Fas Ligand and Fas During Atresia in Porcine Ovarian Follicles. Journal of Reproduction and Development. 52(6). 723–730. 43 indexed citations
19.
Tohma, Hirofumi, Akinobu Maruyama, Akihisa Maeda, et al.. (2004). Preparation and Reactivity of 1,3,5,7‐Tetrakis[4‐(diacetoxyiodo)phenyl]adamantane, a Recyclable Hypervalent Iodine(III) Reagent. Angewandte Chemie International Edition. 43(27). 3595–3598. 83 indexed citations
20.
Goto, Yasufumi, Fuko MATSUDA‐MINEHATA, Naoko Inoue, et al.. (2004). Porcine (Sus scrota) Cellular FLICE-like Inhibitory Protein (cFLIP): Molecular Cloning and Comparison with the Human and Murine cFLIP. Journal of Reproduction and Development. 50(5). 549–555. 30 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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