Ai Kotani

1.5k total citations
51 papers, 1.0k citations indexed

About

Ai Kotani is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Ai Kotani has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 22 papers in Cancer Research and 15 papers in Immunology. Recurrent topics in Ai Kotani's work include MicroRNA in disease regulation (17 papers), Extracellular vesicles in disease (12 papers) and Immune Cell Function and Interaction (10 papers). Ai Kotani is often cited by papers focused on MicroRNA in disease regulation (17 papers), Extracellular vesicles in disease (12 papers) and Immune Cell Function and Interaction (10 papers). Ai Kotani collaborates with scholars based in Japan, United States and United Kingdom. Ai Kotani's co-authors include Tasuku Honjo, Il‐mi Okazaki, Toshiyuki Hori, Takashi Uchiyama, Yumi Matsumura, Harvey F. Lodish, Yuichiro Yamamoto, Masamichi Muramatsu, Arinobu Tojo and Masatoshi Kakizaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ai Kotani

50 papers receiving 995 citations

Peers

Ai Kotani

IMMUN

ONCOL

EPIDE

Katja Fiedler Germany

Wadie D. Mahauad‐Fernandez United States

Markus Duechler Poland

Qunying Yang China

Dominic Chih‐Cheng Voon Japan

Lomon So United States

Anja Krippner‐Heidenreich United Kingdom

Bellinda A. Bladergroen Netherlands

Heather Tillman United States

Konstantin Khetchoumian France

Katja Fiedler Germany

Ai Kotani

584 ×1.1

287 ×0.8

IMMUN

242 ×0.8

127 ×0.7

ONCOL

96 ×0.9

EPIDE

Citations per year, relative to Ai Kotani Ai Kotani (= 1×) peers Katja Fiedler

Countries citing papers authored by Ai Kotani

Since Specialization

Citations

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

Fields of papers citing papers by Ai Kotani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Kotani

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Kotani. A scholar is included among the top collaborators of Ai Kotani 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 Ai Kotani. Ai Kotani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kato, Hiroko, Akinori Ninomiya, Masaya Ueno, et al.. (2025). Revised model for cell cycle regulation by iron: differential roles between transferrin and ferritin. Redox Biology. 85. 103727–103727. 1 indexed citations

Hasegawa, Masanori, Joaquim Carreras, Yoshimi Miki, et al.. (2024). Unique lipid composition maintained by extracellular blockade leads to prooncogenicity. Cell Death Discovery. 10(1). 221–221. 2 indexed citations

Miki, Yoshimi, Joaquim Carreras, Yasushi Nakamoto, et al.. (2022). Secreted phospholipase A2 modifies extracellular vesicles and accelerates B cell lymphoma. Cell Metabolism. 34(4). 615–633.e8. 44 indexed citations

Yamamoto, Yuichiro, Joaquim Carreras, Masatoshi Kakizaki, et al.. (2022). Anti-HBV drug entecavir ameliorates DSS-induced colitis through PD-L1 induction. Pharmacological Research. 179. 105918–105918. 7 indexed citations

Ishihara, Sayaka, Tsuyoshi Sato, Haruka Saito, et al.. (2021). Rap1 Is Essential for B-Cell Locomotion, Germinal Center Formation and Normal B-1a Cell Population. Frontiers in Immunology. 12. 624419–624419. 1 indexed citations

Kakizaki, Masatoshi, Yuichiro Yamamoto, Kazuaki Kameda, et al.. (2021). Human hepatocyte-derived extracellular vesicles attenuate the carbon tetrachloride-induced acute liver injury in mice. Cell Death and Disease. 12(11). 1010–1010. 9 indexed citations

Kakizaki, Masatoshi, Yuichiro Yamamoto, Motoyuki Otsuka, et al.. (2020). Extracellular vesicles secreted by HBV-infected cells modulate HBV persistence in hydrodynamic HBV transfection mouse model. Journal of Biological Chemistry. 295(35). 12449–12460. 22 indexed citations

Kotaki, Ryutaro, M. Kawashima, Asuka Yamaguchi, et al.. (2020). Overexpression of miR-669m inhibits erythroblast differentiation. Scientific Reports. 10(1). 13554–13554. 10 indexed citations

Kakizaki, Masatoshi, et al.. (2018). The immunological function of extracellular vesicles in hepatitis B virus-infected hepatocytes. PLoS ONE. 13(12). e0205886–e0205886. 60 indexed citations

10.

Kotaki, Ryutaro, Hiroshi Higuchi, & Ai Kotani. (2017). Ibrutinib As a Possible Therapeutic Strategy for Epstein-Barr Virus-Positive Lymphoma/Leukemia. Blood. 130. 1537–1537. 1 indexed citations

11.

Kotaki, Ryutaro, Hiroshi Higuchi, Jun Ogata, et al.. (2017). Imbalanced expression of polycistronic miRNA in acute myeloid leukemia. International Journal of Hematology. 106(6). 811–819. 4 indexed citations

12.

Lu, Jun, Shigeyoshi Oba, Toyotaka Kawamata, et al.. (2016). miR-133 regulates Evi1 expression in AML cells as a potential therapeutic target. Scientific Reports. 6(1). 19204–19204. 25 indexed citations

13.

Yamakawa, Natsuko, Kazuki Okuyama, Jun Ogata, et al.. (2014). Novel functional small RNAs are selectively loaded onto mammalian Ago1. Nucleic Acids Research. 42(8). 5289–5301. 21 indexed citations

14.

Kawamata, Toyotaka, Jun Lü, Tadayuki Sato, et al.. (2012). Imatinib mesylate directly impairs class switch recombination through down-regulation of AID: its potential efficacy as an AID suppressor. Blood. 119(13). 3123–3127. 5 indexed citations

15.

Kotani, Ai, et al.. (2010). A novel mutation in the miR-128b gene reduces miRNA processing and leads to glucocorticoid resistance of MLL-AF4 Acute Lymphocytic Leukemia cells. Cell Cycle. 9(6). 1037–1042. 5 indexed citations

16.

Lodish, Harvey F., et al.. (2010). Alteration of processing induced by a single nucleotide polymorphism in pri-miR-126. Biochemical and Biophysical Research Communications. 399(2). 117–122. 38 indexed citations

17.

Okazaki, Il‐mi, Ai Kotani, & Tasuku Honjo. (2007). Role of AID in Tumorigenesis. Advances in immunology. 94. 245–273. 111 indexed citations

18.

Kotani, Ai, Il‐mi Okazaki, Masamichi Muramatsu, et al.. (2005). A target selection of somatic hypermutations is regulated similarly between T and B cells upon activation-induced cytidine deaminase expression. Proceedings of the National Academy of Sciences. 102(12). 4506–4511. 60 indexed citations

19.

Kotani, Ai, Toshiyuki Hori, Yumi Matsumura, & Takashi Uchiyama. (2002). Signaling of gp34 (OX40 ligand) induces vascular endothelial cells to produce a CC chemokine RANTES/CCL5. Immunology Letters. 84(1). 1–7. 50 indexed citations

20.

Kotani, Ai, Atsushi Takahashi, Hidenao Fukuyama, et al.. (2002). Myasthenia gravis after allogeneic bone marrow transplantation treated with mycophenolate mofetil monitored by peripheral blood OX40⁺ CD4⁺ T cells. European Journal Of Haematology. 69(5-6). 318–320. 8 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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