Takuma Irie

2.8k total citations
18 papers, 668 citations indexed

About

Takuma Irie is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Takuma Irie has authored 18 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Oncology. Recurrent topics in Takuma Irie's work include RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (5 papers). Takuma Irie is often cited by papers focused on RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (5 papers). Takuma Irie collaborates with scholars based in Japan, United Kingdom and United States. Takuma Irie's co-authors include Yutaka Suzuki, Hiroyoshi Nishikawa, Hidenori Tani, Rena Mizutani, Naoto Imamachi, Nobuyoshi Akimitsu, Kota Itahashi, Tetsushi Yada, Kazi Abdus Salam and Kenichi Ijiri and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Clinical Cancer Research.

In The Last Decade

Takuma Irie

17 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuma Irie Japan 12 421 203 172 92 44 18 668
Xiaoqing Han China 16 308 0.7× 244 1.2× 234 1.4× 121 1.3× 51 1.2× 28 681
Orli Yogev Israel 9 362 0.9× 123 0.6× 140 0.8× 115 1.3× 30 0.7× 11 645
Leonie Smeenk Netherlands 14 567 1.3× 162 0.8× 271 1.6× 124 1.3× 17 0.4× 19 838
Queralt Seguín-Estévez Switzerland 12 295 0.7× 344 1.7× 76 0.4× 119 1.3× 23 0.5× 13 652
Ryan T. Bishop United Kingdom 11 214 0.5× 75 0.4× 146 0.8× 88 1.0× 58 1.3× 25 417
Barbara Pratscher Austria 14 313 0.7× 111 0.5× 183 1.1× 75 0.8× 103 2.3× 36 551
Xuan-Xian Peng China 11 401 1.0× 304 1.5× 96 0.6× 61 0.7× 17 0.4× 12 692
Gaelle Kustermans Belgium 10 185 0.4× 147 0.7× 66 0.4× 80 0.9× 36 0.8× 10 444
Bahram Razani United States 9 354 0.8× 286 1.4× 82 0.5× 281 3.1× 21 0.5× 12 638
Sebastian Wienerroither Austria 10 474 1.1× 180 0.9× 84 0.5× 46 0.5× 13 0.3× 12 693

Countries citing papers authored by Takuma Irie

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Irie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Irie

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

All Works

18 of 18 papers shown
1.
Nishinakamura, Hitomi, Takuma Irie, Takeo Naito, et al.. (2025). Coactivation of innate immune suppressive cells induces acquired resistance against combined TLR agonism and PD-1 blockade. Science Translational Medicine. 17(785). eadk3160–eadk3160. 8 indexed citations
2.
Kadota, Tomohiro, Rika Fujii, Shohei Koyama, et al.. (2025). A phase Ib study of photoimmunotherapy with ASP-1929 in combination with nivolumab for advanced gastric cancer (GE-PIT, EPOC1901). Gastric Cancer. 28(4). 718–724. 1 indexed citations
3.
Itahashi, Kota, Takuma Irie, Junichiro Yuda, et al.. (2022). BATF epigenetically and transcriptionally controls the activation program of regulatory T cells in human tumors. Science Immunology. 7(76). eabk0957–eabk0957. 60 indexed citations
4.
Itahashi, Kota, Takuma Irie, & Hiroyoshi Nishikawa. (2022). Regulatory T‐cell development in the tumor microenvironment. European Journal of Immunology. 52(8). 1216–1227. 52 indexed citations
5.
Maeda, Yuka, Hisashi Wada, Daisuke Sugiyama, et al.. (2021). Depletion of central memory CD8+ T cells might impede the antitumor therapeutic effect of Mogamulizumab. Nature Communications. 12(1). 7280–7280. 29 indexed citations
6.
Togashi, Yosuke, Shota Fukuoka, Kiwamu Akagi, et al.. (2021). Importance of lymph node immune responses in MSI-H/dMMR colorectal cancer. JCI Insight. 6(9). 26 indexed citations
7.
Tanegashima, Tokiyoshi, Yosuke Togashi, Koichi Azuma, et al.. (2019). Immune Suppression by PD-L2 against Spontaneous and Treatment-Related Antitumor Immunity. Clinical Cancer Research. 25(15). 4808–4819. 69 indexed citations
8.
Liu, Ying, Takuma Irie, Tetsushi Yada, & Yutaka Suzuki. (2017). A new computational method to predict transcriptional activity of a DNA sequence from diverse datasets of massively parallel reporter assays. Nucleic Acids Research. 45(13). e124–e124.
9.
Imamachi, Naoto, Takuma Irie, Hidenori Tani, et al.. (2015). Analysis of RNA decay factor mediated RNA stability contributions on RNA abundance. BMC Genomics. 16(1). 154–154. 35 indexed citations
10.
Imamachi, Naoto, Hidenori Tani, Rena Mizutani, et al.. (2013). BRIC-seq: A genome-wide approach for determining RNA stability in mammalian cells. Methods. 67(1). 55–63. 55 indexed citations
11.
Tani, Hidenori, Naoto Imamachi, Kazi Abdus Salam, et al.. (2012). Identification of hundreds of novel UPF1 target transcripts by direct determination of whole transcriptome stability. RNA Biology. 9(11). 1370–1379. 130 indexed citations
12.
Irie, Takuma, Sung‐Joon Park, Riu Yamashita, et al.. (2011). Predicting promoter activities of primary human DNA sequences. Nucleic Acids Research. 39(11). e75–e75. 6 indexed citations
13.
Yada, Tetsushi, Keigo Yoshida, Masao Morita, et al.. (2011). Linear regression models predicting strength of transcriptional activity of promoters.. PubMed. 25(1). 53–60. 2 indexed citations
14.
Tsuchihara, Katsuya, Yutaka Suzuki, Hiroyuki Wakaguri, et al.. (2009). Massive transcriptional start site analysis of human genes in hypoxia cells. Nucleic Acids Research. 37(7). 2249–2263. 88 indexed citations
15.
Takeda, Jun-ichi, Yutaka Suzuki, Ryuichi Sakate, et al.. (2008). Low conservation and species-specific evolution of alternative splicing in humans and mice: comparative genomics analysis using well-annotated full-length cDNAs. Nucleic Acids Research. 36(20). 6386–6395. 25 indexed citations
16.
Irie, Takuma, Yutaka Suzuki, Riu Yamashita, et al.. (2007). Intrinsic Promoter Activities of Primary DNA Sequences in the Human Genome. DNA Research. 14(2). 71–77. 4 indexed citations
17.
Tsuritani, Katsuki, Takuma Irie, Riu Yamashita, et al.. (2007). Distinct class of putative “non-conserved” promoters in humans: Comparative studies of alternative promoters of human and mouse genes. Genome Research. 17(7). 1005–1014. 28 indexed citations
18.
Irie, Takuma. (2003). Humoral immune response of carp (Cyprinus carpio) induced by oral immunization with liposome-entrapped antigen. Developmental & Comparative Immunology. 27(5). 413–421. 50 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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