Yuichi Iida

953 total citations
33 papers, 619 citations indexed

About

Yuichi Iida is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yuichi Iida has authored 33 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Immunology. Recurrent topics in Yuichi Iida's work include RNA Interference and Gene Delivery (6 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Yuichi Iida is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Yuichi Iida collaborates with scholars based in Japan, United States and Indonesia. Yuichi Iida's co-authors include Mamoru Harada, Hitoshi Kotani, Mitsuo Oshimura, Ryosuke Tanino, Tamio Okimoto, Yasuhiro Kazuki, Natalay Kouprina, William C. Earnshaw, Touko Inao and Indri Erliandri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Yuichi Iida

31 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuichi Iida Japan 15 388 170 117 104 68 33 619
Roni H. G. Wright Spain 13 602 1.6× 180 1.1× 73 0.6× 104 1.0× 94 1.4× 20 758
Federica Brugnoli Italy 17 563 1.5× 232 1.4× 87 0.7× 73 0.7× 210 3.1× 58 895
Shuyun Rao United States 13 526 1.4× 157 0.9× 65 0.6× 47 0.5× 124 1.8× 24 722
Mo Li China 13 500 1.3× 91 0.5× 71 0.6× 66 0.6× 207 3.0× 31 717
Ze-Yan Zhang China 13 444 1.1× 158 0.9× 60 0.5× 36 0.3× 86 1.3× 33 618
Hua Jiang China 14 472 1.2× 81 0.5× 35 0.3× 93 0.9× 114 1.7× 49 646
Rui Lopes Netherlands 14 939 2.4× 143 0.8× 51 0.4× 118 1.1× 296 4.4× 18 1.1k
Swati Sathe United States 6 432 1.1× 206 1.2× 84 0.7× 30 0.3× 137 2.0× 8 597
Tzeh Keong Foo United States 12 639 1.6× 302 1.8× 78 0.7× 170 1.6× 138 2.0× 18 786
Bingxue Shang China 11 318 0.8× 123 0.7× 82 0.7× 23 0.2× 126 1.9× 17 594

Countries citing papers authored by Yuichi Iida

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Iida. A scholar is included among the top collaborators of Yuichi Iida 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 Yuichi Iida. Yuichi Iida 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
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Tabata, Toshiaki, Narumi Uno, Takeshi Endo, et al.. (2024). Rejuvenation of human mesenchymal stem cells using a nonintegrative and conditionally removable Sendai virus vector. Scientific Reports. 14(1). 23623–23623. 3 indexed citations
4.
Uehara, Shotaro, Yuichi Iida, Motohito Goto, et al.. (2022). Humanized liver TK-NOG mice with functional deletion of hepatic murine cytochrome P450s as a model for studying human drug metabolism. Scientific Reports. 12(1). 14907–14907. 9 indexed citations
5.
Kotani, Hitoshi, et al.. (2022). A modulatory effect of L-arginine supplementation on anticancer effects of chemoimmunotherapy in colon cancer-bearing aged mice. International Immunopharmacology. 113(Pt A). 109423–109423. 5 indexed citations
6.
Iida, Yuichi, et al.. (2022). Hydroxychloroquine Promotes Bcl-xL Inhibition-induced Apoptosis in BxPC-3 Human Pancreatic Cancer Cells. Anticancer Research. 42(7). 3495–3506. 3 indexed citations
7.
Uehara, Shotaro, Yuichiro Higuchi, Nao Yoneda, et al.. (2021). An improved TK-NOG mouse as a novel platform for humanized liver that overcomes limitations in both male and female animals. Drug Metabolism and Pharmacokinetics. 42. 100410–100410. 27 indexed citations
8.
Harada, Mamoru, Yuichi Iida, Hitoshi Kotani, et al.. (2021). T-cell responses and combined immunotherapy against human carbonic anhydrase 9-expressing mouse renal cell carcinoma. Cancer Immunology Immunotherapy. 71(2). 339–352. 3 indexed citations
9.
Iida, Yuichi, Akihiko Murata, Hitoshi Kotani, et al.. (2020). Local injection of CCL19-expressing mesenchymal stem cells augments the therapeutic efficacy of anti-PD-L1 antibody by promoting infiltration of immune cells. Journal for ImmunoTherapy of Cancer. 8(2). e000582–e000582. 26 indexed citations
10.
Okimoto, Tamio, Hitoshi Kotani, Yuichi Iida, et al.. (2020). Pemetrexed sensitizes human lung cancer cells to cytotoxic immune cells. Cancer Science. 111(6). 1910–1920. 24 indexed citations
11.
Taniura, Takahito, et al.. (2020). Immunogenic chemotherapy in two mouse colon cancer models. Cancer Science. 111(10). 3527–3539. 18 indexed citations
12.
Iida, Yuichi, et al.. (2018). Chloroquine augments TRAIL-induced apoptosis and induces G2/M phase arrest in human pancreatic cancer cells. PLoS ONE. 13(3). e0193990–e0193990. 28 indexed citations
13.
Inao, Touko, Yuichi Iida, Tamio Okimoto, et al.. (2018). Bcl-2 inhibition sensitizes triple-negative human breast cancer cells to doxorubicin. Oncotarget. 9(39). 25545–25556. 61 indexed citations
14.
Takiguchi, Masato, Yasuhiro Kazuki, Kei Hiramatsu, et al.. (2012). A Novel and Stable Mouse Artificial Chromosome Vector. ACS Synthetic Biology. 3(12). 903–914. 57 indexed citations
15.
Kouprina, Natalay, Alexander Samoshkin, Indri Erliandri, et al.. (2012). Organization of Synthetic Alphoid DNA Array in Human Artificial Chromosome (HAC) with a Conditional Centromere. ACS Synthetic Biology. 1(12). 590–601. 45 indexed citations
16.
Kurosaki, Hajime, Masaharu Hiratsuka, Yuichi Iida, et al.. (2011). Integration-free and stable expression of FVIII using a human artificial chromosome. Journal of Human Genetics. 56(10). 727–733. 18 indexed citations
17.
Kim, Jung-Hyun, Artem V. Kononenko, Indri Erliandri, et al.. (2011). Human artificial chromosome (HAC) vector with a conditional centromere for correction of genetic deficiencies in human cells. Proceedings of the National Academy of Sciences. 108(50). 20048–20053. 65 indexed citations
18.
Iida, Yuichi, Jung‐Hyun Kim, Yasuhiro Kazuki, et al.. (2010). Human Artificial Chromosome with a Conditional Centromere for Gene Delivery and Gene Expression. DNA Research. 17(5). 293–301. 59 indexed citations
19.
Kato, Jungo, et al.. (1995). [A successful case of ischemic cardiomyopathy associated with left ventricular aneurysm and mitral regurgitation].. PubMed. 48(9). 781–4. 1 indexed citations
20.
Iida, Yuichi, et al.. (1991). Simultaneous determination of a new dihydropyridine calcium antagonist (MPC-1304) and its metabolite in dog plasma by high-performance liquid chromatography with electrochemical detection. Journal of Chromatography B Biomedical Sciences and Applications. 571(1-2). 277–282. 5 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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