Tatsuki Ueda

2.1k total citations · 1 hit paper
24 papers, 1.0k citations indexed

About

Tatsuki Ueda is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Tatsuki Ueda has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 9 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Tatsuki Ueda's work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (6 papers) and CRISPR and Genetic Engineering (4 papers). Tatsuki Ueda is often cited by papers focused on CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (6 papers) and CRISPR and Genetic Engineering (4 papers). Tatsuki Ueda collaborates with scholars based in Japan, United States and China. Tatsuki Ueda's co-authors include Shin Kaneko, Huaigeng Xu, Akitsu Hotta, Noriko Sasakawa, Miyuki Ono, Fumiyo Kitaoka, Tomoko Takahashi, Masaki Nomura, Misato Nishikawa and Yoshinori Yoshida and has published in prestigious journals such as Nature Communications, Nature Immunology and Nature Methods.

In The Last Decade

Tatsuki Ueda

22 papers receiving 1.0k citations

Hit Papers

Targeted Disruption of HLA Genes via CRISPR-Cas9 Generate... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuki Ueda Japan 11 645 530 282 164 142 24 1.0k
Xiaomeng Hu United States 13 627 1.0× 348 0.7× 261 0.9× 344 2.1× 113 0.8× 34 1.2k
Ailsa J. Christiansen Switzerland 13 469 0.7× 509 1.0× 240 0.9× 156 1.0× 63 0.4× 20 956
Sneha Ramakrishna United States 12 726 1.1× 656 1.2× 276 1.0× 87 0.5× 208 1.5× 27 1.3k
Patricia E. de Almeida United States 9 600 0.9× 158 0.3× 121 0.4× 176 1.1× 140 1.0× 10 843
María Castellà Spain 16 913 1.4× 235 0.4× 159 0.6× 72 0.4× 86 0.6× 23 1.2k
Ivona T. Olszak United States 9 257 0.4× 409 0.8× 490 1.7× 72 0.4× 81 0.6× 12 964
Xinghui Tian United States 13 650 1.0× 253 0.5× 247 0.9× 82 0.5× 119 0.8× 21 900
David Wei‐Min Tan United Kingdom 11 640 1.0× 330 0.6× 77 0.3× 64 0.4× 150 1.1× 12 1.3k
Elad Bassat Israel 10 1000 1.6× 236 0.4× 196 0.7× 452 2.8× 124 0.9× 11 1.6k
Mania Ackermann Germany 19 684 1.1× 180 0.3× 412 1.5× 119 0.7× 108 0.8× 37 1.1k

Countries citing papers authored by Tatsuki Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuki Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuki Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuki Ueda. A scholar is included among the top collaborators of Tatsuki Ueda 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 Tatsuki Ueda. Tatsuki Ueda 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.
Ueda, Tatsuki, et al.. (2024). Repurposing large-format microarrays for scalable spatial transcriptomics. Nature Methods. 22(1). 145–155. 5 indexed citations
2.
Takayanagi, Shin‐ichiro, Bo Wang, Makoto Kakitani, et al.. (2024). A culture method with berbamine, a plant alkaloid, enhances CAR-T cell efficacy through modulating cellular metabolism. Communications Biology. 7(1). 685–685. 3 indexed citations
3.
Takahama, Michihiro, Ashwini Patil, Katherine Johnson, et al.. (2024). A pairwise cytokine code explains the organism-wide response to sepsis. Nature Immunology. 25(2). 226–239. 34 indexed citations
4.
Ueda, Tatsuki, Shoichi Iriguchi, Seitaro Terakura, et al.. (2022). Optimization of the proliferation and persistency of CAR T cells derived from human induced pluripotent stem cells. Nature Biomedical Engineering. 7(1). 24–37. 48 indexed citations
5.
Iriguchi, Shoichi, Yutaka Yasui, Yohei Kawai, et al.. (2021). A clinically applicable and scalable method to regenerate T-cells from iPSCs for off-the-shelf T-cell immunotherapy. Nature Communications. 12(1). 430–430. 149 indexed citations
6.
Wang, Bo, Shoichi Iriguchi, Masazumi Waseda, et al.. (2021). Generation of hypoimmunogenic T cells from genetically engineered allogeneic human induced pluripotent stem cells. Nature Biomedical Engineering. 5(5). 429–440. 118 indexed citations
7.
Kawai, Yohei, et al.. (2021). Generation of highly proliferative, rejuvenated cytotoxic T cell clones through pluripotency reprogramming for adoptive immunotherapy. Molecular Therapy. 29(10). 3027–3041. 26 indexed citations
8.
Ueda, Tatsuki & Shin Kaneko. (2020). Induced pluripotent stem cell-derived natural killer cells gene-modified to express chimeric antigen receptor-targeting solid tumors. International Journal of Hematology. 114(5). 572–579. 10 indexed citations
9.
Xu, Huaigeng, Bo Wang, Miyuki Ono, et al.. (2019). CRISPR-Cas9を介するHLA遺伝子の標的化破壊は免疫適合性を増強したIPSCを生成する【JST・京大機械翻訳】. Cell stem cell. 24(4). 566–578. 71 indexed citations
10.
Ueda, Tatsuki & Shin Kaneko. (2019). In Vitro Differentiation of T Cell: From CAR-Modified T-iPSC. Methods in molecular biology. 2048. 85–91. 10 indexed citations
11.
Xu, Huaigeng, Bo Wang, Miyuki Ono, et al.. (2019). Targeted Disruption of HLA Genes via CRISPR-Cas9 Generates iPSCs with Enhanced Immune Compatibility. Cell stem cell. 24(4). 566–578.e7. 411 indexed citations breakdown →
12.
Ueda, Norihiro, Yasushi Uemura, Rong Zhang, et al.. (2018). Generation of TCR-Expressing Innate Lymphoid-like Helper Cells that Induce Cytotoxic T Cell-Mediated Anti-leukemic Cell Response. Stem Cell Reports. 10(6). 1935–1946. 20 indexed citations
14.
Kikuyama, Masataka, et al.. (2013). Hemorrhage from bile duct varices treated with fully covered expandable metallic stent placement in pancreatic carcinoma. Clinical Journal of Gastroenterology. 6(1). 80–83. 2 indexed citations
15.
Matsuda, Masanori, Masataka Kikuyama, & Tatsuki Ueda. (2013). Duplication of the Etrahepatic Bile Duct with a Benign Stricture. Internal Medicine. 52(23). 2679–2680.
16.
Naito, Seiji, Tatsuki Ueda, Shuji Kotoh, et al.. (1995). Treatment of advanced hormone-refractory prostate carcinoma with a combination of etoposide, pirarubicin and cisplatin. Cancer Chemotherapy and Pharmacology. 35(3). 225–229. 7 indexed citations
17.
Urakawa, Tomoaki, et al.. (1993). [Immunohistochemical study of the coexpression of epidermal growth factor receptor (EGFR) and c-erbB-2 protein in colorectal cancer].. PubMed. 90(11). 2889–94. 3 indexed citations
18.
Ueda, Tatsuki, et al.. (1993). Changes in Serum Immunosuppressive Acidic Protein following Surgery in Patients with Renal Carcinoma. British Journal of Urology. 72(4). 409–412. 8 indexed citations
19.
Nakamura, Hiroyuki, Fumiya Hirayama, Yasuaki Tatsumi, et al.. (1984). In vitro treatment of human acute lymphocytic leukemia cells in bone marrow with a cocktail of monoclonal antibodies.. PubMed. 14 Suppl 1. 537–42. 1 indexed citations
20.
Ueda, Tatsuki, Toru Masaoka, A Kanamaru, et al.. (1983). [Clinical evaluation of high dose intravenous injection of fosfomycin on the severe infections associated with the treatment of haematological disorders].. PubMed. 36(2). 311–5. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026