Tadayoshi Ueda

542 total citations
9 papers, 443 citations indexed

About

Tadayoshi Ueda is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Tadayoshi Ueda has authored 9 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Genetics. Recurrent topics in Tadayoshi Ueda's work include Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers) and CRISPR and Genetic Engineering (2 papers). Tadayoshi Ueda is often cited by papers focused on Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers) and CRISPR and Genetic Engineering (2 papers). Tadayoshi Ueda collaborates with scholars based in Japan, United States and Spain. Tadayoshi Ueda's co-authors include Noriaki Tanaka, Naoya Kobayashi, Jorge David Rivas‐Carrillo, Alejandro Soto–Gutiérrez, Kimiaki Tanaka, Nalu Navarro–Álvarez, Teru Okitsu, Hirofumi Noguchi, Yong Chen and Atsushi Miki and has published in prestigious journals such as Nature Biotechnology, Human Gene Therapy and Cell Transplantation.

In The Last Decade

Tadayoshi Ueda

9 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tadayoshi Ueda Japan	8	213	191	178	141	87	9	443
Kate Cameron United Kingdom	16	254 1.2×	131 0.7×	160 0.9×	218 1.5×	41 0.5×	26	503
Susanne Ng Singapore	9	120 0.6×	105 0.5×	97 0.5×	167 1.2×	77 0.9×	11	374
John M. Hallett United Kingdom	6	142 0.7×	105 0.5×	79 0.4×	81 0.6×	53 0.6×	8	379
Rui Tostões Portugal	9	251 1.2×	191 1.0×	202 1.1×	356 2.5×	32 0.4×	14	584
Charis‐Patricia Segeritz United Kingdom	6	224 1.1×	150 0.8×	146 0.8×	108 0.8×	16 0.2×	11	362
Sharmin Alhaque United Kingdom	6	149 0.7×	105 0.5×	140 0.8×	171 1.2×	19 0.2×	9	320
Ryotaro Ito United States	3	322 1.5×	328 1.7×	326 1.8×	88 0.6×	26 0.3×	5	543
Antonietta Messina France	10	122 0.6×	112 0.6×	115 0.6×	139 1.0×	26 0.3×	16	296
Ayla Smout Belgium	7	146 0.7×	176 0.9×	301 1.7×	180 1.3×	10 0.1×	9	478
Noushin Dianat France	6	194 0.9×	157 0.8×	189 1.1×	71 0.5×	10 0.1×	12	349

Countries citing papers authored by Tadayoshi Ueda

Since Specialization

Citations

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

Fields of papers citing papers by Tadayoshi Ueda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayoshi Ueda

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

All Works

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9 of 9 papers shown

Ogihara, Takuo, Yukiko Inoue, Motoharu Kakiki, et al.. (2015). Utility of human hepatocyte spheroids for evaluation of hepatotoxicity. Fundamental Toxicological Sciences. 2(1). 41–48. 12 indexed citations

Ohta, Kunihiro, Akiko Koeda, Tadayoshi Ueda, et al.. (2014). Evaluation of Human Hepatocytes Cultured by Three-dimensional Spheroid Systems for Drug Metabolism. Drug Metabolism and Pharmacokinetics. 29(5). 373–378. 62 indexed citations

Matsumoto, Izumi, Kazuo Okimoto, Tadayoshi Ueda, et al.. (2009). Establishment and Characterization of Renal Carcinoma Cell Lines from a Bhd Gene Mutant (Nihon) Rat. Tumor Biology. 30(5-6). 249–256. 2 indexed citations

Soto–Gutiérrez, Alejandro, Naoya Kobayashi, Jorge David Rivas‐Carrillo, et al.. (2006). Reversal of mouse hepatic failure using an implanted liver-assist device containing ES cell–derived hepatocytes. Nature Biotechnology. 24(11). 1412–1419. 167 indexed citations

Misawa, Haruo, Naoya Kobayashi, Alejandro Soto–Gutiérrez, et al.. (2006). PuraMatrix™ Facilitates Bone Regeneration in Bone Defects of Calvaria in Mice. Cell Transplantation. 15(10). 903–910. 97 indexed citations

Kobayashi, Naoya, Takuya Fukazawa, Toshinori Totsugawa, et al.. (2004). Lentivirus‐based Gene Delivery in Mouse Embryonic Stem Cells. Artificial Organs. 28(3). 271–277. 26 indexed citations

Totsugawa, Toshinori, Naoya Kobayashi, Masanobu Maruyama, et al.. (2003). Lentiviral Vector: A Useful Tool for Transduction of Human Liver Endothelial Cells. ASAIO Journal. 49(6). 635–640. 9 indexed citations

Noguchi, Hirofumi, Naoya Kobayashi, Karen A. Westerman, et al.. (2002). Controlled Expansion of Human Endothelial Cell Populations by Cre- loxP -Based Reversible Immortalization. Human Gene Therapy. 13(2). 321–334. 31 indexed citations

Yamashita, Yo‐ichi, Mitsuo Shimada, Eiji Tsujita, et al.. (2001). Polyurethane Foam/Spheroid Culture System Using Human Hepatoblastoma Cell Line (Hep G2) as a Possible New Hybrid Artificial Liver. Cell Transplantation. 10(8). 717–722. 37 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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