Tadayoshi Uezato

36 total papers · 470 total citations
27 papers, 353 citations indexed

About

Tadayoshi Uezato is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Tadayoshi Uezato has authored 27 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Cell Biology. Recurrent topics in Tadayoshi Uezato's work include Congenital heart defects research (4 papers), Cancer-related molecular mechanisms research (3 papers) and Pancreatic function and diabetes (3 papers). Tadayoshi Uezato is often cited by papers focused on Congenital heart defects research (4 papers), Cancer-related molecular mechanisms research (3 papers) and Pancreatic function and diabetes (3 papers). Tadayoshi Uezato collaborates with scholars based in Japan, United States and France. Tadayoshi Uezato's co-authors include Michiya Fujita, Naoyuki Miura, Eiji Sato, Tomoki Tamakoshi, Kenji Nishimura, Toshihiro Sugiyama, Shu Fang, Yan Fu, Nobuaki Yoshida and Kayoko Maehara and has published in prestigious journals such as Hepatology, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Tadayoshi Uezato

27 papers receiving 345 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tadayoshi Uezato	194	73	58	35	35	27	353
Makiko Yamada	236 1.2×	52 0.7×	45 0.8×	46 1.3×	37 1.1×	26	401
Wenguang Yin	183 0.9×	52 0.7×	42 0.7×	48 1.4×	45 1.3×	20	331
Nuruliarizki Shinta Pandupuspitasari	210 1.1×	45 0.6×	28 0.5×	24 0.7×	30 0.9×	32	377
Ying Huang	157 0.8×	125 1.7×	71 1.2×	72 2.1×	26 0.7×	28	392
Katja Hilbert	215 1.1×	178 2.4×	43 0.7×	28 0.8×	36 1.0×	21	403
Frédéric Paré	177 0.9×	73 1.0×	24 0.4×	38 1.1×	44 1.3×	23	355
Shikha Yadav	122 0.6×	36 0.5×	32 0.6×	28 0.8×	31 0.9×	29	331
Hongwei Pu	135 0.7×	35 0.5×	65 1.1×	47 1.3×	18 0.5×	23	332
Liman Ma	130 0.7×	62 0.8×	33 0.6×	22 0.6×	18 0.5×	25	338
Mouna Barat‐Houari	141 0.7×	126 1.7×	29 0.5×	36 1.0×	24 0.7×	23	371

Countries citing papers authored by Tadayoshi Uezato

Since Specialization

Citations

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

Fields of papers citing papers by Tadayoshi Uezato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayoshi Uezato

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

All Works

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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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