Tetsuya Shiota

64 total papers · 504 total citations
36 papers, 401 citations indexed

About

Tetsuya Shiota is a scholar working on Surgery, Oncology and Clinical Biochemistry. According to data from OpenAlex, Tetsuya Shiota has authored 36 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Oncology and 6 papers in Clinical Biochemistry. Recurrent topics in Tetsuya Shiota's work include Metabolism and Genetic Disorders (6 papers), biodegradable polymer synthesis and properties (6 papers) and Amino Acid Enzymes and Metabolism (4 papers). Tetsuya Shiota is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), biodegradable polymer synthesis and properties (6 papers) and Amino Acid Enzymes and Metabolism (4 papers). Tetsuya Shiota collaborates with scholars based in Japan, United States and Switzerland. Tetsuya Shiota's co-authors include Takayo Sasagawa, Misako Okita, Akiharu Watanabe, Kazuhiko Suzuki, Koichiro Hayashi, Hideo Nagashima, Masachika Fujiwara, Masatoshi Ishizaki, Y. Uchida and En Kimura and has published in prestigious journals such as Nucleic Acids Research, Annals of the New York Academy of Sciences and Journal of Applied Polymer Science.

In The Last Decade

Tetsuya Shiota

34 papers receiving 388 citations

Author Peers

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

Author						Papers	Cites
Tetsuya Shiota	184	75	53	48	38	36	401
Shota Tanaka	115 0.6×	106 1.4×	50 0.9×	51 1.1×	14 0.4×	50	399
Svetlana Ivanović‐Matić	129 0.7×	60 0.8×	40 0.8×	31 0.6×	33 0.9×	36	362
Vincent Nuyens	160 0.9×	43 0.6×	17 0.3×	56 1.2×	48 1.3×	31	405
Meiyuan Huang	157 0.9×	60 0.8×	41 0.8×	37 0.8×	25 0.7×	27	345
Xiaohua Tan	177 1.0×	35 0.5×	64 1.2×	40 0.8×	20 0.5×	25	435
Jiali Gao	130 0.7×	100 1.3×	14 0.3×	52 1.1×	15 0.4×	26	365
Karan S. Crilly	251 1.4×	38 0.5×	39 0.7×	51 1.1×	15 0.4×	30	420
Qingchun Diao	157 0.9×	52 0.7×	41 0.8×	35 0.7×	45 1.2×	37	428
Hwan Hee Lee	119 0.6×	47 0.6×	101 1.9×	23 0.5×	17 0.4×	23	346
Kinya Koizumi	216 1.2×	47 0.6×	36 0.7×	52 1.1×	15 0.4×	26	410

Countries citing papers authored by Tetsuya Shiota

Since Specialization

Citations

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

Fields of papers citing papers by Tetsuya Shiota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Shiota

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Shiota. A scholar is included among the top collaborators of Tetsuya Shiota 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 Tetsuya Shiota. Tetsuya Shiota 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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