Tatsuya Inui

60 total papers · 1.0k total citations
34 papers, 811 citations indexed

About

Tatsuya Inui is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Tatsuya Inui has authored 34 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Organic Chemistry and 7 papers in Cell Biology. Recurrent topics in Tatsuya Inui's work include Chemical Synthesis and Analysis (8 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Tatsuya Inui is often cited by papers focused on Chemical Synthesis and Analysis (8 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Tatsuya Inui collaborates with scholars based in Japan, United States and Australia. Tatsuya Inui's co-authors include Terutoshi Kimura, Shumpei Sakakibara, Hideki Nishio, Takashi Muramatsu, Yuji Nishiuchi, Kenji Kadomatsu, Hisako Muramatsu, Soichi Kojima, Shigeru Kubo and Makoto Hirai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Tatsuya Inui

34 papers receiving 797 citations

Author Peers

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

Author Last Decade Papers Cites
Tatsuya Inui 547 176 135 120 82 34 811
Beatriz García 466 0.9× 225 1.3× 165 1.2× 91 0.8× 49 0.6× 43 915
Maria T. Debanne 577 1.1× 175 1.0× 162 1.2× 74 0.6× 43 0.5× 34 957
Kenneth D. Noonan 607 1.1× 125 0.7× 71 0.5× 87 0.7× 46 0.6× 25 897
P.K. Chiang 558 1.0× 157 0.9× 165 1.2× 85 0.7× 37 0.5× 25 975
Henry E. Pelish 592 1.1× 208 1.2× 130 1.0× 48 0.4× 127 1.5× 22 909
Coy D. Heldermon 456 0.8× 248 1.4× 114 0.8× 208 1.7× 102 1.2× 57 884
Todd M. Martensen 580 1.1× 213 1.2× 97 0.7× 57 0.5× 42 0.5× 29 810
Madhavi Latha Somaraju Chalasani 330 0.6× 155 0.9× 51 0.4× 75 0.6× 58 0.7× 25 843
Chengcheng Huang 641 1.2× 216 1.2× 124 0.9× 44 0.4× 91 1.1× 54 1.0k
Lindsey M. Costantini 680 1.2× 167 0.9× 79 0.6× 44 0.4× 26 0.3× 23 1.0k

Countries citing papers authored by Tatsuya Inui

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Inui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Inui

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