Sayaka Deguchi

57 total papers · 1.7k total citations
27 papers, 262 citations indexed

About

Sayaka Deguchi is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Sayaka Deguchi has authored 27 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Biomedical Engineering and 6 papers in Oncology. Recurrent topics in Sayaka Deguchi's work include 3D Printing in Biomedical Research (10 papers), Pluripotent Stem Cells Research (7 papers) and CRISPR and Genetic Engineering (6 papers). Sayaka Deguchi is often cited by papers focused on 3D Printing in Biomedical Research (10 papers), Pluripotent Stem Cells Research (7 papers) and CRISPR and Genetic Engineering (6 papers). Sayaka Deguchi collaborates with scholars based in Japan, United Kingdom and United States. Sayaka Deguchi's co-authors include Kazuo Takayama, Hiroyuki Mizuguchi, Ayaka Sakamoto, Ryosuke Negoro, Kazuo Harada, Kazumasa Hirata, Rina Hashimoto, Kazutoshi Takahashi, Akitsu Hotta and Yu‐suke Torisawa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cell stem cell.

In The Last Decade

Sayaka Deguchi

24 papers receiving 258 citations

Author Peers

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

Author Last Decade Papers Cites
Sayaka Deguchi 87 83 47 39 39 27 262
Damir Simic 99 1.1× 87 1.0× 16 0.3× 42 1.1× 23 0.6× 20 279
C. J. Holloway 89 1.0× 70 0.8× 32 0.7× 34 0.9× 53 1.4× 31 329
Shubham Garg 81 0.9× 31 0.4× 21 0.4× 46 1.2× 59 1.5× 37 317
Chen Shen 129 1.5× 42 0.5× 12 0.3× 16 0.4× 46 1.2× 26 281
Karissa Adkins 96 1.1× 30 0.4× 20 0.4× 9 0.2× 7 0.2× 22 266
Ryosuke Negoro 140 1.6× 108 1.3× 10 0.2× 61 1.6× 13 0.3× 23 305
Changku Jia 88 1.0× 28 0.3× 30 0.6× 68 1.7× 74 1.9× 34 310
Foyez Mahmud 144 1.7× 37 0.4× 23 0.5× 25 0.6× 6 0.2× 17 328
Flaviana Cau 79 0.9× 42 0.5× 20 0.4× 21 0.5× 22 0.6× 28 319
Shuangshuang Zhao 113 1.3× 58 0.7× 7 0.1× 58 1.5× 39 1.0× 32 293

Countries citing papers authored by Sayaka Deguchi

Since Specialization
Citations

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

Fields of papers citing papers by Sayaka Deguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayaka Deguchi

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