Sadao Ota

110 total papers · 1.2k total citations
42 papers, 925 citations indexed

About

Sadao Ota is a scholar working on Biomedical Engineering, Molecular Biology and Biophysics. According to data from OpenAlex, Sadao Ota has authored 42 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 20 papers in Molecular Biology and 19 papers in Biophysics. Recurrent topics in Sadao Ota's work include Cell Image Analysis Techniques (16 papers), Microfluidic and Bio-sensing Technologies (15 papers) and Single-cell and spatial transcriptomics (8 papers). Sadao Ota is often cited by papers focused on Cell Image Analysis Techniques (16 papers), Microfluidic and Bio-sensing Technologies (15 papers) and Single-cell and spatial transcriptomics (8 papers). Sadao Ota collaborates with scholars based in Japan, United States and China. Sadao Ota's co-authors include Shoji Takeuchi, Xiang Zhang, Satoko Yoshizawa, Ren‐Min Ma, Sui Yang, Yimin Li, Issei Sato, Ryoichi Horisaki, Xiaobo Yin and Yōko Kawamura and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Sadao Ota

40 papers receiving 892 citations

Author Peers

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

Author Last Decade Papers Cites
Sadao Ota 585 302 217 197 171 42 925
Hamootal Duadi 425 0.7× 96 0.3× 184 0.8× 252 1.3× 85 0.5× 94 978
Eric Le Moal 606 1.0× 73 0.2× 295 1.4× 400 2.0× 258 1.5× 46 914
Xian Hao 282 0.5× 420 1.4× 120 0.6× 230 1.2× 311 1.8× 31 1.1k
Hideharu Mikami 334 0.6× 103 0.3× 147 0.7× 342 1.7× 270 1.6× 47 841
Antony Orth 542 0.9× 67 0.2× 174 0.8× 173 0.9× 157 0.9× 53 1.1k
Chaoyang Gong 354 0.6× 147 0.5× 594 2.7× 267 1.4× 96 0.6× 56 958
Chie Hosokawa 343 0.6× 188 0.6× 168 0.8× 215 1.1× 71 0.4× 62 794
Julien Savatier 471 0.8× 172 0.6× 74 0.3× 394 2.0× 456 2.7× 26 1.0k
Charles H. Camp 387 0.7× 181 0.6× 86 0.4× 184 0.9× 833 4.9× 28 1.2k
Akihiro Isozaki 431 0.7× 108 0.4× 254 1.2× 187 0.9× 176 1.0× 36 857

Countries citing papers authored by Sadao Ota

Since Specialization
Citations

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

Fields of papers citing papers by Sadao Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadao Ota

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