Nobuo Sakata

37 total papers · 757 total citations
27 papers, 442 citations indexed

About

Nobuo Sakata is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Nobuo Sakata has authored 27 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Pharmacology and 6 papers in Genetics. Recurrent topics in Nobuo Sakata's work include Microbial Natural Products and Biosynthesis (7 papers), RNA and protein synthesis mechanisms (5 papers) and TGF-β signaling in diseases (4 papers). Nobuo Sakata is often cited by papers focused on Microbial Natural Products and Biosynthesis (7 papers), RNA and protein synthesis mechanisms (5 papers) and TGF-β signaling in diseases (4 papers). Nobuo Sakata collaborates with scholars based in Japan, Canada and Sweden. Nobuo Sakata's co-authors include Yutaka Miura, Makoto Hori, Taiki Tamaoki, Souichi Ikeno, Tomoko Hashimoto-Tamaoki, Makoto Kawaguchi, Masakiyo Sasahara, Susumu Itoh, MASA HAMADA and Petr Kašpar and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Comparative Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Nobuo Sakata

27 papers receiving 440 citations

Author Peers

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

Author Last Decade Papers Cites
Nobuo Sakata 302 64 57 55 53 27 442
E. Göttert 341 1.1× 50 0.8× 47 0.8× 45 0.8× 119 2.2× 14 416
Reidun Aesöy 270 0.9× 110 1.7× 30 0.5× 47 0.9× 38 0.7× 24 478
Laurent Bermont 207 0.7× 83 1.3× 42 0.7× 54 1.0× 68 1.3× 23 397
Samuel J. DiMari 185 0.6× 43 0.7× 24 0.4× 23 0.4× 106 2.0× 18 445
Christine R. Albrightson 204 0.7× 25 0.4× 57 1.0× 43 0.8× 20 0.4× 21 463
Ya-Nan Shu 271 0.9× 38 0.6× 30 0.5× 109 2.0× 23 0.4× 16 460
Gaëlle Lenglet 191 0.6× 28 0.4× 23 0.4× 18 0.3× 90 1.7× 23 422
H. Ishikawa 223 0.7× 37 0.6× 22 0.4× 26 0.5× 68 1.3× 39 463
Jingyuan Ma 154 0.5× 39 0.6× 24 0.4× 45 0.8× 53 1.0× 34 430
Byung Jun Ryu 285 0.9× 39 0.6× 47 0.8× 49 0.9× 35 0.7× 23 441

Countries citing papers authored by Nobuo Sakata

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Sakata

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