Nobuo Sakata

761 total citations
27 papers, 446 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 446 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 Netherlands. Nobuo Sakata's co-authors include Yutaka Miura, Makoto Hori, Taiki Tamaoki, Souichi Ikeno, Tomoko Hashimoto-Tamaoki, Naoko Nakano, MASA HAMADA, Masakiyo Sasahara, Susumu Itoh and Makoto Kawaguchi 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 444 citations

Peers

Nobuo Sakata
Comparison fields: 5 of 80
  • Molecular Biology 306
  • Genetics 64
  • Pharmacology 57
  • Cancer Research 57
  • Organic Chemistry 53
Replace Yuki Nagano with:
Yuki Nagano Japan
Kristin A. Taskén Norway
Marc E. Bracke Belgium
Byung Jun Ryu South Korea
Yusuke Komi Japan
Oliver Zaccheo United Kingdom
Naoya Hirata Japan
Theresa Conway United States
Dawn A. Bradbury United Kingdom
Jacint Boix Spain
Yuki Nagano Japan View profile →
Citations per field, relative to Nobuo Sakata
Nobuo Sakata · 1×
Citations per year, relative to Nobuo Sakata
Nobuo Sakata · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 12
2 28
3 19
4 18
5 40
6 11
7 50
8 57
9 8
10 6
11 16
12 1
13 2
14 7
15 28
16 9
17 11
18 13
19 3
20 7

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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