Tadayoshi Shiba

7.1k citations
60 papers · 4.1k indexed · 2 hit papers · h-index 25
Topics
Bacteriophages and microbial interactions (13 papers)Plant Virus Research Studies (8 papers)RNA and protein synthesis mechanisms (8 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Tadayoshi Shiba

60 papers receiving 4.0k citations

Hit Papers

Complete genome sequence and comparative analysis of the ...200220262010201820032002250500750

Peers

Tadayoshi Shiba
Comparison fields: 5 of 125
  • Molecular Biology 2.4k
  • Pharmacology 801
  • Plant Science 796
  • Infectious Diseases 600
  • Genetics 520
Replace Hiroshi Hamamoto with:
Hiroshi Hamamoto Japan
Kyung J. Kwon‐Chung United States
Marc J. Orbach United States
J Besemer Austria
Songgang Li China
Tamás Papp Hungary
Selman A. Waksman United States
Matthew R. Laird Canada
Shennan Lu United States
James S. Song United States
Tadayoshi Shiba relative to Hiroshi Hamamoto Japan Hiroshi Hamamoto's profile →
Citations per field
00.5×2.9×
Hiroshi Hamamoto · 1×
Citations per year

Countries citing papers authored by Tadayoshi Shiba

Since Specialization
Citations

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

Fields of papers citing papers by Tadayoshi Shiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayoshi Shiba

This figure shows the co-authorship network connecting the top 25 collaborators of Tadayoshi Shiba. A scholar is included among the top collaborators of Tadayoshi Shiba 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 Tadayoshi Shiba. Tadayoshi Shiba 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
#WorkIndexed citations
1 5
2 13
3 4
4 19
5 3
6 216
7
Complete genome sequence and comparative analysis of the industrial microorganism Streptomyces avermitilisbreakdown →
960
8 459
9 65
10 30
11 36
12 22
13 20
14 5
15 19
16 5
17 13
18 2
19 104
20 11

About Tadayoshi Shiba

Tadayoshi Shiba is a scholar working on Microbiology, Molecular Biology and Ecology, having authored 60 papers that have together received 4.1k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (13 papers), Plant Virus Research Studies (8 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Microbiology (97 citations), Pharmacology (801 citations) and Biotechnology (313 citations). Tadayoshi Shiba has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Masahira Hattori, Atsushi Yamashita, Jun Ishikawa, Kaoru Saigo, Yoshiyuki Sakaki, Satoshi Ōmura, Hisashi Kikuchi, Haruo Ikeda, MAYUMI SHINOSE and Hideo Hayashi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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