Tohru Daikoku

3.8k citations
102 papers · 3.1k indexed · 1 hit paper · h-index 32
Topics
Herpesvirus Infections and Treatments (56 papers)Cytomegalovirus and herpesvirus research (41 papers)Virus-based gene therapy research (24 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Immunology

In The Last Decade

Tohru Daikoku

97 papers receiving 3.0k citations

Hit Papers

Favipiravir, an anti-influenza drug against life-threaten...20202026202220242020100200300

Peers

Tohru Daikoku
Comparison fields: 5 of 111
  • Epidemiology 1.9k
  • Oncology 750
  • Molecular Biology 684
  • Immunology 637
  • Infectious Diseases 569
Replace Eng‐Shang Huang with:
Eng‐Shang Huang United States
Shalini Sharma India
Xinwen Chen China
Terry L. Bowlin United States
Mark N. Prichard United States
Pia Hartmann Germany
Cheryl A. Stoddart United States
Robert T. Sarisky United States
Luis M. Schang Canada
Brent E. Korba United States
Tohru Daikoku relative to Eng‐Shang Huang United States Eng‐Shang Huang's profile →
Citations per field
00.5×4.2×
Eng‐Shang Huang · 1×
Citations per year

Countries citing papers authored by Tohru Daikoku

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Daikoku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tohru Daikoku

This figure shows the co-authorship network connecting the top 25 collaborators of Tohru Daikoku. A scholar is included among the top collaborators of Tohru Daikoku 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 Tohru Daikoku. Tohru Daikoku 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 0
2 1
3 9
4
Favipiravir, an anti-influenza drug against life-threatening RNA virus infectionsbreakdown →
397
5 0
6 6
7 10
8 4
9 2
10 18
11 13
12 25
13 37
14 36
15 21
16 50
17 30
18 15
19 16
20 37

About Tohru Daikoku

Tohru Daikoku is a scholar working on Epidemiology, Virology and Immunology, having authored 102 papers that have together received 3.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (56 papers), Cytomegalovirus and herpesvirus research (41 papers) and Virus-based gene therapy research (24 papers). The work is most often cited by research in Epidemiology (1.9k citations), Virology (224 citations) and Infectious Diseases (569 citations). Tohru Daikoku has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yukihiro Nishiyama, Kimíyasu Shiraki, Tatsuya Tsurumi, Fumi Goshima, Hiroki Isomura, Ayumi Kudoh, Hiroki Takakuwa, Noriko Shirata, Yutaka Sugaya and Masatoshi Fujita. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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