Ayato Takada

19.7k citations
324 papers · 12.8k indexed · 2 hit papers · h-index 62
Topics
Viral Infections and Vectors (122 papers)Viral Infections and Outbreaks Research (96 papers)Influenza Virus Research Studies (85 papers)
Partner nations
JapanUnited StatesZambia

In The Last Decade

Ayato Takada

315 papers receiving 12.5k citations

Hit Papers

Isolation of drug-resistant H5N1 virus199820262007201620051998100200300400500

Peers

Ayato Takada
Comparison fields: 5 of 157
  • Epidemiology 6.9k
  • Infectious Diseases 6.7k
  • Molecular Biology 2.2k
  • Immunology 2.2k
  • Agronomy and Crop Science 2.0k
Replace Hiroshi Kida with:
Hiroshi Kida Japan
Gustavo Palacios United States
Juan Carlos de la Torre United States
Wolfgang Garten Germany
Jens H. Kuhn United States
Rubén O. Donis United States
Terrence M. Tumpey United States
Ted M. Ross United States
Geert van Amerongen Netherlands
Shigeru Morikawa Japan
Ayato Takada relative to Hiroshi Kida Japan Hiroshi Kida's profile →
Citations per field
00.5×1.5×
Hiroshi Kida · 1×
Citations per year

Countries citing papers authored by Ayato Takada

Since Specialization
Citations

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

Fields of papers citing papers by Ayato Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayato Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Ayato Takada. A scholar is included among the top collaborators of Ayato Takada 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 Ayato Takada. Ayato Takada 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 1
2 4
3 2
4 2
5 2
6 1
7 4
8 5
9 8
10 20
11 30
12 16
13 38
14 10
15 1
16 45
17
Prediction of N-glycosylation potential of influenza virus hemagglutinin by a bioinformatic approach
2
18 2
19 178
20
Laboratory of Microbiology
17

About Ayato Takada

Ayato Takada is a scholar working on Infectious Diseases, Agronomy and Crop Science and Epidemiology, having authored 324 papers that have together received 12.8k indexed citations. Recurring topics across this work include Viral Infections and Vectors (122 papers), Viral Infections and Outbreaks Research (96 papers) and Influenza Virus Research Studies (85 papers). The work is most often cited by research in Infectious Diseases (6.7k citations), Agronomy and Crop Science (2.0k citations) and Epidemiology (6.9k citations). Ayato Takada has collaborated with scholars based in Japan, United States and Zambia. Frequent co-authors include Yoshihiro Kawaoka, Hiroshi Kida, Heinz Feldmann, Reiko Yoshida, Hideo Goto, Takeshi Noda, Manabu Igarashi, Hideki Ebihara, Masahiro Kajihara and Shinji Watanabe. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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