Tadasuke Naito

1.1k citations
24 papers · 912 · h-index 13

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 13
    • Respiratory viral infections research 6
    • T-cell and Retrovirus Studies 7
    • interferon and immune responses 3

Tadasuke Naito

22 papers receiving 908 citations

Peers

Tadasuke Naito
Comparison fields: 5 of 69
  • Immunology 331
  • Epidemiology 542
  • Infectious Diseases 205
  • Agronomy and Crop Science 95
  • Molecular Biology 460
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Citations per field
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Citations per year

Countries citing papers authored by Tadasuke Naito

Since Specialization
Citations

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

Fields of papers citing papers by Tadasuke Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tadasuke Naito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tadasuke Naito Line = papers co-authored together Tadasuke Naito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006199
2 2002191
3 201797
4 200476
5 200775
6 200867
7 201436
8 201125
9 202219
10 201619
11 201818
12 201716
13 201613
14 201512
15 200812
16 201710
17 201610
18 20215
19 20195
20 20194

About Tadasuke Naito

Tadasuke Naito is a scholar working on Epidemiology, Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 24 papers that have together received 912 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Animal Disease Management and Epidemiology (9 papers), Vector-Borne Animal Diseases (8 papers), T-cell and Retrovirus Studies (7 papers), Respiratory viral infections research (6 papers), RNA and protein synthesis mechanisms (4 papers), Viral gastroenteritis research and epidemiology (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (331 citations), Epidemiology (542 citations), Infectious Diseases (205 citations), Agronomy and Crop Science (95 citations) and Molecular Biology (460 citations). Tadasuke Naito has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Kyosuke Nagata, Atsushi Kawaguchi, Fumitaka Momose, Mineki Saito, Seiji Sugimoto, Yuko Morikawa, Keiichi Yano, Tatsuya Sakai, Shin I. Nishimura and Ryosuke Nakano. Their work appears in journals such as Journal of Virology, Virology Journal, Retrovirology, Scientific Reports and Journal of Interferon & Cytokine 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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