Ikuya Nagata

502 citations
28 papers · 434 indexed · h-index 14
Topics
Animal Virus Infections Studies (10 papers)Virus-based gene therapy research (9 papers)Viral gastroenteritis research and epidemiology (7 papers)
Partner nations
JapanSweden

In The Last Decade

Ikuya Nagata

25 papers receiving 374 citations

Peers

Ikuya Nagata
Comparison fields: 5 of 46
  • Epidemiology 281
  • Infectious Diseases 172
  • Animal Science and Zoology 131
  • Genetics 101
  • Immunology 83
Replace J Peetermans with:
J Peetermans Belgium
S. Gard Sweden
S Vidal Switzerland
P. M. Biggs United States
Harry C. Hinze United States
Calnek Bw United States
Timothy C. Wong United States
J Fayolle France
N. L. Varich Russia
Branka Mrkic Switzerland
Ikuya Nagata relative to J Peetermans Belgium J Peetermans's profile →
Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Ikuya Nagata

Since Specialization
Citations

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

Fields of papers citing papers by Ikuya Nagata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuya Nagata

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuya Nagata. A scholar is included among the top collaborators of Ikuya Nagata 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 Ikuya Nagata. Ikuya Nagata 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 7
2 2
3 14
4 10
5 6
6 41
7 9
8 19
9 45
10 2
11 15
12 17
13 1
14 58
15 11
16 52
17 17
18 2
19
[Oncolytic effect of influenza virus upon Ehrlich carcinoma and Yoshida ascites hepatoma].
1
20
Studies on the Variation of Influenza Virus. I. The Haemagglutinatlon Inhibitory Action of Normal Mouse Lung Suspension.
1

About Ikuya Nagata

Ikuya Nagata is a scholar working on Animal Science and Zoology, Infectious Diseases and Epidemiology, having authored 28 papers that have together received 434 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (10 papers), Virus-based gene therapy research (9 papers) and Viral gastroenteritis research and epidemiology (7 papers). The work is most often cited by research in Animal Science and Zoology (131 citations), Infectious Diseases (172 citations) and Epidemiology (281 citations). Ikuya Nagata has collaborated with scholars based in Japan and Sweden. Frequent co-authors include Yasuhiko Ito, Yoshinobu Kimura, Kaoru Shimokata, Yukihiro Nishiyama, A Kunii, Toshisada Matsumoto, Koichiro Maeno, Tatsuya Tanaka, Yoshihiro Ito and Yuka Kimura. Their work appears in journals such as The Journal of Immunology, Journal of Virology and Journal of Hepatology.

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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