Yoko Aida

6.5k citations
225 papers · 5.0k · h-index 40

Impact in

Papers in

Yoko Aida

218 papers receiving 4.8k citations

Peers

Yoko Aida
Comparison fields: 5 of 121
  • Agronomy and Crop Science 2.3k
  • Immunology 3.2k
  • Virology 594
  • Ecology, Evolution, Behavior and Systematics 1.6k
  • Microbiology 407
Replace Kazuhiko Ohashi with:
Kazuhiko Ohashi Japan
Günther M. Keil Germany
Françoise Bex Belgium
Satoru Konnai Japan
Liurong Fang China
Griffith D. Parks United States
Javier Domı́nguez Spain
Gary A. Splitter United States
Claudine Bruck Belgium
Covadonga Alonso Spain
Yoko Aida relative to Kazuhiko Ohashi Japan Kazuhiko Ohashi's profile →
Citations per field
00.5×4.0×
Kazuhiko Ohashi · 1×
Citations per year

Countries citing papers authored by Yoko Aida

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Aida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yoko Aida, 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 Yoko Aida Line = papers co-authored together Yoko Aida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013163
2 2017136
3 200698
4 201098
5 201693
6 200780
7 201579
8 201277
9 201272
10 202170
11 199867
12 202167
13 200365
14 201363
15
Ovine MHC class II DRB1 alleles associated with resistance or susceptibility to development of bovine leukemia virus-induced ovine lymphoma.
199963
16 200261
17 202061
18 201460
19 201460
20 199859

About Yoko Aida

Yoko Aida is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Virology, having authored 225 papers that have together received 5.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (113 papers), Animal Disease Management and Epidemiology (92 papers), Vector-Borne Animal Diseases (74 papers), HIV Research and Treatment (30 papers), T-cell and B-cell Immunology (28 papers), HIV/AIDS drug development and treatment (21 papers), Microbial infections and disease research (19 papers) and RNA Research and Splicing (17 papers). The work is most often cited by research in Agronomy and Crop Science (2.3k citations), Immunology (3.2k citations), Virology (594 citations), Ecology, Evolution, Behavior and Systematics (1.6k citations) and Microbiology (407 citations). Yoko Aida has collaborated with scholars based in Japan, United States and Argentina. Frequent co-authors include Shin‐nosuke Takeshima, Shigeru Tajima, Masakazu Kamata, Meripet Polat, Misao Onuma, Yuki Matsumoto, Hironobu Murakami, Ayumu Ohno, Kosuke Okada and Hirotaka Sato. Their work appears in journals such as Retrovirology, Biochemical and Biophysical Research Communications, Viruses, PLoS ONE and Journal of Virology.

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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