Kosuke Okada

1.4k citations
57 papers · 1.1k · h-index 19

Impact in

Papers in

    • T-cell and Retrovirus Studies 42
    • Galectins and Cancer Biology 6
    • T-cell and B-cell Immunology 4
    • Animal Disease Management and Epidemiology 20

Kosuke Okada

57 papers receiving 1.1k citations

Peers

Kosuke Okada
Comparison fields: 5 of 97
  • Agronomy and Crop Science 356
  • Immunology 598
  • Ecology, Evolution, Behavior and Systematics 416
  • Parasitology 127
  • Periodontics 66
Replace Paul D. Ling with:
Paul D. Ling United States
Fun-In Wang Taiwan
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Kosuke Okada

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978247
2 201567
3
Ovine MHC class II DRB1 alleles associated with resistance or susceptibility to development of bovine leukemia virus-induced ovine lymphoma.
199963
4 200345
5 201740
6 200639
7 200338
8 199036
9 201635
10 200533
11 198933
12 198830
13
Characterization and targeting of the murine alpha2-antiplasmin gene.
199728
14 199827
15 201727
16 200522
17 202121
18 201620
19 200418
20 200318

About Kosuke Okada

Kosuke Okada is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Oncology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (42 papers), Animal Disease Management and Epidemiology (20 papers), Vector-Borne Animal Diseases (16 papers), Galectins and Cancer Biology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Virus-based gene therapy research (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Agronomy and Crop Science (356 citations), Immunology (598 citations), Ecology, Evolution, Behavior and Systematics (416 citations), Parasitology (127 citations) and Periodontics (66 citations). Kosuke Okada has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hiroshi Kodama, Noriko Goto, Yutaka Fujimoto, Yoko Aida, Misao Onuma, Satoru Konnai, Shigeru Tajima, Akio Mitani, Takeshi Kikuchi and Takeki Fujimura. Their work appears in journals such as Veterinary Immunology and Immunopathology, Veterinary Pathology, American Journal of Veterinary Research, Microbes and Infection and Journal of Comparative Pathology.

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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