Kayoko Waki

920 citations
26 papers · 717 indexed · h-index 12
Topics
Immunotherapy and Immune Responses (12 papers)Cancer Immunotherapy and Biomarkers (10 papers)HIV Research and Treatment (7 papers)
Partner nations
JapanUnited StatesTaiwan

In The Last Decade

Kayoko Waki

26 papers receiving 710 citations

Peers

Kayoko Waki
Comparison fields: 5 of 75
  • Virology 270
  • Molecular Biology 235
  • Infectious Diseases 152
  • Immunology 146
  • Public Health, Environmental and Occupational Health 134
Replace Mario Perković with:
Mario Perković Germany
Yoshimasa Takizawa Japan
J. Hammonds United States
Jörg Votteler Germany
Helena Soares Portugal
Abhilash I. Chiramel United States
Marina Lušić Italy
Viswanathan Chandrasekaran United Kingdom
Libin Abraham Canada
Kirsi Hellström Finland
Kayoko Waki relative to Mario Perković Germany Mario Perković's profile →
Citations per field
00.5×1.5×2.5×
Mario Perković · 1×
Citations per year

Countries citing papers authored by Kayoko Waki

Since Specialization
Citations

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

Fields of papers citing papers by Kayoko Waki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayoko Waki

This figure shows the co-authorship network connecting the top 25 collaborators of Kayoko Waki. A scholar is included among the top collaborators of Kayoko Waki 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 Kayoko Waki. Kayoko Waki 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 7
3 3
4 6
5 4
6 21
7
Personalized peptide vaccine for cancer treatment; now and its future.
2
8 1
9 9
10 5
11 10
12 147
13 10
14 63
15 23
16 56
17 36
18 9
19 48
20 41

About Kayoko Waki

Kayoko Waki is a scholar working on Virology, Immunology and Oncology, having authored 26 papers that have together received 717 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Cancer Immunotherapy and Biomarkers (10 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Virology (270 citations), Structural Biology (46 citations) and Biophysics (67 citations). Kayoko Waki has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Eric O. Freed, Sherimay D. Ablan, Schuyler B. van Engelenburg, Jennifer Lippincott‐Schwartz, Prabuddha Sengupta, Akira Yamada, Gleb Shtengel, Michal Jarník, Harald F. Hess and Sujoy Dutta. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

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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