Satoko Matsueda

2.5k citations
85 papers · 1.8k indexed · h-index 24
Topics
Immunotherapy and Immune Responses (68 papers)Cancer Immunotherapy and Biomarkers (34 papers)vaccines and immunoinformatics approaches (22 papers)

In The Last Decade

Satoko Matsueda

85 papers receiving 1.7k citations

Peers

Satoko Matsueda
Comparison fields: 5 of 87
  • Immunology 1.2k
  • Oncology 935
  • Molecular Biology 713
  • Surgery 189
  • Pulmonary and Respiratory Medicine 182
Replace Stephen J. Blake with:
Stephen J. Blake Australia
Tianyu Tang China
Maria J. de Miguel Spain
Anupam M. Desai United States
Ilaria Grazia Zizzari Italy
Stefano Sammicheli Sweden
Baldev Vasir United States
Takayuki Ohkuri Japan
Alfonso R. Sánchez-Paulete Spain
Iñaki Etxeberría Spain
Satoko Matsueda relative to Stephen J. Blake Australia Stephen J. Blake's profile →
Citations per field
00.5×2.8×
Stephen J. Blake · 1×
Citations per year

Countries citing papers authored by Satoko Matsueda

Since Specialization
Citations

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

Fields of papers citing papers by Satoko Matsueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoko Matsueda

This figure shows the co-authorship network connecting the top 25 collaborators of Satoko Matsueda. A scholar is included among the top collaborators of Satoko Matsueda 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 Satoko Matsueda. Satoko Matsueda 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 13
3 32
4 3
5 4
6 34
7 10
8 49
9 15
10 38
11 44
12 10
13 11
14 14
15 20
16
Distinct patient responses to activation of T-cells by free HER-2, G89 (777-789) and protected LRMK-linked HER-2, {AE-39 [p776 (Ava-774-788)], AE-47 [(Ava-776-788)] and AE-37[p776 (774-788)]} peptides could lead to development of personalized cancer vaccines.
2
17 5
18 15
19 16
20 16

About Satoko Matsueda

Satoko Matsueda is a scholar working on Immunology, Oncology and Hepatology, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (68 papers), Cancer Immunotherapy and Biomarkers (34 papers) and vaccines and immunoinformatics approaches (22 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (935 citations) and Cancer Research (169 citations). Satoko Matsueda has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Kyogo Itoh, Masanori Noguchi, Akira Yamada, Mamoru Harada, Tetsuro Sasada, Nobukazu Komatsu, Shigeki Shichijo, Helen Y. Wang, Akihisa Yao and Rongfu Wang. Their work appears in journals such as Journal of Clinical Oncology, Immunity and The Journal of Immunology.

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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