Hideo Takasu

681 citations
15 papers · 571 indexed · h-index 10
Topics
Immunotherapy and Immune Responses (11 papers)Immune Cell Function and Interaction (4 papers)vaccines and immunoinformatics approaches (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Hideo Takasu

15 papers receiving 564 citations

Peers

Hideo Takasu
Comparison fields: 5 of 53
  • Immunology 360
  • Molecular Biology 320
  • Oncology 226
  • Cancer Research 70
  • Radiology, Nuclear Medicine and Imaging 40
Replace Fumihiko Niiya with:
Fumihiko Niiya Japan
Long V. Ly Netherlands
Nancy J. Crowley United States
Claudia Frei Switzerland
Theresa A. Colligon United States
Masashi Aki Japan
Xingluo Liu United States
Ilaria Cattarossi Italy
Annamaria De Filippo Italy
Desmond Roche Ireland
Hideo Takasu relative to Fumihiko Niiya Japan Fumihiko Niiya's profile →
Citations per field
00.5×1.5×
Fumihiko Niiya · 1×
Citations per year

Countries citing papers authored by Hideo Takasu

Since Specialization
Citations

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

Fields of papers citing papers by Hideo Takasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideo Takasu

This figure shows the co-authorship network connecting the top 25 collaborators of Hideo Takasu. A scholar is included among the top collaborators of Hideo Takasu 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 Hideo Takasu. Hideo Takasu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 5
2 25
3
Expression and function of FERMT genes in colon carcinoma cells.
12
4 31
5 81
6 29
7 15
8 21
9 5
10 9
11
Identification of a gene coding for a protein possessing shared tumor epitopes capable of inducing HLA-A24-restricted cytotoxic T lymphocytes in cancer patients.
138
12 3
13 184
14 10
15 3

About Hideo Takasu

Hideo Takasu is a scholar working on Immunology, Endocrinology and Molecular Biology, having authored 15 papers that have together received 571 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Immunology (360 citations), Oncology (226 citations) and Molecular Biology (320 citations). Hideo Takasu has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideaki Yamana, Damu Yang, Shigeki Shichijo, Kyogo Itoh, Yasuhisa Imai, Masanobu Nakao, Fumihiko Niiya, Yuji Toh, Kenji Harada and Kazuo Shirouzu. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Clinical Cancer Research.

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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