Tadao Serikawa

819 citations
8 papers · 682 indexed · 1 hit paper · h-index 8
Topics
Genetic Mapping and Diversity in Plants and Animals (3 papers)Genetic Associations and Epidemiology (2 papers)Cell Adhesion Molecules Research (2 papers)

In The Last Decade

Tadao Serikawa

8 papers receiving 668 citations

Hit Papers

Alymphoplasia is caused by a point mutation in the mouse ...19992026200820171999100200300

Peers

Tadao Serikawa
Comparison fields: 5 of 81
  • Immunology 289
  • Molecular Biology 261
  • Cancer Research 198
  • Genetics 140
  • Oncology 119
Replace Rebecca C.J. Twells with:
Rebecca C.J. Twells United Kingdom
Lorna Gregory United Kingdom
Masataka Haneda Japan
Je Yeong Ko South Korea
Yolande Bastien Canada
Nam-Ho Choi-Miura Japan
F. D'Adamio Italy
Adam Yao Taiwan
Cecilia G. Sánchez United States
Vivian Utti United States
Tadao Serikawa relative to Rebecca C.J. Twells United Kingdom Rebecca C.J. Twells's profile →
Citations per field
00.5×3.6×
Rebecca C.J. Twells · 1×
Citations per year

Countries citing papers authored by Tadao Serikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tadao Serikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadao Serikawa

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 7
2 92
3
Alymphoplasia is caused by a point mutation in the mouse gene encoding Nf-κb-inducing kinasebreakdown →
379
4 92
5 36
6 11
7 14
8 51

About Tadao Serikawa

Tadao Serikawa is a scholar working on Immunology and Allergy, Genetics and Cancer Research, having authored 8 papers that have together received 682 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic Associations and Epidemiology (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (289 citations), Cancer Research (198 citations) and Genetics (140 citations). Tadao Serikawa has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Kazuhiro Kitada, Misao Suzuki, Kei Tashiro, Fumihiko Matsuda, Reiko Shinkura, Koichi Ikuta, Tasuku Honjo, K. Kogishi, Xavier Montagutelli and Takashi Kuramoto. Their work appears in journals such as Nature Genetics, Journal of Neurochemistry and Cellular 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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