Hisataka Sabe

9.8k total citations · 3 hit papers
138 papers, 8.2k citations indexed

About

Hisataka Sabe is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Hisataka Sabe has authored 138 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 43 papers in Cell Biology and 36 papers in Immunology and Allergy. Recurrent topics in Hisataka Sabe's work include Cell Adhesion Molecules Research (36 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Cellular Mechanics and Interactions (16 papers). Hisataka Sabe is often cited by papers focused on Cell Adhesion Molecules Research (36 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Cellular Mechanics and Interactions (16 papers). Hisataka Sabe collaborates with scholars based in Japan, United States and Germany. Hisataka Sabe's co-authors include Shigeru Hashimoto, Yuichi Mazaki, Hajime Yano, Hidesaburô Hanafusa, Yasuhito Onodera, Ari Hashimoto, Akiko Hata, Tasuku Honjo, Tomohiro Kurosaki and Steven E. Shoelson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hisataka Sabe

138 papers receiving 8.1k citations

Hit Papers

Specific motifs recognized by the SH2 domains of Csk, 3BP... 1984 2026 1998 2012 1994 1994 1984 250 500 750

Peers

Hisataka Sabe
Comparison fields: 5 of 124
  • Molecular Biology 4.8k
  • Immunology 2.4k
  • Cell Biology 2.3k
  • Immunology and Allergy 1.6k
  • Oncology 1.5k
Replace Peter van der Geer with:
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Peter van der Geer United States View profile →
Citations per field, relative to Hisataka Sabe
Hisataka Sabe · 1×
Citations per year, relative to Hisataka Sabe
Hisataka Sabe · 1×

Countries citing papers authored by Hisataka Sabe

Since Specialization
Citations

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

Fields of papers citing papers by Hisataka Sabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisataka Sabe

This figure shows the co-authorship network connecting the top 25 collaborators of Hisataka Sabe. A scholar is included among the top collaborators of Hisataka Sabe 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 Hisataka Sabe. Hisataka Sabe 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
# Work Indexed citations
1 6
2 7
3 12
4 21
5 20
6 22
7 35
8
上部尿路尿路上皮癌における赤血球蛋白質バンド4.1like5発現の予後的意義【Powered by NICT】
1
9 39
10 48
11 89
12 48
13 57
14 15
15 66
16 47
17 222
18 92
19 54
20 20

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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2026