Atsuko Sakata

995 total citations
20 papers, 850 citations indexed

About

Atsuko Sakata is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Atsuko Sakata has authored 20 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Atsuko Sakata's work include Glycosylation and Glycoproteins Research (5 papers), Immune Cell Function and Interaction (4 papers) and Receptor Mechanisms and Signaling (4 papers). Atsuko Sakata is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Immune Cell Function and Interaction (4 papers) and Receptor Mechanisms and Signaling (4 papers). Atsuko Sakata collaborates with scholars based in Japan, United States and Russia. Atsuko Sakata's co-authors include Ken-mei Sakata, Masako Seki, Souichi Oomizu, Toshiro Niki, Tomohiro Arikawa, Mitsuomi Hirashima, Naoki Saita, Akira Yamauchi, Vijay K. Kuchroo and Nozomu Nishi and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Atsuko Sakata

20 papers receiving 837 citations

Peers

Atsuko Sakata
Comparison fields: 5 of 72
  • Immunology 660
  • Molecular Biology 380
  • Oncology 149
  • Surgery 56
  • Physiology 51
Replace Ken-mei Sakata with:
Ken-mei Sakata Japan
Jan Kubach Germany
Ryuta Mukasa Japan
Barbara Metzler Switzerland
D.E. Zhang United States
Kursteen S. Price United States
Emma F. Barry Australia
Fiona C. Kimberley Netherlands
Srinivas Mamidi Germany
Patricia Vusio France
Ken-mei Sakata Japan View profile →
Citations per field, relative to Atsuko Sakata
Atsuko Sakata · 1×
Citations per year, relative to Atsuko Sakata
Atsuko Sakata · 1×

Countries citing papers authored by Atsuko Sakata

Since Specialization
Citations

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

Fields of papers citing papers by Atsuko Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuko Sakata

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Sakata. A scholar is included among the top collaborators of Atsuko Sakata 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 Atsuko Sakata. Atsuko Sakata 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 5
2 51
3 395
4 95
5 2
6 5
7 54
8 36
9 5
10 26
11 21
12 20
13 14
14 2
15 14
16 8
17 4
18 5
19 7
20 81

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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