Asuka Sakata

1.3k total citations
36 papers, 915 citations indexed

About

Asuka Sakata is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Asuka Sakata has authored 36 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Asuka Sakata's work include Platelet Disorders and Treatments (10 papers), Hemophilia Treatment and Research (8 papers) and Virus-based gene therapy research (5 papers). Asuka Sakata is often cited by papers focused on Platelet Disorders and Treatments (10 papers), Hemophilia Treatment and Research (8 papers) and Virus-based gene therapy research (5 papers). Asuka Sakata collaborates with scholars based in Japan, United States and Brazil. Asuka Sakata's co-authors include Satoshi Nishimura, Tsukasa Ohmori, Koji Eto, Yoichi Sakata, Toshihiro Fujii, Shigekazu Nagata, Seiji Madoiwa, Jun Mimuro, Hiroaki Mizukami and Keiya Ozawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Asuka Sakata

30 papers receiving 894 citations

Peers

Asuka Sakata
Comparison fields: 5 of 84
  • Molecular Biology 365
  • Hematology 271
  • Genetics 184
  • Immunology 154
  • Epidemiology 139
Replace Yutong Su with:
Yutong Su China
Melvin M. Denis United States
Marie‐Christine Bouton France
Ramona J. Petrovan United States
Ginette Schiby Israel
Astrid De Vriese Belgium
Harumi Y. Mukai Japan
Toshimasa Shimizu Japan
Julien Villeneuve France
Zhizhong Ye China
Yutong Su China View profile →
Citations per field, relative to Asuka Sakata
Asuka Sakata · 1×
Citations per year, relative to Asuka Sakata
Asuka Sakata · 1×

Countries citing papers authored by Asuka Sakata

Since Specialization
Citations

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

Fields of papers citing papers by Asuka Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asuka Sakata

This figure shows the co-authorship network connecting the top 25 collaborators of Asuka Sakata. A scholar is included among the top collaborators of Asuka 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 Asuka Sakata. Asuka 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 0
2 0
3 1
4 3
5 4
6 0
7 10
8 15
9 71
10 0
11 109
12 6
13 21
14 15
15 59
16 3
17 23
18 8
19 2
20
Delayed Abscess in a Femoral Hernial Sac Secondary to Diffuse Peritonitis : report of a case
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026