Yuko Tsuruta

3.3k total citations
50 papers, 2.8k citations indexed

About

Yuko Tsuruta is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yuko Tsuruta has authored 50 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Immunology and 13 papers in Oncology. Recurrent topics in Yuko Tsuruta's work include Virus-based gene therapy research (8 papers), CAR-T cell therapy research (7 papers) and Immune Response and Inflammation (6 papers). Yuko Tsuruta is often cited by papers focused on Virus-based gene therapy research (8 papers), CAR-T cell therapy research (7 papers) and Immune Response and Inflammation (6 papers). Yuko Tsuruta collaborates with scholars based in United States, Japan and France. Yuko Tsuruta's co-authors include Edward Abraham, Gang Liu, Young‐Jun Park, Emmanuel Lorne, Xia Zhao, Jaroslaw W. Zmijewski, Arnaud Friggeri, Yanping Yang, Gene P. Siegal and Yonggang Sha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Yuko Tsuruta

49 papers receiving 2.8k citations

Peers

Yuko Tsuruta
Comparison fields: 5 of 118
  • Molecular Biology 1.3k
  • Immunology 852
  • Cancer Research 532
  • Physiology 427
  • Oncology 390
Replace Satoshi Fujii with:
Satoshi Fujii Japan
Daniel Fishman Israel
Barbara K. Yoza United States
Mariano Sánchez Crespo Spain
Randall S. Frey United States
Suk‐Hwan Baek South Korea
Xiaonan Han United States
Ali Andalibi United States
Aleksander Koj Poland
Ranjit S. Parhar Saudi Arabia
Satoshi Fujii Japan View profile →
Citations per field, relative to Yuko Tsuruta
Yuko Tsuruta · 1×
Citations per year, relative to Yuko Tsuruta
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Countries citing papers authored by Yuko Tsuruta

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Tsuruta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Tsuruta

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Tsuruta. A scholar is included among the top collaborators of Yuko Tsuruta 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 Yuko Tsuruta. Yuko Tsuruta 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 58
3 20
4 15
5 20
6 12
7 110
8 84
9 98
10 155
11 31
12 142
13 76
14 38
15 20
16 26
17 12
18
Loss of Fhit protein expression in high-grade and advanced stage endometrial carcinomas.
3
19 59
20 21

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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