Y. Urata

508 total citations
24 papers, 423 citations indexed

About

Y. Urata is a scholar working on Genetics, Biotechnology and Molecular Biology. According to data from OpenAlex, Y. Urata has authored 24 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 11 papers in Biotechnology and 8 papers in Molecular Biology. Recurrent topics in Y. Urata's work include Virus-based gene therapy research (14 papers), Cancer Research and Treatments (11 papers) and RNA Interference and Gene Delivery (4 papers). Y. Urata is often cited by papers focused on Virus-based gene therapy research (14 papers), Cancer Research and Treatments (11 papers) and RNA Interference and Gene Delivery (4 papers). Y. Urata collaborates with scholars based in Japan, United States and Australia. Y. Urata's co-authors include Toshiyoshi Fujiwara, Shunsuke Kagawa, Nobuyuki Tanaka, Yosuke Hashimoto, Yuichi Watanabe, Futoshi Uno, H. Kawamura, Satoru Kyo, Ryo Sakai and Masayoshi Hioki and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and British Journal of Cancer.

In The Last Decade

Y. Urata

23 papers receiving 417 citations

Peers

Y. Urata
Comparison fields: 5 of 65
  • Genetics 248
  • Molecular Biology 196
  • Oncology 181
  • Biotechnology 140
  • Epidemiology 45
Replace Xiaoyuan Jia with:
Xiaoyuan Jia China
Marie C. Chia Canada
Paul D. Boucher United States
Glen P. Marszalowicz United States
Valérie Le Fourn Switzerland
Bojana Bojović Canada
William H. Jackson United States
Kimiko Yoshida Japan
Iyshwarya Balasubramanian United States
Rahmen Bin Ali Netherlands
Xiaoyuan Jia China View profile →
Citations per field, relative to Y. Urata
Y. Urata · 1×
Citations per year, relative to Y. Urata
Y. Urata · 1×

Countries citing papers authored by Y. Urata

Since Specialization
Citations

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

Fields of papers citing papers by Y. Urata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Urata

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Urata. A scholar is included among the top collaborators of Y. Urata 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 Y. Urata. Y. Urata 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 4
3 6
4 41
5 2
6 9
7 11
8 20
9 16
10 29
11 42
12 57
13 31
14 12
15 76
16 22
17
Effects of JTV-506, a new K+ channel activator, on airway smooth muscle contraction and systemic blood pressure.
5
18
Protocols to demonstrate slowing of Alzheimer disease progression. Position paper from the International Working Group on Harmonization of Dementia Drug Guidelines. The Disease Progression Sub-Group.
28
19 1
20 1

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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