Takamasa Ueno

8.0k citations
99 papers · 2.6k indexed · 1 hit paper · h-index 26
Topics
HIV Research and Treatment (57 papers)Immune Cell Function and Interaction (26 papers)HIV/AIDS drug development and treatment (25 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Takamasa Ueno

98 papers receiving 2.6k citations

Hit Papers

SARS-CoV-2 D614G spike mutation increases entry efficienc...20212026202220242021100200300

Peers

Takamasa Ueno
Comparison fields: 5 of 114
  • Infectious Diseases 1.3k
  • Virology 1.2k
  • Molecular Biology 841
  • Immunology 538
  • Epidemiology 354
Replace Alessandro Marcello with:
Alessandro Marcello Italy
Alla Gustchina United States
Kelly K. Lee United States
Jian Yu United States
Sheng Cui China
Andrea T. Da Poian Brazil
Youwei Yan United States
François Ferrón France
Michael Lanzer Germany
Mamuka Kvaratskhelia United States
Takamasa Ueno relative to Alessandro Marcello Italy Alessandro Marcello's profile →
Citations per field
00.5×1.5×
Alessandro Marcello · 1×
Citations per year

Countries citing papers authored by Takamasa Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Takamasa Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takamasa Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Takamasa Ueno. A scholar is included among the top collaborators of Takamasa Ueno 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 Takamasa Ueno. Takamasa Ueno 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
#WorkIndexed citations
1 1
2 2
3 1
4 0
5 2
6 14
7 9
8 3
9 6
10 21
11 34
12 21
13 68
14 20
15 6
16 12
17 19
18 14
19 37
20 61

About Takamasa Ueno

Takamasa Ueno is a scholar working on Virology, Infectious Diseases and Immunology, having authored 99 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (57 papers), Immune Cell Function and Interaction (26 papers) and HIV/AIDS drug development and treatment (25 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (1.3k citations) and Immunology (538 citations). Takamasa Ueno has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shin‐Ichi Aizawa, Kenji Oosawa, Hiroaki Mitsuya, Masafumi Takiguchi, Mark F. Kavlick, Shinichi Oka, Hideya Hayashi, Eddy Arnold, Sudhichai Chokekijchai and María L. Alcaide. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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