Takeki Uehara

5.2k citations
86 papers · 3.6k indexed · 3 hit papers · h-index 30
Topics
Influenza Virus Research Studies (17 papers)Respiratory viral infections research (16 papers)Liver Disease Diagnosis and Treatment (15 papers)

In The Last Decade

Takeki Uehara

84 papers receiving 3.5k citations

Hit Papers

Baloxavir Marboxil for Uncomplicated Influenza in Adults ...2018202620202023201820182024100200300400500

Peers

Takeki Uehara
Comparison fields: 5 of 131
  • Epidemiology 1.6k
  • Molecular Biology 1.2k
  • Infectious Diseases 737
  • Computational Theory and Mathematics 437
  • Cancer Research 385
Replace Lena E. Friberg with:
Lena E. Friberg Sweden
Michel Tod France
Julie A. Stone United States
Zifeng Yang China
Antonello Di Paolo Italy
Wu Zhong China
Adrian S. Ray United States
Jan Snoeys Belgium
Bruno Lacarelle France
Sudeep Pushpakom United Kingdom
Takeki Uehara relative to Lena E. Friberg Sweden Lena E. Friberg's profile →
Citations per field
00.5×2.7×
Lena E. Friberg · 1×
Citations per year

Countries citing papers authored by Takeki Uehara

Since Specialization
Citations

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

Fields of papers citing papers by Takeki Uehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeki Uehara

This figure shows the co-authorship network connecting the top 25 collaborators of Takeki Uehara. A scholar is included among the top collaborators of Takeki Uehara 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 Takeki Uehara. Takeki Uehara 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 8
2 11
3 6
4 29
5 8
6 90
7 29
8 31
9 166
10 22
11 6
12 16
13 50
14 11
15 27
16 69
17 55
18 48
19 28
20 147

About Takeki Uehara

Takeki Uehara is a scholar working on Pharmacology, Hepatology and Cancer Research, having authored 86 papers that have together received 3.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (17 papers), Respiratory viral infections research (16 papers) and Liver Disease Diagnosis and Treatment (15 papers). The work is most often cited by research in Epidemiology (1.6k citations), Infectious Diseases (737 citations) and Pharmacology (306 citations). Takeki Uehara has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takao Shishido, Kenji J. Tsuchiya, Ivan Rusyn, Keiko Kawaguchi, Frederick G. Hayden, Tetsuro Urushidani, Simon Portsmouth, Atsushi Ono, Igor P. Pogribny and Mikinori Torii. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases and Scientific Reports.

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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