Takeaki Imamura

428 citations
14 papers · 217 indexed · h-index 5
Topics
COVID-19 epidemiological studies (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Respiratory viral infections research (3 papers)
Partner nations
JapanSingaporeZambia

In The Last Decade

Takeaki Imamura

12 papers receiving 212 citations

Peers

Takeaki Imamura
Comparison fields: 5 of 61
  • Modeling and Simulation 125
  • Infectious Diseases 100
  • Clinical Psychology 55
  • Pulmonary and Respiratory Medicine 39
  • Epidemiology 35
Replace Ikkoh Yasuda with:
Ikkoh Yasuda Japan
Hannah L. Kirking United States
Graham R. Northrup United States
Yura K Ko Japan
Kathleen A. Ritger United States
Tair Kiphibane United States
Panagiotis Galanis Greece
Hiu Tai Chan United States
The Lancet Respiratory Medicine
Kiva A. Fisher United States
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Citations per field
00.5×1.5×
Ikkoh Yasuda · 1×
Citations per year

Countries citing papers authored by Takeaki Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Takeaki Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeaki Imamura

This figure shows the co-authorship network connecting the top 25 collaborators of Takeaki Imamura. A scholar is included among the top collaborators of Takeaki Imamura 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 Takeaki Imamura. Takeaki Imamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 1
3 12
4 16
5 19
6 2
7 2
8 151
9 2
10 0
11 3
12 0
13
[Cerebellar atrophy and persistent cerebellar ataxia after acute intoxication of phenytoin].
6
14
[Histochemistory and clinical aspect of chronic sinusitis].
1

About Takeaki Imamura

Takeaki Imamura is a scholar working on Modeling and Simulation, Infectious Diseases and Otorhinolaryngology, having authored 14 papers that have together received 217 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Modeling and Simulation (125 citations), Infectious Diseases (100 citations) and Clinical Psychology (55 citations). Takeaki Imamura has collaborated with scholars based in Japan, Singapore and Zambia. Frequent co-authors include Mayuko Saito, Hitoshi Oshitani, Reiko Miyahara, Tadatsugu Imamura, Yuki Furuse, Yura K Ko, Motoi Suzuki, Naho Tsuchiya, Ikkoh Yasuda and Eiichiro Sando. Their work appears in journals such as Scientific Reports, Emerging infectious diseases and BMC Infectious Diseases.

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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