Kaoru Takeuchi

4.3k citations
108 papers · 3.6k · h-index 32

Impact in

Papers in

    • Virology and Viral Diseases 52
    • Respiratory viral infections research 21
    • Influenza Virus Research Studies 7
    • Parvovirus B19 Infection Studies 10
    • SARS-CoV-2 and COVID-19 Research 8

Kaoru Takeuchi

106 papers receiving 3.5k citations

Peers

Kaoru Takeuchi
Comparison fields: 5 of 126
  • Epidemiology 2.2k
  • Infectious Diseases 850
  • Immunology 705
  • Animal Science and Zoology 326
  • Hepatology 227
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Yunwen Hu China
Daniel C. Pevear United States
Gerardo G. Kaplan United States
Kathie‐Anne Walters United States
Justin G. Julander United States
Zhong Wei Huang China
Tsutomu Takegami Japan
Hui John Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by Kaoru Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kaoru Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaoru Takeuchi Line = papers co-authored together Kaoru Takeuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993433
2 2002183
3 2003170
4 2000149
5 1994125
6 2004117
7 2011101
8 199087
9 200386
10 201684
11 201183
12 200183
13 199675
14 199169
15 200067
16 200165
17 200564
18 200363
19 199255
20 199154

About Kaoru Takeuchi

Kaoru Takeuchi is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine and Microbiology, having authored 108 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virology and Viral Diseases (52 papers), Respiratory viral infections research (21 papers), Viral Infections and Immunology Research (11 papers), Virus-based gene therapy research (11 papers), Animal Virus Infections Studies (10 papers), Parvovirus B19 Infection Studies (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Influenza Virus Research Studies (7 papers). The work is most often cited by research in Epidemiology (2.2k citations), Infectious Diseases (850 citations), Immunology (705 citations), Animal Science and Zoology (326 citations) and Hepatology (227 citations). Kaoru Takeuchi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Robert A. Lamb, Makoto Takeda, Naoko Miyajima, Chenhui Wang, Lawrence H. Pinto, Akio Yamada, Michiko Hishiyama, Kiyoshi Tanabayashi, Kyosuke Nagata and Yusuke Yanagi. Their work appears in journals such as Virology, Journal of Virology, Journal of General Virology, Archives of Virology and Nucleic Acids Research.

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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