Chieko Kai

156 papers receiving 4.4k citations

Chieko Kai's Hit Papers

An integrated expression atlas of miRNAs and their promoters in human and mouse 2017 · 449 citations
4490+4+8Years since publication100200300400500

Peers

Chieko Kai
Comparison fields: 5 of 110
  • Virology 253
  • Epidemiology 1.6k
  • Cancer Research 665
  • Animal Science and Zoology 269
  • Immunology 419
Replace Rolf Renne with:
Rolf Renne United States
Zsolt Ruzsics Germany
Bernhard Fleckenstein Germany
Deborah H. Spector United States
Asit K. Pattnaik United States
Benjamin E. Gewurz United States
Gavin W. G. Wilkinson United Kingdom
Ian A. York United States
K. Gopal Murti United States
Fred Rapp United States
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Citations per field
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Citations per year

Countries citing papers authored by Chieko Kai

Since Specialization
Citations

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

Fields of papers citing papers by Chieko Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chieko Kai, 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 Chieko Kai Line = papers co-authored together Chieko Kai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long Noncoding RNA NEAT1-Dependent SFPQ Relocation from Promoter Region to Paraspeckle Mediates IL8 Expression upon Immune Stimuli
Hit paper breakdown →
2014575
2 2015449
3
An integrated expression atlas of miRNAs and their promoters in human and mouse
Hit paper breakdown →
2017449
4 2008217
5
Nonhuman primate models of measles.
1996115
6 1997100
7 200695
8 201094
9 201091
10 201388
11 199684
12 200078
13 201473
14 201260
15 200959
16 201251
17 198844
18 199640
19 201339
20 201639

About Chieko Kai

Chieko Kai is a scholar working on Epidemiology, Animal Science and Zoology, Virology, Immunology and Small Animals, having authored 157 papers that have together received 4.5k indexed citations. Recurring topics across this work include Virology and Viral Diseases (83 papers), Animal Virus Infections Studies (16 papers), Virus-based gene therapy research (11 papers), Herpesvirus Infections and Treatments (7 papers), HIV Research and Treatment (6 papers), Hepatitis C virus research (5 papers), interferon and immune responses (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Virology (253 citations), Epidemiology (1.6k citations), Cancer Research (665 citations), Animal Science and Zoology (269 citations) and Immunology (419 citations). Chieko Kai has collaborated with scholars based in Japan, United Kingdom and Thailand. Frequent co-authors include Misako Yoneda, Hiroki Sato, Fusako Ikeda, Kyoko Tsukiyama–Kohara, Takeshi Mikami, Hiroki Sato, Takayuki Miyazawa, Kazuya Yamanouchi, Yasushi Kawaguchi and Hiroki Sato. Their work appears in journals such as Comparative Immunology Microbiology and Infectious Diseases, Journal of Virology, Virology, Journal of General Virology 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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