Kaoru Hida

1.3k citations
15 papers · 1.0k · h-index 13

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 7
    • RNA Interference and Gene Delivery 3
    • Lipid Membrane Structure and Behavior 2
    • CRISPR and Genetic Engineering 2

Kaoru Hida

15 papers receiving 1.0k citations

Peers

Kaoru Hida
Comparison fields: 5 of 94
  • Pharmaceutical Science 234
  • Microbiology 158
  • Biomaterials 190
  • Virology 61
  • Infectious Diseases 153
Replace Jing Tu with:
Jing Tu China
Victoria Kett United Kingdom
John P. McGee United States
Laura J. Peek United States
H. Jeffery United Kingdom
Marjan M. Fretz Netherlands
Timothy E. Hoen United States
Isabel Haro Spain
Sue D. Xiang Australia
Mehfuz Zaman Australia
Kaoru Hida relative to Jing Tu China Jing Tu's profile →
Citations per field
00.5×2.9×
Jing Tu · 1×
Citations per year

Countries citing papers authored by Kaoru Hida

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Hida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009306
2 2007224
3 2009199
4 201157
5 200754
6 200647
7 201134
8 200724
9 201723
10 201621
11 201218
12 201014
13 201714
14 20127
15 20203

About Kaoru Hida

Kaoru Hida is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Epidemiology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), RNA Interference and Gene Delivery (3 papers), Viral Infections and Immunology Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Cellular transport and secretion (2 papers), Reproductive tract infections research (2 papers), CRISPR and Genetic Engineering (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Pharmaceutical Science (234 citations), Microbiology (158 citations), Biomaterials (190 citations), Virology (61 citations) and Infectious Diseases (153 citations). Kaoru Hida has collaborated with scholars based in United States. Frequent co-authors include Justin Hanes, Samuel K. Lai, Yingying Wang, Richard A. Cone, S. Man, Trina A. Schroer, Carolyn E. Machamer, Anna Figueiredo, Shetha Shukair and Thomas J. Hope. Their work appears in journals such as Journal of Food Protection, International Journal of Food Microbiology, Virology, Journal of Virology and Advanced Drug Delivery Reviews.

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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