Naoko Imuta

424 citations
20 papers · 291 · h-index 9

Impact in

    • Escherichia coli research studies
    • Enterobacteriaceae and Cronobacter Research
    • Antibiotic Resistance in Bacteria

Papers in

    • Escherichia coli research studies 8
    • Pneumonia and Respiratory Infections 5
    • Respiratory viral infections research 3
    • Infective Endocarditis Diagnosis and Management 2

Naoko Imuta

19 papers receiving 287 citations

Peers

Naoko Imuta
Comparison fields: 5 of 51
  • Endocrinology 169
  • Molecular Medicine 55
  • Infectious Diseases 101
  • Microbiology 33
  • Food Science 58
Replace Kunihiro Manago with:
Kunihiro Manago Japan
Anshu Babbar Germany
Jale Moradi Iran
Yu-Ping Hong Taiwan
Camille Gomart France
Anne Dubouix France
Jurgita Samulioniené Denmark
Hinako Murakami Japan
Steven Dunn United Kingdom
Patricia Lozano-Zaraín Mexico
Naoko Imuta relative to Kunihiro Manago Japan Kunihiro Manago's profile →
Citations per field
00.5×3.3×
Kunihiro Manago · 1×
Citations per year

Countries citing papers authored by Naoko Imuta

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Imuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201568
2 201134
3 200734
4 200826
5 201924
6 201022
7 201821
8 201618
9 202112
10 20167
11 20135
12 20135
13 20194
14 20103
15 20212
16 20142
17 20162
18
20061
19 20181
20 20250

About Naoko Imuta

Naoko Imuta is a scholar working on Endocrinology, Epidemiology, Microbiology, Infectious Diseases and Ecology, having authored 20 papers that have together received 291 indexed citations. Recurring topics across this work include Escherichia coli research studies (8 papers), Bacterial Infections and Vaccines (7 papers), Bacteriophages and microbial interactions (5 papers), Pneumonia and Respiratory Infections (5 papers), Bacterial Genetics and Biotechnology (3 papers), Respiratory viral infections research (3 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology (169 citations), Molecular Medicine (55 citations), Infectious Diseases (101 citations), Microbiology (33 citations) and Food Science (58 citations). Naoko Imuta has collaborated with scholars based in Japan and Thailand. Frequent co-authors include Junichiro Nishi, Koichi Tokuda, Yoshifumi Kawano, Kunihiro Manago, Tadasuke Ooka, Yoshitoshi Ogura, Tetsuya Hayashi, Kazuko Seto, Yasuhiro Gotoh and Hideki Kawamura. Their work appears in journals such as Journal of Clinical Microbiology, Frontiers in Microbiology, The Pediatric Infectious Disease Journal, Pediatric Blood & Cancer and Infection and Immunity.

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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