Naoko Ando

846 citations
37 papers · 661 · h-index 14

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • RNA Interference and Gene Delivery 3
    • Virus-based gene therapy research 3

Naoko Ando

35 papers receiving 640 citations

Peers

Naoko Ando
Comparison fields: 5 of 118
  • Filtration and Separation 29
  • Neurology 103
  • General Dentistry 9
  • Sensory Systems 22
  • Organic Chemistry 108
Replace Marija Ćurlin with:
Marija Ćurlin Croatia
James R. Carey Taiwan
A Thibaut Belgium
Tomoyuki Okada Japan
Tingting Gu China
Emanuela Monari Italy
Patrícia Pereira Portugal
Xiaoxiao Xu China
Christopher G. Thanos United States
Benjamin E. Smith United States
Naoko Ando relative to Marija Ćurlin Croatia Marija Ćurlin's profile →
Citations per field
00.5×7.3×
Marija Ćurlin · 1×
Citations per year

Countries citing papers authored by Naoko Ando

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019189
2 199080
3 199447
4 199543
5 199736
6 200122
7 202019
8 201017
9 198217
10 201916
11 198915
12 199315
13 202013
14 201913
15 202211
16 201811
17 199210
18 20199
19 20209
20 20209

About Naoko Ando

Naoko Ando is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Neurology and Immunology, having authored 37 papers that have together received 661 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Healthcare and Environmental Waste Management (3 papers), Vector-Borne Animal Diseases (3 papers), Vestibular and auditory disorders (3 papers), Animal Disease Management and Epidemiology (3 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Filtration and Separation (29 citations), Neurology (103 citations), General Dentistry (9 citations), Sensory Systems (22 citations) and Organic Chemistry (108 citations). Naoko Ando has collaborated with scholars based in Japan, United Kingdom and Portugal. Frequent co-authors include Masayuki Ishihara, Shingo Nakamura, Masahiro Sato, Yoshikazu Shinoda, T. Takayama, Yoko Sato, Masanori Fujita, Hitoshi Matsuki, Kinsi Motomura and Makoto Aratono. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Neurophysiology, Frontiers in Microbiology, Molecules and Wood Science and Technology.

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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