Akio Aono

1.1k citations
71 papers · 727 · h-index 17

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Pneumocystis jirovecii pneumonia detection and treatment
    • Pneumonia and Respiratory Infections

Papers in

    • Mycobacterium research and diagnosis 56
    • Pneumocystis jirovecii pneumonia detection and treatment 3
    • Tuberculosis Research and Epidemiology 45

Akio Aono

66 papers receiving 716 citations

Peers

Akio Aono
Comparison fields: 5 of 72
  • Infectious Diseases 476
  • Epidemiology 465
  • Microbiology 9
  • Small Animals 83
  • Molecular Medicine 27
Replace Kinuyo Chikamatsu with:
Kinuyo Chikamatsu Japan
Yuanyuan Shang China
Elizabeth Story‐Roller United States
Fausta Ardito Italy
Yuko Kazumi Japan
María Alice da Silva Telles Brazil
Françoise Roquet‐Banères France
Fengmin Huo China
M. T. Simonetti Italy
Marta Osório Ribeiro Brazil
Akio Aono relative to Kinuyo Chikamatsu Japan Kinuyo Chikamatsu's profile →
Citations per field
00.5×1.5×1.8×
Kinuyo Chikamatsu · 1×
Citations per year

Countries citing papers authored by Akio Aono

Since Specialization
Citations

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

Fields of papers citing papers by Akio Aono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200463
2 201654
3 201146
4 202029
5 201529
6 200227
7 201427
8 201826
9 201826
10 201721
11 201419
12 202018
13 201518
14 201918
15 201818
16 202217
17 201317
18 201312
19 201211
20 202211

About Akio Aono

Akio Aono is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Surgery and Molecular Biology, having authored 71 papers that have together received 727 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (56 papers), Tuberculosis Research and Epidemiology (45 papers), Infectious Diseases and Mycology (20 papers), Infectious Diseases and Tuberculosis (10 papers), Diagnosis and treatment of tuberculosis (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Cancer therapeutics and mechanisms (3 papers) and Actinomycetales infections and treatment (3 papers). The work is most often cited by research in Infectious Diseases (476 citations), Epidemiology (465 citations), Microbiology (9 citations), Small Animals (83 citations) and Molecular Medicine (27 citations). Akio Aono has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Satoshi Mitarai, Kinuyo Chikamatsu, Hiroyuki Yamada, Akiko Takaki, Chiyoji Abe, Kazue Hirano, Yuriko Igarashi, Yoshiro Murase, Kozo Morimoto and Masashi Yamaguchi. Their work appears in journals such as Journal of Microbiological Methods, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology, Microbiology Spectrum and Tuberculosis.

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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