Ami Aoki

819 citations
36 papers · 637 · h-index 14

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • IL-33, ST2, and ILC Pathways
  • Physiology top 10%
    • Asthma and respiratory diseases

Papers in

    • T-cell and B-cell Immunology 5
    • IL-33, ST2, and ILC Pathways 3
    • Asthma and respiratory diseases 9

Ami Aoki

34 papers receiving 631 citations

Peers

Ami Aoki
Comparison fields: 5 of 58
  • Immunology 194
  • Physiology 142
  • Immunology and Allergy 25
  • Epidemiology 121
  • Pulmonary and Respiratory Medicine 87
Replace Matt Edwards with:
Matt Edwards United Kingdom
Joey Schyns Belgium
Chun‐Liang Chou Taiwan
Boaz Palterer Italy
Richard Brooker United Kingdom
Yutaro Nakamura Japan
H J Fuchs United States
Miglena G. Prabagar United States
Ju Ee Seet Singapore
Riley C Myers United States
Ami Aoki relative to Matt Edwards United Kingdom Matt Edwards's profile →
Citations per field
00.5×2×4×5.8×
Matt Edwards · 1×
Citations per year

Countries citing papers authored by Ami Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Ami Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019109
2 201783
3 201552
4 202044
5 202142
6 202338
7 201928
8 201927
9 201924
10 202321
11 202220
12 202118
13 201715
14 202015
15 200813
16 202212
17 202212
18 202011
19 20219
20 20187

About Ami Aoki

Ami Aoki is a scholar working on Immunology, Physiology, Epidemiology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 36 papers that have together received 637 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (9 papers), T-cell and B-cell Immunology (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Mycobacterium research and diagnosis (4 papers), IL-33, ST2, and ILC Pathways (3 papers), COVID-19 Clinical Research Studies (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Immunology (194 citations), Physiology (142 citations), Immunology and Allergy (25 citations), Epidemiology (121 citations) and Pulmonary and Respiratory Medicine (87 citations). Ami Aoki has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Toshinori Nakayama, Kiyoshi Hirahara, Masahiro Kiuchi, Kota Kokubo, Takuro Sakagami, Toshinori Takada, Kenjiro Shima, Takashi Hasegawa, Toshiaki Kikuchi and Toshiyuki Koya. Their work appears in journals such as International Archives of Allergy and Immunology, Allergology International, Journal of Clinical Immunology, Frontiers in Immunology and Journal of Allergy and Clinical Immunology.

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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