Hideki Akeda

801 citations
20 papers · 612 · h-index 14

Impact in

    • Bacterial Infections and Vaccines
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Complement system in diseases

Papers in

    • Pneumonia and Respiratory Infections 6
    • Respiratory viral infections research 3
    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • Immunodeficiency and Autoimmune Disorders 2
    • Immune Cell Function and Interaction 2

Hideki Akeda

20 papers receiving 595 citations

Peers

Hideki Akeda
Comparison fields: 5 of 78
  • Microbiology 142
  • Immunology 268
  • Epidemiology 207
  • Infectious Diseases 94
  • Endocrinology 23
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H. R. Hill United States
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Ann B. Bjornson United States
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Citations per field
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Citations per year

Countries citing papers authored by Hideki Akeda

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Akeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1992144
2 199479
3 198975
4 201555
5 201836
6 201329
7 199924
8 198124
9 198023
10 198821
11 200320
12 201418
13 199415
14 199113
15 20209
16 20137
17 19917
18 19937
19 20153
20
Efficacy of triple therapy with rabeprazole for Helicobacter pylori infection and CYP2C19 genetic polymorphism
20013

About Hideki Akeda

Hideki Akeda is a scholar working on Epidemiology, Immunology, Infectious Diseases, Microbiology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 612 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Respiratory viral infections research (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Viral Infections and Immunology Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Microbiology (142 citations), Immunology (268 citations), Epidemiology (207 citations), Infectious Diseases (94 citations) and Endocrinology (23 citations). Hideki Akeda has collaborated with scholars based in Japan and United States. Frequent co-authors include Kohji Ueda, Yumi Mizuno, Toshiro Hara, Kenji Okada, Hidetoshi Takada, Mariko Nagata, Yasunobu Yoshikai, Goro Matsuzaki, Takahiro Aoki and Masao Mitsuyama. Their work appears in journals such as Vaccine, The Journal of Pediatrics, British Journal of Haematology, Microbiology 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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