Hiroyasu Aoki

504 citations
23 papers · 306 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 4
    • Cancer Immunotherapy and Biomarkers 6
    • CAR-T cell therapy research 6

Hiroyasu Aoki

22 papers receiving 286 citations

Peers

Hiroyasu Aoki
Comparison fields: 5 of 65
  • Immunology 124
  • Transplantation 14
  • Oncology 77
  • Pharmacology 33
  • Molecular Medicine 10
Replace Sarla Purohit with:
Sarla Purohit United States
Sanja Vodanovic‐Jankovic United States
Vladimir Perović Serbia
Aline Sähr Germany
Effie Mouhtouris Australia
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Brahma S. Sharma United States
Guofu Ding China
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Citations per field
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Citations per year

Countries citing papers authored by Hiroyasu Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyasu Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of FK-506 on human mixed lymphocyte reaction in vitro.
198755
2 202230
3 202126
4 202223
5 201923
6 198023
7 197221
8 198417
9 202113
10 198112
11
Screening of new and novel beta-lactam antibiotics.
197711
12 20249
13 19858
14 20237
15 19807
16 20216
17 20233
18 19943
19 20223
20 20212

About Hiroyasu Aoki

Hiroyasu Aoki is a scholar working on Immunology, Oncology, Molecular Biology, Pharmacology and Infectious Diseases, having authored 23 papers that have together received 306 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (6 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (4 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Immunology (124 citations), Transplantation (14 citations), Oncology (77 citations), Pharmacology (33 citations) and Molecular Medicine (10 citations). Hiroyasu Aoki has collaborated with scholars based in Japan, United Kingdom and New Zealand. Frequent co-authors include MASAKUNI OKUHARA, Satoshi Ueha, Shigeyuki Shichino, Kouji Matsushima, MASANOBU KOHSAKA, Noriaki Inamura, TOHRU KINO, Kunio Nakahara, Tetsuhisa Goto and Haru Ogiwara. Their work appears in journals such as Frontiers in Immunology, Infection and Immunity, Cancer Immunology Research, The Journal of Immunology and Communications Biology.

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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