Hiroyasu Aoki

490 total citations
23 papers, 293 citations indexed

About

Hiroyasu Aoki is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Hiroyasu Aoki has authored 23 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 8 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Hiroyasu Aoki's work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Hiroyasu Aoki is often cited by papers focused on Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Hiroyasu Aoki collaborates with scholars based in Japan, United Kingdom and New Zealand. Hiroyasu Aoki's co-authors include MASAKUNI OKUHARA, Shigeyuki Shichino, Satoshi Ueha, Kouji Matsushima, MASANOBU KOHSAKA, Noriaki Inamura, Haru Ogiwara, TOHRU KINO, Takenori Ochiai and Kunio Nakahara and has published in prestigious journals such as The Journal of Immunology, Antimicrobial Agents and Chemotherapy and Infection and Immunity.

In The Last Decade

Hiroyasu Aoki

22 papers receiving 272 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hiroyasu Aoki Japan 11 136 94 83 34 20 23 293
Sanja Vodanovic‐Jankovic United States 12 289 2.1× 147 1.6× 59 0.7× 103 3.0× 11 0.6× 14 568
Sarla Purohit United States 7 117 0.9× 174 1.9× 38 0.5× 14 0.4× 34 1.7× 9 373
A Dimitriu France 11 224 1.6× 67 0.7× 33 0.4× 16 0.5× 26 1.3× 30 366
Nathan Ryan United States 12 109 0.8× 107 1.1× 92 1.1× 7 0.2× 20 1.0× 19 351
Ute Greczmiel Switzerland 8 145 1.1× 152 1.6× 63 0.8× 37 1.1× 3 0.1× 10 328
Jung Koo Youn South Korea 11 194 1.4× 93 1.0× 103 1.2× 13 0.4× 47 2.4× 30 410
Suchitra Mohanty India 8 163 1.2× 194 2.1× 113 1.4× 9 0.3× 9 0.5× 17 453
Brahma S. Sharma United States 11 208 1.5× 103 1.1× 77 0.9× 10 0.3× 7 0.3× 29 446
Paul Q. Patek United States 11 203 1.5× 176 1.9× 79 1.0× 16 0.5× 14 0.7× 26 425
É. Rosenthal Israel 7 122 0.9× 104 1.1× 39 0.5× 28 0.8× 39 1.9× 17 339

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-authorship network of co-authors of Hiroyasu Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyasu Aoki. A scholar is included among the top collaborators of Hiroyasu Aoki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiroyasu Aoki. Hiroyasu Aoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aoki, Hiroyasu, Haruka Abe, Peng Xu, et al.. (2024). CD8+ T cell memory induced by successive SARS-CoV-2 mRNA vaccinations is characterized by shifts in clonal dominance. Cell Reports. 43(3). 113887–113887. 6 indexed citations
2.
Aoki, Hiroyasu, Haru Ogiwara, Haruka Abe, et al.. (2023). Clonal Spreading of Tumor-Infiltrating T Cells Underlies the Robust Antitumor Immune Responses. Cancer Immunology Research. 11(6). 847–862. 5 indexed citations
3.
Haniuda, Kei, et al.. (2023). Commensal Bacteria and the Lung Environment Are Responsible for Th2-Mediated Memory Yielding Natural IgE in MyD88-Deficient Mice. The Journal of Immunology. 210(7). 959–972. 3 indexed citations
4.
Shichino, Shigeyuki, Satoshi Ueha, Shinichi Hashimoto, et al.. (2022). TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq. Communications Biology. 5(1). 602–602. 27 indexed citations
5.
Aoki, Hiroyasu, Shigeyuki Shichino, Kouji Matsushima, & Satoshi Ueha. (2022). Revealing Clonal Responses of Tumor-Reactive T-Cells Through T Cell Receptor Repertoire Analysis. Frontiers in Immunology. 13. 807696–807696. 21 indexed citations
6.
Kitabatake, Masahiro, Noriko Ouji-Sageshima, Atsushi Hara, et al.. (2022). Transition of Antibody Titers after SARS-CoV-2 mRNA Vaccination in Japanese Healthcare Workers. Japanese Journal of Infectious Diseases. 76(1). 72–76. 3 indexed citations
7.
Aoki, Hiroyasu, Satoshi Ueha, Shigeyuki Shichino, et al.. (2021). Transient Depletion of CD4+ Cells Induces Remodeling of the TCR Repertoire in Gastrointestinal Cancer. Cancer Immunology Research. 9(6). 624–636. 13 indexed citations
8.
Aoki, Hiroyasu, Satoshi Ueha, Yoshiaki Nakamura, et al.. (2021). Greater extent of blood‐tumor TCR repertoire overlap is associated with favorable clinical responses to PD‐1 blockade. Cancer Science. 112(8). 2993–3004. 5 indexed citations
9.
Chen, Chang-Yu, Satoshi Ueha, Yoshiro Ishiwata, et al.. (2021). Combining an Alarmin HMGN1 Peptide with PD-L1 Blockade Results in Robust Antitumor Effects with a Concomitant Increase of Stem-Like/Progenitor Exhausted CD8+ T Cells. Cancer Immunology Research. 9(10). 1214–1228. 24 indexed citations
10.
Aoki, Hiroyasu, et al.. (2021). Proportional Tumor Infiltration of T Cells via Circulation Duplicates the T Cell Receptor Repertoire in a Bilateral Tumor Mouse Model. Frontiers in Immunology. 12. 744381–744381. 2 indexed citations
11.
Aoki, Hiroyasu, Satoshi Ueha, Shigeyuki Shichino, et al.. (2019). TCR Repertoire Analysis Reveals Mobilization of Novel CD8+ T Cell Clones Into the Cancer-Immunity Cycle Following Anti-CD4 Antibody Administration. Frontiers in Immunology. 9. 3185–3185. 23 indexed citations
12.
Iwagaki, Hiromi, et al.. (1994). Tumour Necrosis Factor-α Upregulates Transferrin Receptors in K 562 Cells. Journal of International Medical Research. 22(3). 145–152. 3 indexed citations
13.
14.
15.
Ito, Yuriko, et al.. (1980). Enumeration of immune interferon-producing cells induced by allogeneic stimulation. Infection and Immunity. 28(2). 542–545. 7 indexed citations
16.
Aoki, Hiroyasu & MASAKUNI OKUHARA. (1980). Natural Beta-Lactam Antibiotics. Annual Review of Microbiology. 34(1). 159–181. 23 indexed citations
17.
Aoki, Hiroyasu, K Kunugita, JUNJI HOSODA, & Hiroshi Imanaka. (1977). Screening of new and novel beta-lactam antibiotics.. PubMed. 30 Suppl. 207–17. 11 indexed citations
18.
Hori, Mikio, et al.. (1977). ChemInform Abstract: REACTIONS OF STABLE YLIDIC 1‐THIANAPHTHALENE WITH ELECTROPHILES. A NEW RING EXPANSION REACTION. Chemischer Informationsdienst. 8(17). 1 indexed citations
19.
Aoki, Hiroyasu, et al.. (1975). [Incompatibility grouping of R factor detected from Aeromonas hydrophila and A. salmonicida].. PubMed. 30(1). 240–240. 1 indexed citations
20.
Miyairi, Norimasa, T. Miyoshi, Hiroyasu Aoki, et al.. (1972). Thiopeptin, a New Feed Additive Antibiotic: Microbiological and Chemical Studies. Antimicrobial Agents and Chemotherapy. 1(3). 192–196. 21 indexed citations

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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