Hideki Hanaoka
- Immunology top 5%
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 7
- Plant Science top 2%
- Oncology top 5%
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 4
- Epidemiology top 5%
- Cervical Cancer and HPV Research 4
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments 7
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- Health Systems, Economic Evaluations, Quality of Life 4
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- Mental Health Research Topics 4
- Co-authors
- Tomohiko KatoYoshinori OhsumiTakeshi NodaSatoshi TabataShusei SatoKohki YoshimotoYumiko ShiranoDaisuke Shibata
- Cited by
- ImmunologyPlant ScienceOncology
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hideki Hanaoka
72 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Immunology 626
- Plant Science 951
- Oncology 542
- Epidemiology 655
- Obstetrics and Gynecology 100
Countries citing papers authored by Hideki Hanaoka
This map shows the geographic impact of Hideki Hanaoka'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 Hanaoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Hanaoka more than expected).
Fields of papers citing papers by Hideki Hanaoka
This network shows the impact of papers produced by Hideki Hanaoka. 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 Hanaoka. The network helps show where Hideki Hanaoka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideki Hanaoka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 91 | |
| 10 | 2020 | 0 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 19 | |
| 13 | 2016 | 3 | |
| 14 | 2015 | 40 | |
| 15 | 2015 | 22 | |
| 16 | 2015 | 35 | |
| 17 | 2014 | 78 | |
| 18 | 2013 | 14 | |
| 19 | 2011 | 8 | |
| 20 | 2009 | 174 |
About Hideki Hanaoka
Hideki Hanaoka is a scholar working on Toxicology, Obstetrics and Gynecology and Oncology, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers), Endometrial and Cervical Cancer Treatments (7 papers), CAR-T cell therapy research (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Mental Health Research Topics (4 papers), Cervical Cancer and HPV Research (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Immunology (626 citations), Plant Science (951 citations) and Oncology (542 citations). Hideki Hanaoka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tomohiko Kato, Yoshinori Ohsumi, Takeshi Noda, Satoshi Tabata, Shusei Sato, Kohki Yoshimoto, Yumiko Shirano, Daisuke Shibata, Hiroaki Hayashi and Toshinori Nakayama. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of 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.