Rikinari Hanayama
- Immunology top 0.5%
- Phagocytosis and Immune Regulation 20
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 7
- Cancer Research top 5%
- MicroRNA in disease regulation 13
- Physiology top 2%
- Erythrocyte Function and Pathophysiology 7
- Immunology and Allergy top 2%
- Molecular Biology top 5%
- Extracellular vesicles in disease 24
- RNA Interference and Gene Delivery 7
- Lipid Membrane Structure and Behavior 5
- Co-authors
- Shigekazu NagataMasato TanakaKeiko MiwaKohki KawaneAkihiro IwamatsuAzusa ShinoharaKatsuyuki AozasaYasuo Uchiyama
- Cited by
- ImmunologyCancer ResearchPhysiology
- Journals
- Scientific Reports (6 papers)Journal of Extracellular Vesicles (4 papers)The Journal of Immunology (3 papers)
- Partner nations
- JapanUnited StatesEstonia
In The Last Decade
Rikinari Hanayama
55 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 2.9k
- Cancer Research 585
- Physiology 992
- Immunology and Allergy 225
- Molecular Biology 2.1k
Countries citing papers authored by Rikinari Hanayama
This map shows the geographic impact of Rikinari Hanayama'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 Rikinari Hanayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rikinari Hanayama more than expected).
Fields of papers citing papers by Rikinari Hanayama
This network shows the impact of papers produced by Rikinari Hanayama. 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 Rikinari Hanayama. The network helps show where Rikinari Hanayama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rikinari Hanayama, 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 | 2025 | 3 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 25 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 54 | |
| 11 | 2020 | 29 | |
| 12 | 2019 | 47 | |
| 13 | 2016 | 378 | |
| 14 | 2006 | 140 | |
| 15 | Autoimmune Disease and Impaired Uptake of Apoptotic Cells in MFG-E8-Deficient Micebreakdown → | 2004 | 777 |
| 16 | 2004 | 103 | |
| 17 | 2004 | 222 | |
| 18 | 2004 | 98 | |
| 19 | 2003 | 57 | |
| 20 | 1998 | 13 |
About Rikinari Hanayama
Rikinari Hanayama is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 57 papers that have together received 4.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (24 papers), Phagocytosis and Immune Regulation (20 papers), MicroRNA in disease regulation (13 papers), Immune Cell Function and Interaction (8 papers), Erythrocyte Function and Pathophysiology (7 papers), RNA Interference and Gene Delivery (7 papers), Immunotherapy and Immune Responses (7 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Immunology (2.9k citations), Cancer Research (585 citations) and Physiology (992 citations). Rikinari Hanayama has collaborated with scholars based in Japan, United States and Estonia. Frequent co-authors include Shigekazu Nagata, Masato Tanaka, Keiko Miwa, Kohki Kawane, Akihiro Iwamatsu, Azusa Shinohara, Katsuyuki Aozasa, Yasuo Uchiyama, Masato Koike and Takeshi Yoshida. Their work appears in journals such as Scientific Reports, Journal of Extracellular Vesicles, The Journal of Immunology, Nano Letters and Frontiers in 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.