Naozumi Harada
- Cancer Research top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 5
- Immune cells in cancer 4
- Neurology top 5%
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 7
- Extracellular vesicles in disease 3
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 4
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- Multiple Sclerosis Research Studies 3
- Co-authors
- Hiroshi ShikuKazunari AkiyoshiShin‐ichi SawadaSada‐atsu MukaiYuko SatoKaori UmezakiYoshihiro SasakiTakaharu Yamamoto
- Cited by
- Cancer ResearchImmunologyNeurology
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Naozumi Harada
29 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 456
- Immunology 568
- Neurology 182
- Molecular Biology 1.3k
- Oncology 337
Countries citing papers authored by Naozumi Harada
This map shows the geographic impact of Naozumi Harada'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 Naozumi Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naozumi Harada more than expected).
Fields of papers citing papers by Naozumi Harada
This network shows the impact of papers produced by Naozumi Harada. 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 Naozumi Harada. The network helps show where Naozumi Harada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naozumi Harada, 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 | 2022 | 33 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 117 | |
| 8 | 2018 | 178 | |
| 9 | 2017 | 6 | |
| 10 | 2016 | 8 | |
| 11 | Engineering hybrid exosomes by membrane fusion with liposomesbreakdown → | 2016 | 605 |
| 12 | 2016 | 15 | |
| 13 | 2015 | 3 | |
| 14 | 2013 | 6 | |
| 15 | 2013 | 95 | |
| 16 | 2008 | 66 | |
| 17 | 2001 | 2 | |
| 18 | 2001 | 15 | |
| 19 | 1999 | 52 | |
| 20 | 1996 | 179 |
About Naozumi Harada
Naozumi Harada is a scholar working on Immunology, Oncology and Molecular Biology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), RNA Interference and Gene Delivery (7 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (4 papers), Immune cells in cancer (4 papers), Extracellular vesicles in disease (3 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Cancer Research (456 citations), Immunology (568 citations) and Neurology (182 citations). Naozumi Harada has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hiroshi Shiku, Kazunari Akiyoshi, Shin‐ichi Sawada, Sada‐atsu Mukai, Yuko Sato, Kaori Umezaki, Yoshihiro Sasaki, Takaharu Yamamoto, Kozo Kaibuchi and Eli Canaani. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.