Masako Harada
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Extracellular vesicles in disease 10
- RNA Interference and Gene Delivery 6
- RNA modifications and cancer 3
-
- MicroRNA in disease regulation 10
- Co-authors
- Hiroaki Komuro (5 shared papers)Dan Grandér (7 shared papers)Alexis V. Forterre (1 shared paper)Florian Meisgen (3 shared papers)Ning Xu (3 shared papers)Andor Pivarcsi (3 shared papers)Mona Ståhle (3 shared papers)Enikö Sonkoly (3 shared papers)
- Journals
- PLoS ONE (2 papers)Blood (2 papers)Annals of Oncology (2 papers)BioDrugs (1 paper)Journal of Interferon & Cytokine Research (1 paper)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Masako Harada
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 472
- Molecular Biology 639
- Oncology 130
- Immunology 95
- Epidemiology 97
Countries citing papers authored by Masako Harada
This map shows the geographic impact of Masako 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 Masako Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masako Harada more than expected).
Fields of papers citing papers by Masako Harada
This network shows the impact of papers produced by Masako 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 Masako Harada. The network helps show where Masako Harada may publish in the future.
Co-authors
The 25 scholars most cited alongside Masako 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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 161 | |
| 2 | 2012 | 151 | |
| 3 | 2009 | 132 | |
| 4 | 2012 | 82 | |
| 5 | 1997 | 60 | |
| 6 | 2022 | 38 | |
| 7 | 2012 | 37 | |
| 8 | 2016 | 32 | |
| 9 | 2011 | 30 | |
| 10 | 2021 | 29 | |
| 11 | 2015 | 29 | |
| 12 | 2009 | 27 | |
| 13 | 2019 | 25 | |
| 14 | 2023 | 25 | |
| 15 | 2012 | 23 | |
| 16 | 1994 | 23 | |
| 17 | 2024 | 22 | |
| 18 | 2012 | 21 | |
| 19 | 2007 | 20 | |
| 20 | 1999 | 19 |
About Masako Harada
Masako Harada is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Surgery, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (10 papers), RNA Interference and Gene Delivery (6 papers), Lung Cancer Research Studies (3 papers), RNA modifications and cancer (3 papers), Cardiac tumors and thrombi (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Cancer Research (472 citations), Molecular Biology (639 citations), Oncology (130 citations), Immunology (95 citations) and Epidemiology (97 citations). Masako Harada has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Hiroaki Komuro, Dan Grandér, Alexis V. Forterre, Florian Meisgen, Ning Xu, Andor Pivarcsi, Mona Ståhle, Enikö Sonkoly, Jakob Lovén and Marie Arsenian‐Henriksson. Their work appears in journals such as PLoS ONE, Blood, Annals of Oncology, BioDrugs and Journal of Interferon & Cytokine Research.
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.