Noboru Asada
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Hematology 42
- Hematopoietic Stem Cell Transplantation 30
- Acute Myeloid Leukemia Research 12
- Oncology 24
- CAR-T cell therapy research 9
- Co-authors
- Paul S. Frenette (8 shared papers)Masami Takeuchi (12 shared papers)Halley Pierce (4 shared papers)Kosei Matsue (10 shared papers)Yoshio Katayama (12 shared papers)Chunliang Xu (2 shared papers)Xin Gao (2 shared papers)Zichen Wang (1 shared paper)
- Journals
- International Journal of Hematology (13 papers)Blood (8 papers)Transfusion (6 papers)British Journal of Haematology (3 papers)Scientific Reports (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Noboru Asada
80 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 97
- Hematology 758
- Genetics 449
- Immunology 496
- Neurology 254
- Pathology and Forensic Medicine 269
Countries citing papers authored by Noboru Asada
This map shows the geographic impact of Noboru Asada'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 Noboru Asada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Asada more than expected).
Fields of papers citing papers by Noboru Asada
This network shows the impact of papers produced by Noboru Asada. 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 Noboru Asada. The network helps show where Noboru Asada may publish in the future.
Co-authors
The 25 scholars most cited alongside Noboru Asada, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 324 | |
| 2 | 2018 | 267 | |
| 3 | 2018 | 165 | |
| 4 | 2006 | 124 | |
| 5 | 2013 | 122 | |
| 6 | 1997 | 101 | |
| 7 | 2013 | 98 | |
| 8 | 2007 | 98 | |
| 9 | 2017 | 94 | |
| 10 | Caffeine-assisted chemotherapy and minimized tumor excision for nonmetastatic osteosarcoma. | 1998 | 77 |
| 11 | 2010 | 71 | |
| 12 | 2010 | 53 | |
| 13 | 2006 | 49 | |
| 14 | 2010 | 49 | |
| 15 | 2016 | 42 | |
| 16 | 2007 | 40 | |
| 17 | 2014 | 40 | |
| 18 | 2014 | 35 | |
| 19 | 2007 | 21 | |
| 20 | 2019 | 21 |
About Noboru Asada
Noboru Asada is a scholar working on Hematology, Oncology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (30 papers), Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (12 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), CAR-T cell therapy research (9 papers), Mesenchymal stem cell research (8 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Hematology (758 citations), Genetics (449 citations), Immunology (496 citations), Neurology (254 citations) and Pathology and Forensic Medicine (269 citations). Noboru Asada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Paul S. Frenette, Masami Takeuchi, Halley Pierce, Kosei Matsue, Yoshio Katayama, Chunliang Xu, Xin Gao, Zichen Wang, Nicolas Fernandez and Alexander Birbrair. Their work appears in journals such as International Journal of Hematology, Blood, Transfusion, British Journal of Haematology and Scientific Reports.
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.