Maya Suzuki
Impact in
- Neurology top 10%
- Neuroblastoma Research and Treatments
-
- CAR-T cell therapy research
- Lung Cancer Research Studies
Papers in
- Oncology 10
- Lung Cancer Research Studies 3
- Co-authors
- Nai‐Kong V. Cheung (7 shared papers)Hyman B. Muss (2 shared papers)Tomohiro Funakoshi (2 shared papers)Tomohiro F. Nishijima (1 shared paper)Suzanne L. Wolden (2 shared papers)Kazuo Tamura (1 shared paper)Yohei Kawasaki (6 shared papers)Tohru Sawada (1 shared paper)
- Journals
- Scientific Reports (2 papers)Breast Cancer Research and Treatment (2 papers)Pediatric Blood & Cancer (2 papers)Blood (1 paper)European Journal of Clinical Nutrition (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Maya Suzuki
32 papers receiving 353 citations
Peers
Comparison fields: 5 of 83
- Neurology 97
- Oncology 149
- Cancer Research 42
- Immunology 54
- Biochemistry 14
Countries citing papers authored by Maya Suzuki
This map shows the geographic impact of Maya Suzuki'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 Maya Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Suzuki more than expected).
Fields of papers citing papers by Maya Suzuki
This network shows the impact of papers produced by Maya Suzuki. 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 Maya Suzuki. The network helps show where Maya Suzuki may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Suzuki, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 124 | |
| 2 | 2016 | 38 | |
| 3 | 2016 | 29 | |
| 4 | 2018 | 25 | |
| 5 | 2016 | 20 | |
| 6 | 2014 | 19 | |
| 7 | 2014 | 10 | |
| 8 | 2015 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2012 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 1998 | 3 | |
| 20 | 2011 | 3 |
About Maya Suzuki
Maya Suzuki is a scholar working on Molecular Biology, Oncology, Neurology, Surgery and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 359 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lung Cancer Research Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Airway Management and Intubation Techniques (2 papers), Multisensory perception and integration (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Neurology (97 citations), Oncology (149 citations), Cancer Research (42 citations), Immunology (54 citations) and Biochemistry (14 citations). Maya Suzuki has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Nai‐Kong V. Cheung, Hyman B. Muss, Tomohiro Funakoshi, Tomohiro F. Nishijima, Suzanne L. Wolden, Kazuo Tamura, Yohei Kawasaki, Tohru Sawada, Akihiro Yagi and Hideki Origasa. Their work appears in journals such as Scientific Reports, Breast Cancer Research and Treatment, Pediatric Blood & Cancer, Blood and European Journal of Clinical Nutrition.
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.