Maya Suzuki
Impact in
- Neurology top 10%
- Neuroblastoma Research and Treatments
-
- CAR-T cell therapy research
- Lung Cancer Research Studies
Papers in
-
- RNA Research and Splicing 2
- Oncology 7
- Lung Cancer Research Studies 3
- Co-authors
- Nai‐Kong V. Cheung (8 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)Yasufumi Omori (7 shared papers)Akihiro Hosono (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (2 papers)Pediatric Blood & Cancer (2 papers)Journal of Clinical Oncology (2 papers)Scientific Reports (2 papers)Trials (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Maya Suzuki
33 papers receiving 362 citations
Peers
Comparison fields: 5 of 81
- Neurology 91
- Oncology 131
- Immunology 49
- Cancer Research 31
- Sensory Systems 9
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 124 | |
| 2 | 2016 | 39 | |
| 3 | 2016 | 31 | |
| 4 | 2018 | 26 | |
| 5 | 2016 | 20 | |
| 6 | 2014 | 19 | |
| 7 | 2014 | 10 | |
| 8 | 2015 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2012 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2011 | 3 | |
| 20 | 1998 | 3 |
About Maya Suzuki
Maya Suzuki is a scholar working on Molecular Biology, Oncology, Neurology, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 36 papers that have together received 368 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), Color perception and design (2 papers), Multisensory perception and integration (2 papers), Olfactory and Sensory Function Studies (2 papers), RNA Research and Splicing (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Neurology (91 citations), Oncology (131 citations), Immunology (49 citations), Cancer Research (31 citations) and Sensory Systems (9 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, Yasufumi Omori, Akihiro Hosono, Yohei Kawasaki and Tadashi Koga. Their work appears in journals such as Breast Cancer Research and Treatment, Pediatric Blood & Cancer, Journal of Clinical Oncology, Scientific Reports and Trials.
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.