Teiko Sumiyoshi
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Oncology 16
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 4
- Colorectal Cancer Treatments and Studies 4
-
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Donald B. KohnMark R. LacknerHartmut KoeppenGarret M. HamptonPriti S. HegdeErica SchleifmanRachel TamA. Clay Clark
- Journals
- Blood (6 papers)PLoS ONE (3 papers)Molecular Therapy (2 papers)Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Teiko Sumiyoshi
26 papers receiving 532 citations
Peers
Comparison fields: 5 of 62
- Oncology 279
- Hematology 92
- Cancer Research 99
- Molecular Biology 275
- Immunology 81
Countries citing papers authored by Teiko Sumiyoshi
This map shows the geographic impact of Teiko Sumiyoshi'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 Teiko Sumiyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teiko Sumiyoshi more than expected).
Fields of papers citing papers by Teiko Sumiyoshi
This network shows the impact of papers produced by Teiko Sumiyoshi. 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 Teiko Sumiyoshi. The network helps show where Teiko Sumiyoshi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teiko Sumiyoshi, 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 | 2024 | 0 | |
| 2 | 2023 | 16 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 65 | |
| 6 | 2020 | 10 | |
| 7 | 2019 | 40 | |
| 8 | 2019 | 9 | |
| 9 | 2018 | 41 | |
| 10 | 2016 | 25 | |
| 11 | 2015 | 2 | |
| 12 | 2014 | 21 | |
| 13 | 2014 | 12 | |
| 14 | 2014 | 30 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2012 | 21 | |
| 18 | 2009 | 41 | |
| 19 | Transcription of the cpeBA and cpeCDE operons in wild type and green mutant strains of the cyanobacterium, Fremyella diplosiphon | 2003 | 1 |
| 20 | 2002 | 75 |
About Teiko Sumiyoshi
Teiko Sumiyoshi is a scholar working on Oncology, Hematology, Genetics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 28 papers that have together received 549 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Multiple Myeloma Research and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), CAR-T cell therapy research (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Virus-based gene therapy research (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Oncology (279 citations), Hematology (92 citations), Cancer Research (99 citations), Molecular Biology (275 citations) and Immunology (81 citations). Teiko Sumiyoshi has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Donald B. Kohn, Mark R. Lackner, Hartmut Koeppen, Garret M. Hampton, Priti S. Hegde, Erica Schleifman, Rachel Tam, A. Clay Clark, John Cobley and Simon J. Harrison. Their work appears in journals such as Blood, PLoS ONE, Molecular Therapy, Journal of Clinical Oncology and Cancer 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.