Tsuneyoshi Hamada
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
-
- Chemokine receptors and signaling
Papers in
-
- Multiple Myeloma Research and Treatments 3
- Hematopoietic Stem Cell Transplantation 2
- Chronic Myeloid Leukemia Treatments 1
- Autoimmune and Inflammatory Disorders Research 1
- Platelet Disorders and Treatments 1
- Oncology 2
- Chemokine receptors and signaling 2
- Co-authors
- Malcolm A.S. Moore (2 shared papers)Shahin Rafii (2 shared papers)Deog‐Yeon Jo (1 shared paper)James A. Hoxie (1 shared paper)Joseph Hesselgesser (1 shared paper)Ralph L. Nachman (1 shared paper)Robert Möhle (1 shared paper)Martina Nazarea (2 shared papers)
- Journals
- Journal of Clinical Investigation (1 paper)Blood (1 paper)Histopathology (1 paper)Gene (1 paper)Genomics (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Tsuneyoshi Hamada
9 papers receiving 545 citations
Peers
Comparison fields: 5 of 49
- Hematology 250
- Oncology 141
- Genetics 33
- Immunology and Allergy 13
- Molecular Biology 105
Countries citing papers authored by Tsuneyoshi Hamada
This map shows the geographic impact of Tsuneyoshi Hamada'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 Tsuneyoshi Hamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuneyoshi Hamada more than expected).
Fields of papers citing papers by Tsuneyoshi Hamada
This network shows the impact of papers produced by Tsuneyoshi Hamada. 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 Tsuneyoshi Hamada. The network helps show where Tsuneyoshi Hamada may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsuneyoshi Hamada, 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 | 2000 | 219 | |
| 2 | 1998 | 208 | |
| 3 | 1996 | 76 | |
| 4 | 1996 | 54 | |
| 5 | 2018 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2009 | 1 | |
| 8 | 2013 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2022 | 0 |
About Tsuneyoshi Hamada
Tsuneyoshi Hamada is a scholar working on Hematology, Oncology, Molecular Biology, Epidemiology and Nuclear Energy and Engineering, having authored 10 papers that have together received 565 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Chemokine receptors and signaling (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Mycobacterium research and diagnosis (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper), Genomics and Phylogenetic Studies (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Hematology (250 citations), Oncology (141 citations), Genetics (33 citations), Immunology and Allergy (13 citations) and Molecular Biology (105 citations). Tsuneyoshi Hamada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Malcolm A.S. Moore, Shahin Rafii, Deog‐Yeon Jo, James A. Hoxie, Joseph Hesselgesser, Ralph L. Nachman, Robert Möhle, Martina Nazarea, Tomoyuki Nakamura and Tasuku Honjo. Their work appears in journals such as Journal of Clinical Investigation, Blood, Histopathology, Gene and Genomics.
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.