Daisuke Ogiya
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 17
- Multiple Myeloma Research and Treatments 10
- Chronic Myeloid Leukemia Treatments 4
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- Protein Degradation and Inhibitors 7
- Ubiquitin and proteasome pathways 2
- Co-authors
- Kenneth C. Anderson (7 shared papers)Jiye Liu (5 shared papers)Kiyoshi Ando (18 shared papers)Teru Hideshima (7 shared papers)Keiji Kurata (3 shared papers)Mehmet Samur (2 shared papers)Yu‐Tzu Tai (4 shared papers)Walter Massefski (1 shared paper)
- Journals
- International Journal of Hematology (5 papers)Blood (4 papers)Journal of Clinical and Experimental Hematopathology (4 papers)Annals of Hematology (3 papers)Blood Cancer Journal (1 paper)
- Partner nations
- JapanUnited StatesGeorgia
In The Last Decade
Daisuke Ogiya
26 papers receiving 235 citations
Peers
Comparison fields: 5 of 42
- Hematology 103
- Genetics 45
- Oncology 84
- Immunology 50
- Pathology and Forensic Medicine 30
Countries citing papers authored by Daisuke Ogiya
This map shows the geographic impact of Daisuke Ogiya'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 Daisuke Ogiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Ogiya more than expected).
Fields of papers citing papers by Daisuke Ogiya
This network shows the impact of papers produced by Daisuke Ogiya. 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 Daisuke Ogiya. The network helps show where Daisuke Ogiya may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Ogiya, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2020 | 48 | |
| 3 | 2021 | 20 | |
| 4 | 2010 | 13 | |
| 5 | 2016 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2016 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2017 | 4 | |
| 14 | Secondary pulmonary alveolar proteinosis in a patient with chronic myeloid leukemia in the accelerated phase. | 2008 | 4 |
| 15 | 2021 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 2 |
About Daisuke Ogiya
Daisuke Ogiya is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 32 papers that have together received 236 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Protein Degradation and Inhibitors (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Peptidase Inhibition and Analysis (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (103 citations), Genetics (45 citations), Oncology (84 citations), Immunology (50 citations) and Pathology and Forensic Medicine (30 citations). Daisuke Ogiya has collaborated with scholars based in Japan, United States and Georgia. Frequent co-authors include Kenneth C. Anderson, Jiye Liu, Kiyoshi Ando, Teru Hideshima, Keiji Kurata, Mehmet Samur, Yu‐Tzu Tai, Walter Massefski, Sophia Adamia and Hiroto Ohguchi. Their work appears in journals such as International Journal of Hematology, Blood, Journal of Clinical and Experimental Hematopathology, Annals of Hematology and Blood Cancer Journal.
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.