Mie Uchida
Impact in
- Hematology top 5%
- Erythropoietin and Anemia Treatment
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 10
- Erythropoietin and Anemia Treatment 6
- Platelet Disorders and Treatments 3
- Chronic Myeloid Leukemia Treatments 2
- Acute Myeloid Leukemia Research 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Keita Kirito (11 shared papers)Norio Komatsu (11 shared papers)Keiya Ozawa (8 shared papers)Yasusada Miura (5 shared papers)Tomoko Watanabe (5 shared papers)Masaru Tanaka (3 shared papers)Masaki Mori (3 shared papers)Minami Fujiwara Yamada (2 shared papers)
- Journals
- Blood (4 papers)Journal of Biological Chemistry (3 papers)International Journal of Hematology (2 papers)Stem Cells (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Mie Uchida
11 papers receiving 566 citations
Peers
Comparison fields: 5 of 48
- Hematology 313
- Genetics 42
- Oncology 69
- Molecular Biology 183
- Immunology 20
Countries citing papers authored by Mie Uchida
This map shows the geographic impact of Mie Uchida'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 Mie Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mie Uchida more than expected).
Fields of papers citing papers by Mie Uchida
This network shows the impact of papers produced by Mie Uchida. 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 Mie Uchida. The network helps show where Mie Uchida may publish in the future.
Co-authors
The 24 scholars most cited alongside Mie Uchida, 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 | 139 | |
| 2 | 2003 | 97 | |
| 3 | 2002 | 71 | |
| 4 | 2003 | 61 | |
| 5 | 1997 | 59 | |
| 6 | 1997 | 42 | |
| 7 | 2001 | 41 | |
| 8 | 1998 | 37 | |
| 9 | 2001 | 23 | |
| 10 | 2004 | 8 | |
| 11 | 2007 | 2 |
About Mie Uchida
Mie Uchida is a scholar working on Hematology, Oncology, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 580 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (6 papers), Cytokine Signaling Pathways and Interactions (3 papers), Platelet Disorders and Treatments (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Cell death mechanisms and regulation (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (313 citations), Genetics (42 citations), Oncology (69 citations), Molecular Biology (183 citations) and Immunology (20 citations). Mie Uchida has collaborated with scholars based in Japan and United States. Frequent co-authors include Keita Kirito, Norio Komatsu, Keiya Ozawa, Yasusada Miura, Tomoko Watanabe, Masaru Tanaka, Masaki Mori, Minami Fujiwara Yamada, Koichi Nakajima and Kenichi Sawada. Their work appears in journals such as Blood, Journal of Biological Chemistry, International Journal of Hematology, Stem Cells and Journal of Cellular Physiology.
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.