Minako Iida
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 1
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Hidehiko Saito (2 shared papers)Mitsune Tanimoto (2 shared papers)Masayuki Towatari (2 shared papers)Y Kodera (3 shared papers)Akihiro Abe (1 shared paper)Nobuhiko Emi (1 shared paper)Toshiya Yokozawa (1 shared paper)Luís Fernando S. Bouzas (2 shared papers)
In The Last Decade
Minako Iida
15 papers receiving 479 citations
Peers
Comparison fields: 5 of 70
- Hematology 285
- Transplantation 34
- Genetics 72
- Immunology 95
- Oncology 85
Countries citing papers authored by Minako Iida
This map shows the geographic impact of Minako Iida'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 Minako Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minako Iida more than expected).
Fields of papers citing papers by Minako Iida
This network shows the impact of papers produced by Minako Iida. 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 Minako Iida. The network helps show where Minako Iida may publish in the future.
Co-authors
The 25 scholars most cited alongside Minako Iida, 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 | 2016 | 199 | |
| 2 | 2001 | 108 | |
| 3 | 2013 | 67 | |
| 4 | 2010 | 29 | |
| 5 | 1997 | 18 | |
| 6 | 2014 | 16 | |
| 7 | Protein expression and constitutive phosphorylation of hematopoietic transcription factors PU.1 and C/EBP beta in acute myeloid leukemia blasts. | 2000 | 14 |
| 8 | 2011 | 13 | |
| 9 | 2012 | 10 | |
| 10 | 2019 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 1996 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2011 | 1 |
About Minako Iida
Minako Iida is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Molecular Biology and Genetics, having authored 15 papers that have together received 488 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (4 papers), Polyomavirus and related diseases (3 papers), Neutropenia and Cancer Infections (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), DNA Repair Mechanisms (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (285 citations), Transplantation (34 citations), Genetics (72 citations), Immunology (95 citations) and Oncology (85 citations). Minako Iida has collaborated with scholars based in Japan, Australia and Brazil. Frequent co-authors include Hidehiko Saito, Mitsune Tanimoto, Masayuki Towatari, Y Kodera, Akihiro Abe, Nobuhiko Emi, Toshiya Yokozawa, Luís Fernando S. Bouzas, Helen Baldomero and Jakob Passweg. Their work appears in journals such as International Journal of Hematology, Bone Marrow Transplantation, Blood, Clinical Transplantation and Biological and Pharmaceutical Bulletin.
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.