Haruko Shima
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Mesenchymal stem cell research
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 19
- Chronic Myeloid Leukemia Treatments 10
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 5
- Genetics 10
- Chronic Lymphocytic Leukemia Research 7
- Virus-based gene therapy research 4
- Co-authors
- Toshio SudaKeiyo TakuboWakako YamadaNobuhito GodaRandall S. JohnsonAtsushi HiraoMakoto SuematsuHirono Iriuchishima
- Journals
- Pediatric Blood & Cancer (7 papers)Blood (4 papers)Journal of Pediatric Hematology/Oncology (2 papers)International Journal of Hematology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Haruko Shima
32 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Hematology 593
- Genetics 266
- Cancer Research 307
- Aging 18
- Immunology 207
Countries citing papers authored by Haruko Shima
This map shows the geographic impact of Haruko Shima'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 Haruko Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruko Shima more than expected).
Fields of papers citing papers by Haruko Shima
This network shows the impact of papers produced by Haruko Shima. 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 Haruko Shima. The network helps show where Haruko Shima may publish in the future.
Co-authors
The 25 scholars most cited alongside Haruko Shima, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2019 | 24 | |
| 12 | 2019 | 5 | |
| 13 | 2013 | 30 | |
| 14 | 2010 | 25 | |
| 15 | Regulation of the HIF-1α Level Is Essential for Hematopoietic Stem Cells Hit paper breakdown → | 2010 | 676 |
| 16 | 2010 | 37 | |
| 17 | 2010 | 76 | |
| 18 | 2009 | 7 | |
| 19 | 2008 | 39 | |
| 20 | 2007 | 86 |
About Haruko Shima
Haruko Shima is a scholar working on Hematology, Genetics, Rheumatology, Oncology and Immunology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Eosinophilic Disorders and Syndromes (6 papers), Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers) and Histiocytic Disorders and Treatments (3 papers). The work is most often cited by research in Hematology (593 citations), Genetics (266 citations), Cancer Research (307 citations), Aging (18 citations) and Immunology (207 citations). Haruko Shima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshio Suda, Keiyo Takubo, Wakako Yamada, Nobuhito Goda, Randall S. Johnson, Atsushi Hirao, Makoto Suematsu, Hirono Iriuchishima, Yoshiaki Kubota and Eiji Ikeda. Their work appears in journals such as Pediatric Blood & Cancer, Blood, Journal of Pediatric Hematology/Oncology, International Journal of Hematology and Biochemical and Biophysical Research Communications.
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.