Yuka Harada
- Hematology top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Hironori HaradaToshiya InabaAkiro KimuraHiromasa NiimiTaiichi KyoToshio KitamuraJiro KitauraN Huang
- Topics
- Acute Myeloid Leukemia Research (45 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers)Chronic Myeloid Leukemia Treatments (13 papers)
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesKazakhstan
In The Last Decade
Yuka Harada
99 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 95
- Hematology 1.2k
- Molecular Biology 1.0k
- Genetics 493
- Immunology 267
- Cancer Research 229
Countries citing papers authored by Yuka Harada
This map shows the geographic impact of Yuka Harada'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 Yuka Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka Harada more than expected).
Fields of papers citing papers by Yuka Harada
This network shows the impact of papers produced by Yuka Harada. 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 Yuka Harada. The network helps show where Yuka Harada may publish in the future.
Co-authorship network of co-authors of Yuka Harada
This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Harada. A scholar is included among the top collaborators of Yuka Harada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuka Harada. Yuka Harada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 19 | |
| 12 | 115 | |
| 13 | 46 | |
| 14 | 22 | |
| 15 | 93 | |
| 16 | 10 | |
| 17 | Some Properties of Garlic Mosaic Virus (GMV) and Garlic Latent Virus (GLV) Isolated from Garlic Plants with Mosaic Symptoms in Aomori Prefecture | 1 |
| 18 | CB18 DISCRIMINATION OF FOOD IN PARAMECIUM MULTIMICRONUCLEATUM.(Cell Biology)(Proceedings of the Fifty-Fifth Annual Meeting of the Zoological Society of Japan) : | 1 |
| 19 | 1 | |
| 20 | Patterns of the variation of Fasciola sp. in Japan. II. A comparative study of the flukes from cattle and goat. | 4 |
About Yuka Harada
Yuka Harada is a scholar working on Hematology, Genetics and Cancer Research, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (45 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers) and Chronic Myeloid Leukemia Treatments (13 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (493 citations) and Cancer Research (229 citations). Yuka Harada has collaborated with scholars based in Japan, United States and Kazakhstan. Frequent co-authors include Hironori Harada, Toshiya Inaba, Akiro Kimura, Hiromasa Niimi, Taiichi Kyo, Toshio Kitamura, Jiro Kitaura, N Huang, Hideo Tanaka and Yukiko Komeno. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.