Hiroyuki Kuroda
- Molecular Biology top 10%
- Hematology top 2%
- Oncology top 5%
- Plant Science top 5%
- Genetics top 5%
- Co-authors
- Takuya MatsunagaYoshiro NiitsuYasuo HirayamaSumio SakamakiJunji KatoRishu TakimotoYoshimitsu NagaoHiroshi Hyodo
- Topics
- Chronic Lymphocytic Leukemia Research (14 papers)Lymphoma Diagnosis and Treatment (14 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers)
- Cited by
- HematologyGeneticsBiotechnology
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Hiroyuki Kuroda
137 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.2k
- Hematology 588
- Oncology 507
- Plant Science 393
- Genetics 300
Countries citing papers authored by Hiroyuki Kuroda
This map shows the geographic impact of Hiroyuki Kuroda'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 Hiroyuki Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Kuroda more than expected).
Fields of papers citing papers by Hiroyuki Kuroda
This network shows the impact of papers produced by Hiroyuki Kuroda. 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 Hiroyuki Kuroda. The network helps show where Hiroyuki Kuroda may publish in the future.
Co-authorship network of co-authors of Hiroyuki Kuroda
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Kuroda. A scholar is included among the top collaborators of Hiroyuki Kuroda 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 Hiroyuki Kuroda. Hiroyuki Kuroda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 445 | |
| 7 | 13 | |
| 8 | 30 | |
| 9 | 2 | |
| 10 | 71 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | Morphological Observation of the Calli derived from Four Coniferous Species in vitro | 1 |
| 14 | Callus Formation, and Effects of Applied Pressure to the Cultured Cambial Explant of Sugi (Cryptomeria japonica D. Don) | 7 |
| 15 | 1 | |
| 16 | Detection of Desmin in Fat-storing Cells (Ito Cells) by Immunocytochemical Methods | 3 |
| 17 | O-Methyltransferase as a Tool to Evaluate the Lignin Evolution | 2 |
| 18 | Roles of Bamboo O-methyltransferase in the Lignin Biosynthesis | 1 |
| 19 | 2 | |
| 20 | 1 |
About Hiroyuki Kuroda
Hiroyuki Kuroda is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 151 papers that have together received 2.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (14 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers). The work is most often cited by research in Hematology (588 citations), Genetics (300 citations) and Biotechnology (218 citations). Hiroyuki Kuroda has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Takuya Matsunaga, Yoshiro Niitsu, Yasuo Hirayama, Sumio Sakamaki, Junji Kato, Rishu Takimoto, Yoshimitsu Nagao, Hiroshi Hyodo, Shang Fa Yang and Masayoshi Kobune. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.
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.