Junya Kuroda
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 105
- Multiple Myeloma Research and Treatments 40
- Chronic Myeloid Leukemia Treatments 34
- Acute Myeloid Leukemia Research 25
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- Lymphoma Diagnosis and Treatment 59
- Co-authors
- Shinya Kimura (50 shared papers)Masafumi Taniwaki (94 shared papers)Taira Maekawa (32 shared papers)Asumi Yokota (21 shared papers)Andreas Strasser (5 shared papers)Takeshi Yuasa (17 shared papers)Hidekazu Segawa (17 shared papers)Shigeo Horiike (64 shared papers)
- Journals
- International Journal of Hematology (23 papers)Blood (22 papers)Cancer Science (8 papers)Acta Haematologica (7 papers)British Journal of Haematology (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Junya Kuroda
207 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 111
- Hematology 1.2k
- Genetics 641
- Oncology 1.4k
- Immunology 903
- Pathology and Forensic Medicine 611
Countries citing papers authored by Junya Kuroda
This map shows the geographic impact of Junya 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 Junya Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Kuroda more than expected).
Fields of papers citing papers by Junya Kuroda
This network shows the impact of papers produced by Junya 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 Junya Kuroda. The network helps show where Junya Kuroda may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya Kuroda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 454 | |
| 2 | 2006 | 284 | |
| 3 | 2007 | 276 | |
| 4 | 2005 | 206 | |
| 5 | 2005 | 170 | |
| 6 | 2005 | 128 | |
| 7 | 2004 | 113 | |
| 8 | 2003 | 111 | |
| 9 | 2010 | 89 | |
| 10 | 2012 | 86 | |
| 11 | 2006 | 83 | |
| 12 | 2011 | 81 | |
| 13 | 2014 | 75 | |
| 14 | 2019 | 74 | |
| 15 | 2004 | 74 | |
| 16 | 2007 | 71 | |
| 17 | 2006 | 68 | |
| 18 | 2016 | 67 | |
| 19 | 2001 | 63 | |
| 20 | 2010 | 62 |
About Junya Kuroda
Junya Kuroda is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Molecular Biology and Genetics, having authored 220 papers that have together received 4.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (59 papers), Multiple Myeloma Research and Treatments (40 papers), Chronic Myeloid Leukemia Treatments (34 papers), Chronic Lymphocytic Leukemia Research (34 papers), Viral-associated cancers and disorders (29 papers), Protein Degradation and Inhibitors (25 papers), Acute Myeloid Leukemia Research (25 papers) and Eosinophilic Disorders and Syndromes (19 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (641 citations), Oncology (1.4k citations), Immunology (903 citations) and Pathology and Forensic Medicine (611 citations). Junya Kuroda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shinya Kimura, Masafumi Taniwaki, Taira Maekawa, Asumi Yokota, Andreas Strasser, Takeshi Yuasa, Hidekazu Segawa, Shigeo Horiike, Hamsa Puthalakath and Mark S. Cragg. Their work appears in journals such as International Journal of Hematology, Blood, Cancer Science, Acta Haematologica and British Journal of Haematology.
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.