Junji Koya
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Cancer Genomics and Diagnostics
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 14
- Hematopoietic Stem Cell Transplantation 3
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- Protein Degradation and Inhibitors 5
- Epigenetics and DNA Methylation 3
- Co-authors
- Keisuke Kataoka (16 shared papers)Mineo Kurokawa (21 shared papers)Tomohiko Sato (6 shared papers)Yuki Saito (6 shared papers)Ken Morita (3 shared papers)Yasuhito Nannya (5 shared papers)Yoshiki Sumitomo (4 shared papers)Kumi Nakazaki (5 shared papers)
- Journals
- Blood (5 papers)Leukemia (3 papers)Experimental Hematology (2 papers)BMC Cancer (2 papers)Cancer Science (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Junji Koya
31 papers receiving 542 citations
Peers
Comparison fields: 5 of 67
- Hematology 167
- Cancer Research 81
- Genetics 53
- Molecular Biology 273
- Oncology 79
Countries citing papers authored by Junji Koya
This map shows the geographic impact of Junji Koya'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 Junji Koya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Koya more than expected).
Fields of papers citing papers by Junji Koya
This network shows the impact of papers produced by Junji Koya. 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 Junji Koya. The network helps show where Junji Koya may publish in the future.
Co-authors
The 25 scholars most cited alongside Junji Koya, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2016 | 70 | |
| 3 | 2016 | 66 | |
| 4 | 2018 | 30 | |
| 5 | 2015 | 29 | |
| 6 | 2024 | 26 | |
| 7 | 2017 | 24 | |
| 8 | 2023 | 20 | |
| 9 | 2012 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2011 | 18 | |
| 12 | 2021 | 15 | |
| 13 | 2013 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 9 |
About Junji Koya
Junji Koya is a scholar working on Hematology, Molecular Biology, Oncology, Epidemiology and Genetics, having authored 35 papers that have together received 543 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Protein Degradation and Inhibitors (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Fungal Infections and Studies (3 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Hematology (167 citations), Cancer Research (81 citations), Genetics (53 citations), Molecular Biology (273 citations) and Oncology (79 citations). Junji Koya has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Keisuke Kataoka, Mineo Kurokawa, Tomohiko Sato, Yuki Saito, Ken Morita, Yasuhito Nannya, Yoshiki Sumitomo, Kumi Nakazaki, Yasunori Kogure and Hiroshi Kobayashi. Their work appears in journals such as Blood, Leukemia, Experimental Hematology, BMC Cancer and Cancer Science.
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.