Yuji Shimura
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 30
- Hematology 33
- Multiple Myeloma Research and Treatments 16
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 6
- Co-authors
- Junya Kuroda (68 shared papers)Masafumi Taniwaki (45 shared papers)Tsutomu Kobayashi (52 shared papers)Shigeo Horiike (40 shared papers)Hisao Nagoshi (24 shared papers)Yoshiaki Chinen (35 shared papers)Shinsuke Mizutani (43 shared papers)Yosuke Matsumoto (22 shared papers)
- Journals
- International Journal of Hematology (10 papers)Infection and Drug Resistance (5 papers)Experimental Hematology (3 papers)British Journal of Haematology (3 papers)Cancer Medicine (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yuji Shimura
65 papers receiving 714 citations
Peers
Comparison fields: 5 of 68
- Hematology 219
- Pathology and Forensic Medicine 181
- Immunology 187
- Genetics 90
- Oncology 204
Countries citing papers authored by Yuji Shimura
This map shows the geographic impact of Yuji Shimura'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 Yuji Shimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Shimura more than expected).
Fields of papers citing papers by Yuji Shimura
This network shows the impact of papers produced by Yuji Shimura. 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 Yuji Shimura. The network helps show where Yuji Shimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuji Shimura, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 78 | |
| 2 | 2010 | 61 | |
| 3 | 2020 | 34 | |
| 4 | 2018 | 31 | |
| 5 | 2014 | 29 | |
| 6 | 2012 | 29 | |
| 7 | 2013 | 29 | |
| 8 | 2011 | 28 | |
| 9 | 2011 | 27 | |
| 10 | 2017 | 24 | |
| 11 | 2013 | 23 | |
| 12 | 2020 | 19 | |
| 13 | 2017 | 15 | |
| 14 | 2012 | 14 | |
| 15 | 2013 | 14 | |
| 16 | 2013 | 12 | |
| 17 | 2012 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2014 | 10 |
About Yuji Shimura
Yuji Shimura is a scholar working on Pathology and Forensic Medicine, Hematology, Oncology, Molecular Biology and Genetics, having authored 71 papers that have together received 723 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), Multiple Myeloma Research and Treatments (16 papers), Viral-associated cancers and disorders (13 papers), Protein Degradation and Inhibitors (11 papers), Chronic Lymphocytic Leukemia Research (11 papers), Chronic Myeloid Leukemia Treatments (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Hematology (219 citations), Pathology and Forensic Medicine (181 citations), Immunology (187 citations), Genetics (90 citations) and Oncology (204 citations). Yuji Shimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Junya Kuroda, Masafumi Taniwaki, Tsutomu Kobayashi, Shigeo Horiike, Hisao Nagoshi, Yoshiaki Chinen, Shinsuke Mizutani, Yosuke Matsumoto, Nana Sasaki and Miki Kiyota. Their work appears in journals such as International Journal of Hematology, Infection and Drug Resistance, Experimental Hematology, British Journal of Haematology and Cancer 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.