Daisuke Shima
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- RNA Research and Splicing 2
- RNA Interference and Gene Delivery 2
-
- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Hiroshi Handa (7 shared papers)Yoko Fujimoto (7 shared papers)Masaki Hiramoto (5 shared papers)Shin Aizawa (5 shared papers)Tadashi Wada (2 shared papers)H Hoshi (2 shared papers)Yuki Yamaguchi (2 shared papers)Ken-ichirou Morohashi (1 shared paper)
- Journals
- Value in Health (4 papers)Cancer Chemotherapy and Pharmacology (2 papers)Journal of Biological Chemistry (2 papers)International Journal of Molecular Medicine (2 papers)Journal of Clinical Hypertension (2 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Daisuke Shima
25 papers receiving 573 citations
Peers
Comparison fields: 5 of 88
- Hematology 95
- Nephrology 36
- Internal Medicine 18
- Molecular Biology 270
- Rheumatology 53
Countries citing papers authored by Daisuke Shima
This map shows the geographic impact of Daisuke Shima'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 Daisuke Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Shima more than expected).
Fields of papers citing papers by Daisuke Shima
This network shows the impact of papers produced by Daisuke Shima. 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 Daisuke Shima. The network helps show where Daisuke Shima may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Shima, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 87 | |
| 2 | 1999 | 82 | |
| 3 | 1999 | 81 | |
| 4 | 2018 | 65 | |
| 5 | 2013 | 32 | |
| 6 | 2012 | 30 | |
| 7 | 2004 | 30 | |
| 8 | 2010 | 23 | |
| 9 | 2022 | 21 | |
| 10 | 2014 | 20 | |
| 11 | 2017 | 17 | |
| 12 | 2002 | 16 | |
| 13 | 2000 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2001 | 13 | |
| 16 | 2003 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2018 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 3 |
About Daisuke Shima
Daisuke Shima is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Oncology and Pharmacology, having authored 27 papers that have together received 589 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Health Promotion and Cardiovascular Prevention (2 papers), Acute Myeloid Leukemia Research (2 papers), RNA Research and Splicing (2 papers), RNA Interference and Gene Delivery (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Hematology (95 citations), Nephrology (36 citations), Internal Medicine (18 citations), Molecular Biology (270 citations) and Rheumatology (53 citations). Daisuke Shima has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Hiroshi Handa, Yoko Fujimoto, Masaki Hiramoto, Shin Aizawa, Tadashi Wada, H Hoshi, Yuki Yamaguchi, Ken-ichirou Morohashi, Masahiro Shirakawa and T. Tsuchiya. Their work appears in journals such as Value in Health, Cancer Chemotherapy and Pharmacology, Journal of Biological Chemistry, International Journal of Molecular Medicine and Journal of Clinical Hypertension.
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.