Daisuke Shima
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
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- Food Allergy and Anaphylaxis Research 3
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- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Hiroshi Handa (7 shared papers)Yoko Fujimoto (7 shared papers)Shin Aizawa (5 shared papers)Masaki Hiramoto (5 shared papers)Toshimasa Osada (1 shared paper)T. Tsuchiya (1 shared paper)Ken Nakata (1 shared paper)Yasuhiro Take (1 shared paper)
- Journals
- Allergology International (4 papers)Value in Health (4 papers)International Journal of Molecular Medicine (2 papers)Journal of Clinical Hypertension (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Daisuke Shima
31 papers receiving 640 citations
Peers
Comparison fields: 5 of 87
- Hematology 99
- Nephrology 35
- Molecular Biology 267
- Genetics 39
- Rheumatology 48
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 87 | |
| 2 | 2000 | 87 | |
| 3 | 1999 | 83 | |
| 4 | 2018 | 81 | |
| 5 | 2013 | 34 | |
| 6 | 2012 | 30 | |
| 7 | 2004 | 29 | |
| 8 | 2022 | 29 | |
| 9 | 2010 | 23 | |
| 10 | 2014 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2000 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2002 | 16 | |
| 15 | 2003 | 15 | |
| 16 | 2001 | 14 | |
| 17 | 2019 | 11 | |
| 18 | 2013 | 10 | |
| 19 | 2022 | 7 | |
| 20 | 2016 | 5 |
About Daisuke Shima
Daisuke Shima is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism, Pharmacology, Insect Science and Oncology, having authored 32 papers that have together received 662 indexed citations. Recurring topics across this work include Insect and Pesticide Research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Food Allergy and Anaphylaxis Research (3 papers), Genomics and Chromatin Dynamics (2 papers), Inflammatory mediators and NSAID effects (2 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Hematology (99 citations), Nephrology (35 citations), Molecular Biology (267 citations), Genetics (39 citations) and Rheumatology (48 citations). Daisuke Shima has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Hiroshi Handa, Yoko Fujimoto, Shin Aizawa, Masaki Hiramoto, Toshimasa Osada, T. Tsuchiya, Ken Nakata, Yasuhiro Take, Tadashi Wada and Hajime HOSHI. Their work appears in journals such as Allergology International, Value in Health, International Journal of Molecular Medicine, Journal of Clinical Hypertension and Cancer Chemotherapy and Pharmacology.
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.