Daisuke Mori
Impact in
-
- Circadian rhythm and melatonin
- Pharmaceutical Science top 5%
- Advancements in Transdermal Drug Delivery
Papers in
- Oncology 18
- Cancer Cells and Metastasis 3
- Co-authors
- Osamu TokunagaFumio YamasakiChristian CajochenAnna Wirz‐JusticeKurt KräuchiPeter GrawYasuo SugitaToshimi Satoh
- Journals
- Pathology International (4 papers)Scientific Reports (2 papers)Histopathology (2 papers)Surgery Today (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daisuke Mori
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Endocrine and Autonomic Systems 146
- Pharmaceutical Science 76
- Rheumatology 148
- Oncology 268
- Dermatology 77
Countries citing papers authored by Daisuke Mori
This map shows the geographic impact of Daisuke Mori'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 Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Mori more than expected).
Fields of papers citing papers by Daisuke Mori
This network shows the impact of papers produced by Daisuke Mori. 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 Mori. The network helps show where Daisuke Mori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke Mori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2019 | 19 | |
| 6 | 2017 | 30 | |
| 7 | 2017 | 5 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 22 | |
| 10 | 2013 | 2 | |
| 11 | 2009 | 19 | |
| 12 | 2009 | 12 | |
| 13 | 2009 | 14 | |
| 14 | 2007 | 34 | |
| 15 | 2007 | 6 | |
| 16 | 2007 | 18 | |
| 17 | 2006 | 10 | |
| 18 | 2006 | 33 | |
| 19 | 2006 | 10 | |
| 20 | 2005 | 46 |
About Daisuke Mori
Daisuke Mori is a scholar working on Computational Mathematics, Oncology, Pharmaceutical Science, Dermatology and Immunology and Allergy, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Advancements in Transdermal Drug Delivery (4 papers), Advanced Drug Delivery Systems (3 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Cells and Metastasis (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (146 citations), Pharmaceutical Science (76 citations), Rheumatology (148 citations), Oncology (268 citations) and Dermatology (77 citations). Daisuke Mori has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Osamu Tokunaga, Fumio Yamasaki, Christian Cajochen, Anna Wirz‐Justice, Kurt Kräuchi, Peter Graw, Yasuo Sugita, Toshimi Satoh, Hidetaka Yamamoto and Kenichi Kohashi. Their work appears in journals such as Pathology International, Scientific Reports, Histopathology, Surgery Today and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.