Noboru Ashida
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
-
- Immune cells in cancer
- Immune Response and Inflammation
Papers in
-
- NF-κB Signaling Pathways 7
- Co-authors
- Hidenori Arai (5 shared papers)Toru Kita (5 shared papers)M. Utsumi (1 shared paper)Kiyoko Makimoto (4 shared papers)Tetsuya Takeuchi (1 shared paper)Tatsuya Higashi (1 shared paper)Anthony Rosenzweig (2 shared papers)Ling Li (1 shared paper)
- Journals
- Scientific Reports (4 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Noboru Ashida
27 papers receiving 636 citations
Peers
Comparison fields: 5 of 111
- Immunology and Allergy 69
- Immunology 110
- Cancer Research 62
- Cell Biology 57
- Oncology 86
Countries citing papers authored by Noboru Ashida
This map shows the geographic impact of Noboru Ashida'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 Noboru Ashida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Ashida more than expected).
Fields of papers citing papers by Noboru Ashida
This network shows the impact of papers produced by Noboru Ashida. 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 Noboru Ashida. The network helps show where Noboru Ashida may publish in the future.
Co-authors
The 25 scholars most cited alongside Noboru Ashida, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 170 | |
| 2 | 2006 | 136 | |
| 3 | 2010 | 111 | |
| 4 | 1997 | 44 | |
| 5 | 2011 | 36 | |
| 6 | 2018 | 26 | |
| 7 | 2001 | 22 | |
| 8 | 2003 | 21 | |
| 9 | 2001 | 21 | |
| 10 | 1998 | 16 | |
| 11 | 2014 | 9 | |
| 12 | 2014 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 1998 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 3 | |
| 18 | Education for 3D Forming with Turtle Metaphor | 2012 | 2 |
| 19 | 2013 | 2 | |
| 20 | Congenital deficiency of thyrotropin | 1993 | 2 |
About Noboru Ashida
Noboru Ashida is a scholar working on Cancer Research, Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine and Oncology, having authored 31 papers that have together received 648 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (7 papers), Cell Adhesion Molecules Research (4 papers), Chemokine receptors and signaling (3 papers), Immune Response and Inflammation (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Augmented Reality Applications (3 papers), Human Motion and Animation (2 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (69 citations), Immunology (110 citations), Cancer Research (62 citations), Cell Biology (57 citations) and Oncology (86 citations). Noboru Ashida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hidenori Arai, Toru Kita, M. Utsumi, Kiyoko Makimoto, Tetsuya Takeuchi, Tatsuya Higashi, Anthony Rosenzweig, Ling Li, Михаил С. Новиков and Michael R. Morissette. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Nature Communications and Journal of the American Heart Association.
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.