Rui Tada
Impact in
- Pharmacology top 5%
- Fungal Biology and Applications
- Pharmaceutical Science top 5%
Papers in
- Immunology 20
- Immune Response and Inflammation 15
- Immunotherapy and Immune Responses 11
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- Polysaccharides and Plant Cell Walls 15
- Co-authors
- Naohito Ohno (22 shared papers)Yoshiyuki Adachi (26 shared papers)Kenichi Ishibashi (10 shared papers)Kazufumi Tsubaki (7 shared papers)Yukihiko Aramaki (11 shared papers)Noriko Nagi‐Miura (6 shared papers)Jean‐Paul Latgé (3 shared papers)Jun Kunisawa (13 shared papers)
- Journals
- International Immunopharmacology (7 papers)Pharmaceutics (3 papers)Carbohydrate Research (3 papers)PLoS ONE (3 papers)Vaccines (2 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Rui Tada
46 papers receiving 848 citations
Peers
Comparison fields: 5 of 89
- Pharmacology 196
- Pharmaceutical Science 59
- Microbiology 60
- Immunology 203
- Plant Science 344
Countries citing papers authored by Rui Tada
This map shows the geographic impact of Rui Tada'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 Rui Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Tada more than expected).
Fields of papers citing papers by Rui Tada
This network shows the impact of papers produced by Rui Tada. 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 Rui Tada. The network helps show where Rui Tada may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui Tada, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 92 | |
| 2 | 2017 | 91 | |
| 3 | 2008 | 55 | |
| 4 | 2015 | 53 | |
| 5 | 2009 | 52 | |
| 6 | 2008 | 51 | |
| 7 | 2018 | 43 | |
| 8 | 2013 | 41 | |
| 9 | 2013 | 36 | |
| 10 | 2008 | 34 | |
| 11 | 2017 | 32 | |
| 12 | 2012 | 29 | |
| 13 | 2007 | 23 | |
| 14 | 2009 | 20 | |
| 15 | 2011 | 19 | |
| 16 | 2018 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2018 | 12 | |
| 19 | 2006 | 11 | |
| 20 | 2007 | 11 |
About Rui Tada
Rui Tada is a scholar working on Immunology, Plant Science, Molecular Biology, Pharmacology and Food Science, having authored 50 papers that have together received 858 indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (15 papers), Immune Response and Inflammation (15 papers), Immunotherapy and Immune Responses (11 papers), Fungal Biology and Applications (8 papers), Polysaccharides Composition and Applications (6 papers), RNA Interference and Gene Delivery (5 papers), Ultrasound and Hyperthermia Applications (4 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Pharmacology (196 citations), Pharmaceutical Science (59 citations), Microbiology (60 citations), Immunology (203 citations) and Plant Science (344 citations). Rui Tada has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Naohito Ohno, Yoshiyuki Adachi, Kenichi Ishibashi, Kazufumi Tsubaki, Yukihiko Aramaki, Noriko Nagi‐Miura, Jean‐Paul Latgé, Jun Kunisawa, Vishukumar Aimanianda and Yoichi Negishi. Their work appears in journals such as International Immunopharmacology, Pharmaceutics, Carbohydrate Research, PLoS ONE and Vaccines.
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.