Yasu‐Taka Azuma
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Co-authors
- Tadayoshi TakeuchiKiyoshi OhuraHidemitsu NakajimaMitsuko ShinoharaKiyokazu OgitaPao‐Li WangRichard A. FlavellOliver Schulz
- Topics
- Neuropeptides and Animal Physiology (17 papers)Immune Response and Inflammation (13 papers)NF-κB Signaling Pathways (11 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yasu‐Taka Azuma
124 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.7k
- Immunology 1.2k
- Oncology 482
- Cellular and Molecular Neuroscience 445
- Physiology 358
Countries citing papers authored by Yasu‐Taka Azuma
This map shows the geographic impact of Yasu‐Taka Azuma'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 Yasu‐Taka Azuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasu‐Taka Azuma more than expected).
Fields of papers citing papers by Yasu‐Taka Azuma
This network shows the impact of papers produced by Yasu‐Taka Azuma. 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 Yasu‐Taka Azuma. The network helps show where Yasu‐Taka Azuma may publish in the future.
Co-authorship network of co-authors of Yasu‐Taka Azuma
This figure shows the co-authorship network connecting the top 25 collaborators of Yasu‐Taka Azuma. A scholar is included among the top collaborators of Yasu‐Taka Azuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasu‐Taka Azuma. Yasu‐Taka Azuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 22 | |
| 4 | 12 | |
| 5 | 15 | |
| 6 | 44 | |
| 7 | 71 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 34 | |
| 11 | 15 | |
| 12 | 32 | |
| 13 | Toll-like receptor 3 promotes cross-priming to virus-infected cellsbreakdown → | 723 |
| 14 | 3 | |
| 15 | 13 | |
| 16 | Effect of a low calcium diet on the salivary amylase in weaning rats | 1 |
| 17 | 9 | |
| 18 | 15 | |
| 19 | Anti-allergic action of 6-ethyl-3-(1H-tetrazol-5-YL) chromone (AA-344) in rats. II. Effect of AA-344 on histamine release from rat peritoneal exudate cells. | 1 |
| 20 | N‐アセトアセチルカルボアミド類からの1,3‐オキサジニウム塩を経由する1,3‐チアジン‐4‐オン類の一新合成 | 4 |
About Yasu‐Taka Azuma
Yasu‐Taka Azuma is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Immunology, having authored 126 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Immune Response and Inflammation (13 papers) and NF-κB Signaling Pathways (11 papers). The work is most often cited by research in Immunology (1.2k citations), Periodontics (159 citations) and Cellular and Molecular Neuroscience (445 citations). Yasu‐Taka Azuma has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tadayoshi Takeuchi, Kiyoshi Ohura, Hidemitsu Nakajima, Mitsuko Shinohara, Kiyokazu Ogita, Pao‐Li Wang, Richard A. Flavell, Oliver Schulz, Martijn A. Nolte and Margaret Chen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.