Masataka Asagiri
- Immunology top 0.5%
- Molecular Biology top 2%
- Oncology top 1%
- Cancer Research top 0.5%
- Epidemiology top 2%
- Co-authors
- Hiroshi TakayanagiMitsuharu SatoTadatsugu TaniguchiNaoki HataNobuyuki TanakaAkinori TakaokaTakeo NakayaHideo Negishi
- Topics
- Immune Response and Inflammation (9 papers)NF-κB Signaling Pathways (9 papers)Bone Metabolism and Diseases (8 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masataka Asagiri
42 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 4.2k
- Molecular Biology 3.8k
- Oncology 2.4k
- Cancer Research 1.7k
- Epidemiology 1.3k
Countries citing papers authored by Masataka Asagiri
This map shows the geographic impact of Masataka Asagiri'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 Masataka Asagiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masataka Asagiri more than expected).
Fields of papers citing papers by Masataka Asagiri
This network shows the impact of papers produced by Masataka Asagiri. 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 Masataka Asagiri. The network helps show where Masataka Asagiri may publish in the future.
Co-authorship network of co-authors of Masataka Asagiri
This figure shows the co-authorship network connecting the top 25 collaborators of Masataka Asagiri. A scholar is included among the top collaborators of Masataka Asagiri 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 Masataka Asagiri. Masataka Asagiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 29 | |
| 8 | Origin of myofibroblasts in the fibrotic liver in micebreakdown → | 411 |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 152 | |
| 12 | 16 | |
| 13 | 290 | |
| 14 | The molecular understanding of osteoclast differentiationbreakdown → | 1140 |
| 15 | 163 | |
| 16 | Autoamplification of NFATc1 expression determines its essential role in bone homeostasisbreakdown → | 731 |
| 17 | IRF-7 is the master regulator of type-I interferon-dependent immune responsesbreakdown → | 1781 |
| 18 | 32 | |
| 19 | 157 | |
| 20 | 475 |
About Masataka Asagiri
Masataka Asagiri is a scholar working on Hepatology, Immunology and Cancer Research, having authored 43 papers that have together received 8.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), NF-κB Signaling Pathways (9 papers) and Bone Metabolism and Diseases (8 papers). The work is most often cited by research in Immunology (4.2k citations), Cancer Research (1.7k citations) and Oncology (2.4k citations). Masataka Asagiri has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroshi Takayanagi, Mitsuharu Sato, Tadatsugu Taniguchi, Naoki Hata, Nobuyuki Tanaka, Akinori Takaoka, Takeo Nakaya, Hideo Negishi, Tatsuaki Mizutani and Kenya Honda. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.