Yasushi Fujio
- Molecular Biology top 1%
- Cardiology and Cardiovascular Medicine top 0.5%
- Physiology top 0.5%
- Oncology top 1%
- Surgery top 2%
- Co-authors
- Kenneth WalshDavid FultonWilliam C. SessaKeiko Yamauchi‐TakiharaJean‐Philippe GrattonTimothy J. McCabeJason FontanaThomas Franke
- Topics
- Cardiac Fibrosis and Remodeling (29 papers)Cytokine Signaling Pathways and Interactions (28 papers)Signaling Pathways in Disease (20 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Yasushi Fujio
174 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 5.9k
- Cardiology and Cardiovascular Medicine 2.8k
- Physiology 2.2k
- Oncology 2.0k
- Surgery 1.5k
Countries citing papers authored by Yasushi Fujio
This map shows the geographic impact of Yasushi Fujio'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 Yasushi Fujio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Fujio more than expected).
Fields of papers citing papers by Yasushi Fujio
This network shows the impact of papers produced by Yasushi Fujio. 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 Yasushi Fujio. The network helps show where Yasushi Fujio may publish in the future.
Co-authorship network of co-authors of Yasushi Fujio
This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Fujio. A scholar is included among the top collaborators of Yasushi Fujio 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 Yasushi Fujio. Yasushi Fujio 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 | 2 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 10 | |
| 10 | 28 | |
| 11 | Abstract 1282: Interleukin-11 Prevents Cardiac Remodeling after Myocardial Infarction with Neovascularization in Murine Model. | 0 |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 60 | |
| 15 | 486 | |
| 16 | 24 | |
| 17 | 4 | |
| 18 | 28 | |
| 19 | Studies on chemotherapy of parasitic helminths. II. Effects of avermectin Bia on the motility of various parasitic helminths and isolated host tissue preparations. | 4 |
| 20 | The B blood group polymorphism in the chicken. I. Heterozygosity in closed population of White Leghorn. | 2 |
About Yasushi Fujio
Yasushi Fujio is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Cell Biology, having authored 180 papers that have together received 11.6k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (29 papers), Cytokine Signaling Pathways and Interactions (28 papers) and Signaling Pathways in Disease (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.8k citations), Molecular Biology (5.9k citations) and Physiology (2.2k citations). Yasushi Fujio has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Kenneth Walsh, David Fulton, William C. Sessa, Keiko Yamauchi‐Takihara, Jean‐Philippe Gratton, Timothy J. McCabe, Jason Fontana, Thomas Franke, Andreas Papapetropoulos and Junichi Azuma. 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.