Yuichiro Adachi
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Immunology
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics top 10%
- Co-authors
- Susumu IkeharaMuneo InabaKazuwa NakaoKoichiro KuwaharaMasaki HaradaMichio NakanishiYoshihiko SaitoYasuaki Nakagawa
- Topics
- Cardiac electrophysiology and arrhythmias (7 papers)Cardiac Fibrosis and Remodeling (6 papers)Cardiac Ischemia and Reperfusion (6 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Yuichiro Adachi
36 papers receiving 853 citations
Peers
Comparison fields: 5 of 90
- Cardiology and Cardiovascular Medicine 342
- Molecular Biology 286
- Immunology 149
- Endocrinology, Diabetes and Metabolism 128
- Genetics 110
Countries citing papers authored by Yuichiro Adachi
This map shows the geographic impact of Yuichiro Adachi'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 Yuichiro Adachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Adachi more than expected).
Fields of papers citing papers by Yuichiro Adachi
This network shows the impact of papers produced by Yuichiro Adachi. 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 Yuichiro Adachi. The network helps show where Yuichiro Adachi may publish in the future.
Co-authorship network of co-authors of Yuichiro Adachi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichiro Adachi. A scholar is included among the top collaborators of Yuichiro Adachi 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 Yuichiro Adachi. Yuichiro Adachi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 45 | |
| 7 | 42 | |
| 8 | Bone Marrow-derived Stem Cells Can Differentiate into Retinal Neural Cells in Injured Rat Retina and in Pigmentary Retinal Degeneration Rats | 1 |
| 9 | 66 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 25 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 54 | |
| 18 | 13 | |
| 19 | 37 | |
| 20 | 0 |
About Yuichiro Adachi
Yuichiro Adachi is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry and Developmental Neuroscience, having authored 39 papers that have together received 879 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Fibrosis and Remodeling (6 papers) and Cardiac Ischemia and Reperfusion (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (342 citations), Genetics (110 citations) and Hematology (93 citations). Yuichiro Adachi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Susumu Ikehara, Muneo Inaba, Kazuwa Nakao, Koichiro Kuwahara, Masaki Harada, Michio Nakanishi, Yoshihiko Saito, Yasuaki Nakagawa, Nobuki Takahashi and Rika Kawakami. Their work appears in journals such as Circulation, The Journal of Experimental Medicine and The Journal of Immunology.
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.