Emi Yakushiji
- Surgery top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research top 10%
- Oncology
- Co-authors
- Makoto AyaoriShunichi TakiguchiKazuhiro NakayaHarumi Uto‐KondoKatsunori IkewakiMasatsune OguraTomohiro KomatsuMakoto Sasaki
- Topics
- Cholesterol and Lipid Metabolism (17 papers)Peroxisome Proliferator-Activated Receptors (12 papers)Cancer, Lipids, and Metabolism (8 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Emi Yakushiji
25 papers receiving 796 citations
Peers
Comparison fields: 5 of 78
- Surgery 381
- Molecular Biology 289
- Endocrinology, Diabetes and Metabolism 193
- Cancer Research 184
- Oncology 165
Countries citing papers authored by Emi Yakushiji
This map shows the geographic impact of Emi Yakushiji'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 Emi Yakushiji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Yakushiji more than expected).
Fields of papers citing papers by Emi Yakushiji
This network shows the impact of papers produced by Emi Yakushiji. 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 Emi Yakushiji. The network helps show where Emi Yakushiji may publish in the future.
Co-authorship network of co-authors of Emi Yakushiji
This figure shows the co-authorship network connecting the top 25 collaborators of Emi Yakushiji. A scholar is included among the top collaborators of Emi Yakushiji 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 Emi Yakushiji. Emi Yakushiji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 69 | |
| 3 | 20 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | Abstract 11008: Ezetimibe Enhances Macrophage Reverse Cholesterol Transport in Hamsters Independent of Transintestinal Cholesterol Efflux Pathway | 1 |
| 7 | 18 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 107 | |
| 11 | 48 | |
| 12 | 24 | |
| 13 | 42 | |
| 14 | 15 | |
| 15 | 90 | |
| 16 | 94 | |
| 17 | Abstract 15463: Pioglitazone Enhances Cholesterol Efflux From Macrophages by Increasing ABCA1/ABCG1 Expressions via LXR{alpha}/PPAR{gamma} Pathway: Findings From in vitro and ex vivo Studies | 4 |
| 18 | 32 | |
| 19 | 1 | |
| 20 | 58 |
About Emi Yakushiji
Emi Yakushiji is a scholar working on Cancer Research, Surgery and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 814 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (17 papers), Peroxisome Proliferator-Activated Receptors (12 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Cancer Research (184 citations), Endocrinology, Diabetes and Metabolism (193 citations) and Surgery (381 citations). Emi Yakushiji has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Makoto Ayaori, Shunichi Takiguchi, Kazuhiro Nakaya, Harumi Uto‐Kondo, Katsunori Ikewaki, Masatsune Ogura, Tomohiro Komatsu, Makoto Sasaki, Tetsuya Hisada and Yoshio Terao. Their work appears in journals such as Nature, Circulation and Circulation Research.
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.