Ayami Saga
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Liver physiology and pathology
Papers in
- Surgery 18
- Xenotransplantation and immune response 8
- Pancreatic function and diabetes 6
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Yoshiki Sawa (13 shared papers)Akifumi Matsuyama (8 shared papers)Hanayuki Okura (8 shared papers)Hiroshi Komoda (6 shared papers)Nagako Sougawa (3 shared papers)Shizuya Yamashita (9 shared papers)Akihiro Ichinose (6 shared papers)Tohru Ohama (10 shared papers)
- Journals
- Journal of Atherosclerosis and Thrombosis (5 papers)Tissue Engineering Part C Methods (3 papers)Biochemical and Biophysical Research Communications (2 papers)Atherosclerosis (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Ayami Saga
22 papers receiving 381 citations
Peers
Comparison fields: 5 of 58
- Genetics 110
- Hepatology 32
- Neurology 54
- Surgery 156
- Biomaterials 36
Countries citing papers authored by Ayami Saga
This map shows the geographic impact of Ayami Saga'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 Ayami Saga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayami Saga more than expected).
Fields of papers citing papers by Ayami Saga
This network shows the impact of papers produced by Ayami Saga. 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 Ayami Saga. The network helps show where Ayami Saga may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayami Saga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 72 | |
| 2 | 2009 | 56 | |
| 3 | 2009 | 52 | |
| 4 | 2009 | 38 | |
| 5 | 2009 | 28 | |
| 6 | 2019 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2010 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2018 | 12 | |
| 11 | 2012 | 11 | |
| 12 | 2008 | 9 | |
| 13 | 2011 | 7 | |
| 14 | 2006 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2006 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2012 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2008 | 1 |
About Ayami Saga
Ayami Saga is a scholar working on Surgery, Molecular Biology, Genetics, Epidemiology and Hepatology, having authored 28 papers that have together received 388 indexed citations. Recurring topics across this work include Xenotransplantation and immune response (8 papers), Mesenchymal stem cell research (6 papers), Pancreatic function and diabetes (6 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cholesterol and Lipid Metabolism (3 papers), Lipid metabolism and disorders (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Genetics (110 citations), Hepatology (32 citations), Neurology (54 citations), Surgery (156 citations) and Biomaterials (36 citations). Ayami Saga has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshiki Sawa, Akifumi Matsuyama, Hanayuki Okura, Hiroshi Komoda, Nagako Sougawa, Shizuya Yamashita, Akihiro Ichinose, Tohru Ohama, Chun Man Lee and Koichi Kawamoto. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Tissue Engineering Part C Methods, Biochemical and Biophysical Research Communications, Atherosclerosis and PLoS ONE.
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.