Teruki Miyake
Impact in
- Hepatology top 1%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Equine top 1%
Papers in
- Hepatology 39
- Liver Disease and Transplantation 19
- Hepatitis C virus research 12
- Equine 6
- Co-authors
- Yoichi HiasaBunzo MatsuuraMasanori AbeN. KondoM TakadaShigeo OhnoFumihito AkishinonomiyaShinya Furukawa
- Journals
- Journal of Gastroenterology (9 papers)Journal of Diabetes Investigation (8 papers)Animal Genetics (6 papers)Journal of Animal Breeding and Genetics (5 papers)Regulatory Peptides (3 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Teruki Miyake
178 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 148
- Hepatology 690
- Equine 116
- Animal Science and Zoology 520
- Epidemiology 1.3k
- Endocrinology, Diabetes and Metabolism 583
Countries citing papers authored by Teruki Miyake
This map shows the geographic impact of Teruki Miyake'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 Teruki Miyake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruki Miyake more than expected).
Fields of papers citing papers by Teruki Miyake
This network shows the impact of papers produced by Teruki Miyake. 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 Teruki Miyake. The network helps show where Teruki Miyake may publish in the future.
Co-authors
The 25 scholars most cited alongside Teruki Miyake, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 3 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 14 | |
| 16 | High fat diet affects differently on stress responses according to sex in rat | 2017 | 1 |
| 17 | 2017 | 8 | |
| 18 | 2017 | 4 | |
| 19 | 2008 | 31 | |
| 20 | 1988 | 240 |
About Teruki Miyake
Teruki Miyake is a scholar working on Hepatology, Equine, Gastroenterology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 189 papers that have together received 3.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (54 papers), Liver Disease and Transplantation (19 papers), Diet, Metabolism, and Disease (16 papers), Genetic and phenotypic traits in livestock (13 papers), Pancreatitis Pathology and Treatment (13 papers), Hepatitis C virus research (12 papers), Gastrointestinal motility and disorders (10 papers) and Alcohol Consumption and Health Effects (10 papers). The work is most often cited by research in Hepatology (690 citations), Equine (116 citations), Animal Science and Zoology (520 citations), Epidemiology (1.3k citations) and Endocrinology, Diabetes and Metabolism (583 citations). Teruki Miyake has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Yoichi Hiasa, Bunzo Matsuura, Masanori Abe, N. Kondo, M Takada, Shigeo Ohno, Fumihito Akishinonomiya, Shinya Furukawa, Morikazu Onji and Masashi Hirooka. Their work appears in journals such as Journal of Gastroenterology, Journal of Diabetes Investigation, Animal Genetics, Journal of Animal Breeding and Genetics and Regulatory Peptides.
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.