Shinya Furukawa
- Epidemiology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Hepatology top 2%
- Physiology top 5%
- Surgery
- Co-authors
- Yoichi HiasaBunzo MatsuuraMorikazu OnjiMasanori AbeTeruki MiyakeTeru KumagiYoshihiro MiyakeNorio Horiike
- Topics
- Liver Disease Diagnosis and Treatment (41 papers)Liver Diseases and Immunity (15 papers)Diet, Metabolism, and Disease (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Shinya Furukawa
136 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Epidemiology 1.2k
- Endocrinology, Diabetes and Metabolism 631
- Hepatology 527
- Physiology 383
- Surgery 245
Countries citing papers authored by Shinya Furukawa
This map shows the geographic impact of Shinya Furukawa'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 Shinya Furukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Furukawa more than expected).
Fields of papers citing papers by Shinya Furukawa
This network shows the impact of papers produced by Shinya Furukawa. 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 Shinya Furukawa. The network helps show where Shinya Furukawa may publish in the future.
Co-authorship network of co-authors of Shinya Furukawa
This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Furukawa. A scholar is included among the top collaborators of Shinya Furukawa 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 Shinya Furukawa. Shinya Furukawa 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 | 1 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | High fat diet affects differently on stress responses according to sex in rat | 1 |
| 18 | 11 | |
| 19 | Changes of anthropometric and biological parameters in patients with non-alcoholic steatohepatitis for dietary modification | 1 |
| 20 | 31 |
About Shinya Furukawa
Shinya Furukawa is a scholar working on Hepatology, Gastroenterology and Endocrinology, Diabetes and Metabolism, having authored 144 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (41 papers), Liver Diseases and Immunity (15 papers) and Diet, Metabolism, and Disease (15 papers). The work is most often cited by research in Hepatology (527 citations), Endocrinology, Diabetes and Metabolism (631 citations) and Epidemiology (1.2k citations). Shinya Furukawa has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Yoichi Hiasa, Bunzo Matsuura, Morikazu Onji, Masanori Abe, Teruki Miyake, Teru Kumagi, Yoshihiro Miyake, Norio Horiike, Keiko Tanaka and Tetsuji Niiya. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology 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.