Fukashi Ishibashi
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Ophthalmology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Mitra TavakoliMiki TaniguchiBarbara V. HowardAsami KawasakiRie KojimaAngela C. ShoreHassan FadaviHideki Hidaka
- Topics
- Pancreatic function and diabetes (12 papers)Metabolism, Diabetes, and Cancer (9 papers)Retinal Diseases and Treatments (8 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Fukashi Ishibashi
54 papers receiving 769 citations
Peers
Comparison fields: 5 of 88
- Physiology 229
- Endocrinology, Diabetes and Metabolism 183
- Molecular Biology 173
- Ophthalmology 143
- Radiology, Nuclear Medicine and Imaging 136
Countries citing papers authored by Fukashi Ishibashi
This map shows the geographic impact of Fukashi Ishibashi'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 Fukashi Ishibashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fukashi Ishibashi more than expected).
Fields of papers citing papers by Fukashi Ishibashi
This network shows the impact of papers produced by Fukashi Ishibashi. 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 Fukashi Ishibashi. The network helps show where Fukashi Ishibashi may publish in the future.
Co-authorship network of co-authors of Fukashi Ishibashi
This figure shows the co-authorship network connecting the top 25 collaborators of Fukashi Ishibashi. A scholar is included among the top collaborators of Fukashi Ishibashi 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 Fukashi Ishibashi. Fukashi Ishibashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 88 | |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 27 | |
| 8 | 13 | |
| 9 | 42 | |
| 10 | 24 | |
| 11 | 23 | |
| 12 | 27 | |
| 13 | 25 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | Increased Urinary Transferrin Excretion in Non-Insulin-Dependent Diabetes Mellitus (NIDDM) | 0 |
| 20 | 1 |
About Fukashi Ishibashi
Fukashi Ishibashi is a scholar working on Ophthalmology, Nephrology and Clinical Biochemistry, having authored 56 papers that have together received 810 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Metabolism, Diabetes, and Cancer (9 papers) and Retinal Diseases and Treatments (8 papers). The work is most often cited by research in Ophthalmology (143 citations), Endocrinology, Diabetes and Metabolism (183 citations) and Clinical Biochemistry (68 citations). Fukashi Ishibashi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Mitra Tavakoli, Miki Taniguchi, Barbara V. Howard, Asami Kawasaki, Rie Kojima, Angela C. Shore, Hassan Fadavi, Hideki Hidaka, Ryuzo Kawamori and B. V. Howard. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.