Shin‐ichi Araki
- Nephrology top 0.2%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Physiology top 2%
- Co-authors
- Masakazu HanedaDaisuke KoyaToshiro SugimotoTakashi UzuShinji KumeKeiji IsshikiAtsunori KashiwagiMasami Chin‒Kanasaki
- Topics
- Chronic Kidney Disease and Diabetes (46 papers)Diabetes Treatment and Management (25 papers)Renal Diseases and Glomerulopathies (14 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shin‐ichi Araki
131 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Nephrology 1.9k
- Molecular Biology 1.9k
- Endocrinology, Diabetes and Metabolism 1.6k
- Epidemiology 1.3k
- Physiology 1.2k
Countries citing papers authored by Shin‐ichi Araki
This map shows the geographic impact of Shin‐ichi Araki'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 Shin‐ichi Araki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin‐ichi Araki more than expected).
Fields of papers citing papers by Shin‐ichi Araki
This network shows the impact of papers produced by Shin‐ichi Araki. 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 Shin‐ichi Araki. The network helps show where Shin‐ichi Araki may publish in the future.
Co-authorship network of co-authors of Shin‐ichi Araki
This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐ichi Araki. A scholar is included among the top collaborators of Shin‐ichi Araki 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 Shin‐ichi Araki. Shin‐ichi Araki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | SGLT2 Inhibition Mediates Protection from Diabetic Kidney Disease by Promoting Ketone Body-Induced mTORC1 Inhibitionbreakdown → | 267 |
| 3 | 20 | |
| 4 | 40 | |
| 5 | 27 | |
| 6 | 182 | |
| 7 | 39 | |
| 8 | 5 | |
| 9 | 24 | |
| 10 | 14 | |
| 11 | 69 | |
| 12 | 1 | |
| 13 | 64 | |
| 14 | 0 | |
| 15 | 72 | |
| 16 | 104 | |
| 17 | 8 | |
| 18 | 36 | |
| 19 | 72 | |
| 20 | 4 |
About Shin‐ichi Araki
Shin‐ichi Araki is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 139 papers that have together received 6.5k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (46 papers), Diabetes Treatment and Management (25 papers) and Renal Diseases and Glomerulopathies (14 papers). The work is most often cited by research in Nephrology (1.9k citations), Geriatrics and Gerontology (562 citations) and Clinical Biochemistry (660 citations). Shin‐ichi Araki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masakazu Haneda, Daisuke Koya, Toshiro Sugimoto, Takashi Uzu, Shinji Kume, Keiji Isshiki, Atsunori Kashiwagi, Masami Chin‒Kanasaki, Hiroshi Maegawa and Motohide Isono. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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.