Masami Chin‒Kanasaki
- Molecular Biology top 10%
- Epidemiology top 5%
- Nephrology top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Co-authors
- Shin‐ichi ArakiShinji KumeTakashi UzuDaisuke KoyaMasakazu HanedaKeiji IsshikiToshiro SugimotoAtsunori Kashiwagi
- Topics
- Chronic Kidney Disease and Diabetes (13 papers)Renal Diseases and Glomerulopathies (8 papers)Autophagy in Disease and Therapy (8 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masami Chin‒Kanasaki
45 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 993
- Epidemiology 892
- Nephrology 878
- Endocrinology, Diabetes and Metabolism 716
- Physiology 688
Countries citing papers authored by Masami Chin‒Kanasaki
This map shows the geographic impact of Masami Chin‒Kanasaki'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 Masami Chin‒Kanasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masami Chin‒Kanasaki more than expected).
Fields of papers citing papers by Masami Chin‒Kanasaki
This network shows the impact of papers produced by Masami Chin‒Kanasaki. 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 Masami Chin‒Kanasaki. The network helps show where Masami Chin‒Kanasaki may publish in the future.
Co-authorship network of co-authors of Masami Chin‒Kanasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Masami Chin‒Kanasaki. A scholar is included among the top collaborators of Masami Chin‒Kanasaki 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 Masami Chin‒Kanasaki. Masami Chin‒Kanasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | SGLT2 Inhibition Mediates Protection from Diabetic Kidney Disease by Promoting Ketone Body-Induced mTORC1 Inhibitionbreakdown → | 267 |
| 7 | 20 | |
| 8 | 40 | |
| 9 | 30 | |
| 10 | 38 | |
| 11 | 44 | |
| 12 | 182 | |
| 13 | 32 | |
| 14 | 5 | |
| 15 | 69 | |
| 16 | Calorie restriction enhances cell adaptation to hypoxia through Sirt1-dependent mitochondrial autophagy in mouse aged kidneybreakdown → | 501 |
| 17 | 20 | |
| 18 | 72 | |
| 19 | 70 | |
| 20 | 229 |
About Masami Chin‒Kanasaki
Masami Chin‒Kanasaki is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 45 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (13 papers), Renal Diseases and Glomerulopathies (8 papers) and Autophagy in Disease and Therapy (8 papers). The work is most often cited by research in Nephrology (878 citations), Geriatrics and Gerontology (289 citations) and Aging (76 citations). Masami Chin‒Kanasaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shin‐ichi Araki, Shinji Kume, Takashi Uzu, Daisuke Koya, Masakazu Haneda, Keiji Isshiki, Toshiro Sugimoto, Atsunori Kashiwagi, Hiroshi Maegawa and Hisazumi Araki. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and Cell Metabolism.
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.