Motoko Tanaka
- Nephrology top 0.5%
- Molecular Biology
- Physiology top 10%
- Epidemiology
- Nutrition and Dietetics top 5%
- Co-authors
- Masafumi FukagawaHiroshi WatanabeKazutaka MatsushitaMasaki OtagiriToru MaruyamaYu IshimaHirotaka KomabaTadashi Imafuku
- Topics
- Parathyroid Disorders and Treatments (25 papers)Dialysis and Renal Disease Management (15 papers)Pharmacological Effects and Toxicity Studies (8 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Motoko Tanaka
84 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 133
- Nephrology 870
- Molecular Biology 595
- Physiology 361
- Epidemiology 242
- Nutrition and Dietetics 241
Countries citing papers authored by Motoko Tanaka
This map shows the geographic impact of Motoko Tanaka'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 Motoko Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoko Tanaka more than expected).
Fields of papers citing papers by Motoko Tanaka
This network shows the impact of papers produced by Motoko Tanaka. 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 Motoko Tanaka. The network helps show where Motoko Tanaka may publish in the future.
Co-authorship network of co-authors of Motoko Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Motoko Tanaka. A scholar is included among the top collaborators of Motoko Tanaka 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 Motoko Tanaka. Motoko Tanaka 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 | 2 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 22 | |
| 10 | 40 | |
| 11 | 26 | |
| 12 | 146 | |
| 13 | 161 | |
| 14 | 31 | |
| 15 | 306 | |
| 16 | NRAMP1/SLC11A1 gene polymorphisms and host susceptibility to Mycobacterium tuberculosis and M. leprae in South Sulawesi, Indonesia. | 31 |
| 17 | [Management of phosphate in chronic kidney disease--Phosphorus control by hemodialysis with long treatment time]. | 1 |
| 18 | 10 | |
| 19 | 3 | |
| 20 | [Effects of fluvastatin on plasma lipid abnormalities in hemodialysis patients with chronic renal failure]. | 4 |
About Motoko Tanaka
Motoko Tanaka is a scholar working on Nephrology, Virology and Internal Medicine, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (25 papers), Dialysis and Renal Disease Management (15 papers) and Pharmacological Effects and Toxicity Studies (8 papers). The work is most often cited by research in Nephrology (870 citations), Virology (108 citations) and Nutrition and Dietetics (241 citations). Motoko Tanaka has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Masafumi Fukagawa, Hiroshi Watanabe, Kazutaka Matsushita, Masaki Otagiri, Toru Maruyama, Yu Ishima, Hirotaka Komaba, Tadashi Imafuku, Daisuke Kadowaki and Shunsuke Kotani. Their work appears in journals such as PLoS ONE, Chemical Communications and Journal of Virology.
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.