Takayasu Taira
- Nephrology top 5%
- Parathyroid Disorders and Treatments 2
- Chronic Kidney Disease and Diabetes 2
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- Drug-Induced Hepatotoxicity and Protection 3
- Pharmacogenetics and Drug Metabolism 2
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- Lipoproteins and Cardiovascular Health 6
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- Lipid metabolism and disorders 3
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- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
Takayasu Taira
19 papers receiving 287 citations
Peers
Comparison fields: 5 of 68
- Nephrology 123
- Endocrinology, Diabetes and Metabolism 86
- Pharmacology 27
- Surgery 105
- Cancer Research 28
Countries citing papers authored by Takayasu Taira
This map shows the geographic impact of Takayasu Taira'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 Takayasu Taira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayasu Taira more than expected).
Fields of papers citing papers by Takayasu Taira
This network shows the impact of papers produced by Takayasu Taira. 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 Takayasu Taira. The network helps show where Takayasu Taira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takayasu Taira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2015 | 0 | |
| 3 | 2010 | 5 | |
| 4 | Remnant lipoprotein cholesterol homogenous assay (RemL-C) is closely associated with very-low-density lipoprotein remnants: comparison with the immunoseparation assay. | 2008 | 1 |
| 5 | 2007 | 43 | |
| 6 | 2007 | 11 | |
| 7 | 2006 | 41 | |
| 8 | [Treatment of adynamic bone disease with the complete replacement from calcium carbonate to sevelamer hydrochloride]. | 2005 | 2 |
| 9 | 2004 | 36 | |
| 10 | 2004 | 11 | |
| 11 | 2003 | 1 | |
| 12 | 1998 | 19 | |
| 13 | Expression of apoptosis-related molecules in acute renal injury. | 1996 | 6 |
| 14 | 1996 | 17 | |
| 15 | 1994 | 6 | |
| 16 | 1993 | 20 | |
| 17 | 1993 | 8 | |
| 18 | 1993 | 4 | |
| 19 | [Changes of urinary human epidermal growth factor excretion in 16 patients with acute renal failure]. | 1992 | 0 |
| 20 | [Effect of partial nephrectomy on mercuric chloride-induced acute renal failure]. | 1991 | 1 |
About Takayasu Taira
Takayasu Taira is a scholar working on Nephrology, Pharmacology and Cancer Research, having authored 22 papers that have together received 299 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Lipid metabolism and disorders (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Parathyroid Disorders and Treatments (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Nephrology (123 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Pharmacology (27 citations). Takayasu Taira has collaborated with scholars based in Japan and Canada. Frequent co-authors include Terukuni Ideura, Tsutomu Hirano, Mitsuru Adachi, Shigeki Iwasaki, Ashio Yoshimura, Toru Hyodo, Ken‐ichi Inui, Shozo Koshikawa, Shunsuke Watanabe and Yusaku Mori. Their work appears in journals such as Journal of the American Society of Nephrology, American Journal of Kidney Diseases and Atherosclerosis.
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.