Takashi Iyanagi
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism 28
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism 13
- Toxicology top 1%
- Clinical Biochemistry top 1%
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- Neonatal Health and Biochemistry 17
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- Drug Transport and Resistance Mechanisms 11
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- Photosynthetic Processes and Mechanisms 10
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- Pancreatic function and diabetes 10
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- Electrochemical sensors and biosensors 8
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- Nitric Oxide and Endothelin Effects 7
- Co-authors
- Isao YamazakiShinichi IkushiroHoward S. MasonYoshikazu EmiBrian BurchellDaniel W. NebertPeter I. MackenzieIda S. Owens
- Cited by
- PharmacologyBiochemistryToxicology
- Journals
- Journal of Biological Chemistry (12 papers)Biochemistry (12 papers)Analytical Biochemistry (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takashi Iyanagi
85 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Pharmacology 2.2k
- Biochemistry 444
- Toxicology 181
- Clinical Biochemistry 319
- Pediatrics, Perinatology and Child Health 908
Countries citing papers authored by Takashi Iyanagi
This map shows the geographic impact of Takashi Iyanagi'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 Takashi Iyanagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Iyanagi more than expected).
Fields of papers citing papers by Takashi Iyanagi
This network shows the impact of papers produced by Takashi Iyanagi. 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 Takashi Iyanagi. The network helps show where Takashi Iyanagi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Iyanagi, 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 | 2018 | 48 | |
| 2 | 2009 | 83 | |
| 3 | 2007 | 8 | |
| 4 | 2004 | 26 | |
| 5 | 2004 | 25 | |
| 6 | 2003 | 37 | |
| 7 | 2003 | 11 | |
| 8 | 2003 | 65 | |
| 9 | 2002 | 13 | |
| 10 | 2001 | 1 | |
| 11 | 2001 | 25 | |
| 12 | 1998 | 72 | |
| 13 | The UDP glycosyltransferase gene superfamily: recommended nomenclature update based on evolutionary divergencebreakdown → | 1997 | 985 |
| 14 | 1995 | 131 | |
| 15 | 1992 | 43 | |
| 16 | 1991 | 7 | |
| 17 | 1990 | 34 | |
| 18 | 1990 | 32 | |
| 19 | 1980 | 3 | |
| 20 | 1969 | 95 |
About Takashi Iyanagi
Takashi Iyanagi is a scholar working on Pharmacology, Biochemistry and Pediatrics, Perinatology and Child Health, having authored 85 papers that have together received 6.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (28 papers), Neonatal Health and Biochemistry (17 papers), Amino Acid Enzymes and Metabolism (13 papers), Drug Transport and Resistance Mechanisms (11 papers), Photosynthetic Processes and Mechanisms (10 papers), Pancreatic function and diabetes (10 papers), Electrochemical sensors and biosensors (8 papers) and Nitric Oxide and Endothelin Effects (7 papers). The work is most often cited by research in Pharmacology (2.2k citations), Biochemistry (444 citations) and Toxicology (181 citations). Takashi Iyanagi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Isao Yamazaki, Shinichi Ikushiro, Howard S. Mason, Yoshikazu Emi, Brian Burchell, Daniel W. Nebert, Peter I. Mackenzie, Ida S. Owens, Shigeru Ōae and Karl Walter Bock. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.
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.