C. Takeguchi
Impact in
- Pharmacology top 2%
- Inflammatory mediators and NSAID effects
- Pharmacogenetics and Drug Metabolism
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Steroid Chemistry and Biochemistry 2
- ATP Synthase and ATPases Research 2
- Plant biochemistry and biosynthesis 1
-
- Inflammatory mediators and NSAID effects 4
- Pharmacogenetics and Drug Metabolism 1
- Co-authors
- Charles J. Sih (6 shared papers)Eitaro Kohno (1 shared paper)Harry Y. Yamamoto (1 shared paper)Michitaro Nagasawa (1 shared paper)James A. Chan (1 shared paper)Heinrich K. Schnoes (1 shared paper)H.-H. Tai (1 shared paper)Ulrich E. Honegger (1 shared paper)
- Journals
- Biochemistry (4 papers)Annals of the New York Academy of Sciences (1 paper)Prostaglandins (1 paper)Journal of the American Chemical Society (1 paper)Life Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
C. Takeguchi
9 papers receiving 402 citations
Peers
Comparison fields: 5 of 76
- Pharmacology 314
- Biochemistry 130
- Pharmacology 88
- Biochemistry 19
- Endocrinology, Diabetes and Metabolism 44
Countries citing papers authored by C. Takeguchi
This map shows the geographic impact of C. Takeguchi'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 C. Takeguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Takeguchi more than expected).
Fields of papers citing papers by C. Takeguchi
This network shows the impact of papers produced by C. Takeguchi. 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 C. Takeguchi. The network helps show where C. Takeguchi may publish in the future.
Co-authors
The 13 scholars most cited alongside C. Takeguchi, 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 | 1971 | 163 | |
| 2 | 1972 | 102 | |
| 3 | 1970 | 71 | |
| 4 | 1975 | 45 | |
| 5 | 1972 | 30 | |
| 6 | 1971 | 25 | |
| 7 | 1968 | 22 | |
| 8 | 1976 | 12 | |
| 9 | 1977 | 12 |
About C. Takeguchi
C. Takeguchi is a scholar working on Molecular Biology, Pharmacology, Clinical Biochemistry, Spectroscopy and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 482 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (4 papers), Metabolism and Genetic Disorders (2 papers), Steroid Chemistry and Biochemistry (2 papers), Analytical Chemistry and Chromatography (2 papers), ATP Synthase and ATPases Research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Estrogen and related hormone effects (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Pharmacology (314 citations), Biochemistry (130 citations), Pharmacology (88 citations), Biochemistry (19 citations) and Endocrinology, Diabetes and Metabolism (44 citations). C. Takeguchi has collaborated with scholars based in United States. Frequent co-authors include Charles J. Sih, Eitaro Kohno, Harry Y. Yamamoto, Michitaro Nagasawa, James A. Chan, Heinrich K. Schnoes, H.-H. Tai, Ulrich E. Honegger, Elwood Titus and John F. Halsey. Their work appears in journals such as Biochemistry, Annals of the New York Academy of Sciences, Prostaglandins, Journal of the American Chemical Society and Life Sciences.
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.