Tetsuo Adachi
- Molecular Biology
- Pharmacology top 10%
- Oncology
- Pharmacology top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Kazuyuki HiranoMamoru SugiuraYoshimasa ItoYoshiko UsamiYoshihiro KatagiriTadashi SugiyamaMasae TatematsuHirokazu Hara
- Topics
- Glutathione Transferases and Polymorphisms (4 papers)Metabolism and Genetic Disorders (3 papers)Cholinesterase and Neurodegenerative Diseases (3 papers)
- Cited by
- PharmacologyBiochemistry
In The Last Decade
Tetsuo Adachi
23 papers receiving 385 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 175
- Pharmacology 110
- Oncology 86
- Pharmacology 68
- Computational Theory and Mathematics 53
Countries citing papers authored by Tetsuo Adachi
This map shows the geographic impact of Tetsuo Adachi'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 Tetsuo Adachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Adachi more than expected).
Fields of papers citing papers by Tetsuo Adachi
This network shows the impact of papers produced by Tetsuo Adachi. 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 Tetsuo Adachi. The network helps show where Tetsuo Adachi may publish in the future.
Co-authorship network of co-authors of Tetsuo Adachi
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Adachi. A scholar is included among the top collaborators of Tetsuo Adachi 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 Tetsuo Adachi. Tetsuo Adachi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Relationship between Homocysteine and Superoxide Dismutase in Homocystinuria : Possible Relevance to Cardiovascular Risk. | 3 |
| 2 | 48 | |
| 3 | 34 | |
| 4 | 17 | |
| 5 | 133 | |
| 6 | Studies on Superoxide Dismutase in Human Skin (4). : Contents of Superoxide Dismutase and Lipid Peroxide in Keloid, Hypertrophic Scar and Scar. | 1 |
| 7 | Killer properties of wine yeasts and characterization of killer wine yeasts | 18 |
| 8 | 9 | |
| 9 | 7 | |
| 10 | An Enzymatic Method for the Determination of Inorganic Phosphate in Urine | 1 |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 5 |
About Tetsuo Adachi
Tetsuo Adachi is a scholar working on Clinical Biochemistry, Biochemistry and Nephrology, having authored 25 papers that have together received 399 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (4 papers), Metabolism and Genetic Disorders (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Pharmacology (68 citations), Pharmacology (110 citations) and Biochemistry (25 citations). Tetsuo Adachi has collaborated with scholars based in Japan and Australia. Frequent co-authors include Kazuyuki Hirano, Mamoru Sugiura, Yoshimasa Ito, Yoshiko Usami, Yoshihiro Katagiri, Tadashi Sugiyama, Masae Tatematsu, Hirokazu Hara, Hiroshi Sakamoto and Minoru Takahashi. Their work appears in journals such as Cancer Letters, Biological and Pharmaceutical Bulletin and Chemical and Pharmaceutical Bulletin.
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.