T Takemura
- Molecular Biology
- Reproductive Medicine top 5%
- Immunology
- Surgery
- Public Health, Environmental and Occupational Health
- Co-authors
- Kanae YokogawaShigeo KawataS. IsojimaYuji NaitoSusumu AdachiHajime OyamadaKoji KoyamaHiroaki Shibahara
- Topics
- Ovarian cancer diagnosis and treatment (9 papers)Enzyme Production and Characterization (7 papers)Glycosylation and Glycoproteins Research (5 papers)
- Partner nations
- JapanUnited States
In The Last Decade
T Takemura
48 papers receiving 529 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 169
- Reproductive Medicine 131
- Immunology 127
- Surgery 96
- Public Health, Environmental and Occupational Health 77
Countries citing papers authored by T Takemura
This map shows the geographic impact of T Takemura'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 T Takemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Takemura more than expected).
Fields of papers citing papers by T Takemura
This network shows the impact of papers produced by T Takemura. 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 T Takemura. The network helps show where T Takemura may publish in the future.
Co-authorship network of co-authors of T Takemura
This figure shows the co-authorship network connecting the top 25 collaborators of T Takemura. A scholar is included among the top collaborators of T Takemura 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 T Takemura. T Takemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 13 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 28 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Proliferative activity and p53 over-expression of ovarian epithelial tumors. | 4 |
| 10 | 43 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 25 | |
| 14 | 4 | |
| 15 | [Role of free radicals and lipid peroxidation in gastric mucosal injury induced by ischemia-reperfusion in rats]. | 6 |
| 16 | 8 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | [Role of lipid peroxidation and polymorphonuclear leukocytes-derived oxygen radicals in acute gastric lesions induced by hyperthermic treatment]. | 2 |
| 20 | [Role of oxygen-derived free radicals in gastric mucosal lesions induced by burn injury in rats]. | 2 |
About T Takemura
T Takemura is a scholar working on Reproductive Medicine, Biotechnology and Obstetrics and Gynecology, having authored 50 papers that have together received 583 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Enzyme Production and Characterization (7 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Reproductive Medicine (131 citations), Obstetrics and Gynecology (69 citations) and Equine (12 citations). T Takemura has collaborated with scholars based in Japan and United States. Frequent co-authors include Kanae Yokogawa, Shigeo Kawata, S. Isojima, Yuji Naito, Susumu Adachi, Hajime Oyamada, Koji Koyama, Hiroaki Shibahara, Takeo Yoshikawa and Yoshiyuki Tsuji. Their work appears in journals such as Gastroenterology, Cancer and International Journal of Molecular 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.