T Oeda
Impact in
-
- Cancer, Lipids, and Metabolism
Papers in
-
- Cell death mechanisms and regulation 2
- Receptor Mechanisms and Signaling 2
- Surgery 4
- Cholesterol and Lipid Metabolism 2
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Aizan Hirai (5 shared papers)Takashi Terano (2 shared papers)Tatsuji Yasuda (2 shared papers)Masatoshi Kitagawa (2 shared papers)Yoshihiko Noguchi (2 shared papers)Shuh Narumiya (2 shared papers)Leonard D. Kohn (1 shared paper)Kazuo Tahara (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Endocrinology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Journal of Chromatography A (1 paper)Molecular Endocrinology (1 paper)
- Partner nations
- JapanUnited StatesCameroon
In The Last Decade
T Oeda
12 papers receiving 390 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 72
- Endocrinology, Diabetes and Metabolism 77
- Pharmacology 38
- Oncology 114
- Molecular Biology 248
Countries citing papers authored by T Oeda
This map shows the geographic impact of T Oeda'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 Oeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Oeda more than expected).
Fields of papers citing papers by T Oeda
This network shows the impact of papers produced by T Oeda. 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 Oeda. The network helps show where T Oeda may publish in the future.
Co-authors
The 25 scholars most cited alongside T Oeda, 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 | 1997 | 214 | |
| 2 | 1992 | 47 | |
| 3 | 2006 | 36 | |
| 4 | 1998 | 35 | |
| 5 | 1996 | 24 | |
| 6 | 1993 | 14 | |
| 7 | 1994 | 11 | |
| 8 | Sterol carrier protein2 (SCP2)-like protein in rat aorta. | 1991 | 11 |
| 9 | 1999 | 3 | |
| 10 | 1989 | 3 | |
| 11 | 1992 | 3 | |
| 12 | 1990 | 1 |
About T Oeda
T Oeda is a scholar working on Molecular Biology, Surgery, Oncology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 12 papers that have together received 402 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Cancer-related Molecular Pathways (2 papers), Cholesterol and Lipid Metabolism (2 papers), Cancer, Lipids, and Metabolism (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Cell death mechanisms and regulation (2 papers), Receptor Mechanisms and Signaling (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Cancer Research (72 citations), Endocrinology, Diabetes and Metabolism (77 citations), Pharmacology (38 citations), Oncology (114 citations) and Molecular Biology (248 citations). T Oeda has collaborated with scholars based in Japan, United States and Cameroon. Frequent co-authors include Aizan Hirai, Takashi Terano, Tatsuji Yasuda, Masatoshi Kitagawa, Yoshihiko Noguchi, Shuh Narumiya, Leonard D. Kohn, Kazuo Tahara, Ichiro Tatsuno and Yasushi Saito. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Biochemical and Biophysical Research Communications, Journal of Chromatography A and Molecular Endocrinology.
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.