T Oeda

446 citations
12 papers · 414 · h-index 8

Impact in

Papers in

    • Cell death mechanisms and regulation 2
    • Receptor Mechanisms and Signaling 2
    • Lipoproteins and Cardiovascular Health 2
    • Cholesterol and Lipid Metabolism 2

T Oeda

12 papers receiving 400 citations

Peers

T Oeda
Comparison fields: 5 of 58
  • Cancer Research 65
  • Pharmacology 39
  • Endocrinology, Diabetes and Metabolism 69
  • Oncology 101
  • Molecular Biology 240
Replace Robert Dullea with:
Robert Dullea United States
William P. Prichett United States
Tim Rupp United States
M L Brown United States
Toshiaki Segawa Japan
Francine Sirois Canada
Gamil R. Antoun United States
Juro Takahashi Japan
Thorsten Eismann United States
William H. Kelsey United States
T Oeda relative to Robert Dullea United States Robert Dullea's profile →
Citations per field
00.5×1.5×2.3×
Robert Dullea · 1×
Citations per year

Countries citing papers authored by T Oeda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with T Oeda Line = papers co-authored together T Oeda links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1997218
2 199247
3 200637
4 199836
5 199629
6 199315
7 199411
8
Sterol carrier protein2 (SCP2)-like protein in rat aorta.
199111
9 19893
10 19993
11 19923
12 19901

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 414 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Cell death mechanisms and regulation (2 papers), Cancer, Lipids, and Metabolism (2 papers), Pharmacological Effects and Assays (2 papers), Cancer-related Molecular Pathways (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cancer Research (65 citations), Pharmacology (39 citations), Endocrinology, Diabetes and Metabolism (69 citations), Oncology (101 citations) and Molecular Biology (240 citations). T Oeda has collaborated with scholars based in Japan, Hungary and United States. Frequent co-authors include Aizan Hirai, Takashi Terano, Shuh Narumiya, Yoshihiko Noguchi, Masatoshi Kitagawa, Tatsuji Yasuda, Yasushi Saito, Kazuo Tahara, Susumu Nakamura and Leonard D. Kohn. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Chromatography A, Molecular Endocrinology and 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.

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