Tadayoshi Higashiyama
- Genetics top 10%
- Molecular Biology
- Reproductive Medicine top 10%
- Pharmacology top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Yoshio OsawaDebashis GhoshFrancisco G. Hernandez-GuzmanCarol YarboroughWalter PangbornYukiko ShimizuTakara YamamotoNobutaka Yoshida
- Topics
- Estrogen and related hormone effects (10 papers)Effects and risks of endocrine disrupting chemicals (6 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Steroid Biochemistry and Molecular BiologySteroids
- Partner nations
- United StatesJapan
In The Last Decade
Tadayoshi Higashiyama
13 papers receiving 473 citations
Peers
Comparison fields: 5 of 70
- Genetics 286
- Molecular Biology 225
- Reproductive Medicine 83
- Pharmacology 68
- Endocrinology, Diabetes and Metabolism 51
Countries citing papers authored by Tadayoshi Higashiyama
This map shows the geographic impact of Tadayoshi Higashiyama'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 Tadayoshi Higashiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadayoshi Higashiyama more than expected).
Fields of papers citing papers by Tadayoshi Higashiyama
This network shows the impact of papers produced by Tadayoshi Higashiyama. 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 Tadayoshi Higashiyama. The network helps show where Tadayoshi Higashiyama may publish in the future.
Co-authorship network of co-authors of Tadayoshi Higashiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Tadayoshi Higashiyama. A scholar is included among the top collaborators of Tadayoshi Higashiyama 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 Tadayoshi Higashiyama. Tadayoshi Higashiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 140 | |
| 3 | 19 | |
| 4 | 58 | |
| 5 | 12 | |
| 6 | 23 | |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 90 | |
| 10 | 33 | |
| 11 | 3 | |
| 12 | Multiple forms of aromatase and response of breast cancer aromatase to antiplacental aromatase II antibodies. | 36 |
| 13 | 12 |
About Tadayoshi Higashiyama
Tadayoshi Higashiyama is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis and Genetics, having authored 13 papers that have together received 477 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Genetics (286 citations), Reproductive Medicine (83 citations) and Pharmacology (68 citations). Tadayoshi Higashiyama has collaborated with scholars based in United States and Japan. Frequent co-authors include Yoshio Osawa, Debashis Ghosh, Francisco G. Hernandez-Guzman, Carol Yarborough, Walter Pangborn, Yukiko Shimizu, Takara Yamamoto, Nobutaka Yoshida, Jo Kitawaki and Hideo Honjo. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Steroid Biochemistry and Molecular Biology and Steroids.
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.