Hiroo Takikawa
- Cell Biology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Genetics
- Reproductive Medicine top 10%
- Co-authors
- Shigeyasu TanakaLinda E. HammondMichael RonkJohn E. ShivelyAndrew StolzH. LouYukio KatoToshikazu Hirai
- Topics
- Estrogen and related hormone effects (9 papers)Erythrocyte Function and Pathophysiology (3 papers)Reproductive Biology and Fertility (3 papers)
In The Last Decade
Hiroo Takikawa
28 papers receiving 383 citations
Peers
Comparison fields: 5 of 61
- Cell Biology 115
- Endocrinology, Diabetes and Metabolism 108
- Molecular Biology 106
- Genetics 87
- Reproductive Medicine 65
Countries citing papers authored by Hiroo Takikawa
This map shows the geographic impact of Hiroo Takikawa'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 Hiroo Takikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroo Takikawa more than expected).
Fields of papers citing papers by Hiroo Takikawa
This network shows the impact of papers produced by Hiroo Takikawa. 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 Hiroo Takikawa. The network helps show where Hiroo Takikawa may publish in the future.
Co-authorship network of co-authors of Hiroo Takikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroo Takikawa. A scholar is included among the top collaborators of Hiroo Takikawa 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 Hiroo Takikawa. Hiroo Takikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | cDNA cloning and expression of the human hepatic bile acid-binding protein | 30 |
| 2 | 35 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 22 | |
| 11 | 37 | |
| 12 | [Combined therapies with medroxyprogesterone acetate (MPA) in DMBA-induced rat mammary cancer]. | 1 |
| 13 | Amphibian and Reptilian Gonadotoropin : Biological Activity | 8 |
| 14 | [Effect of medroxyprogesterone acetate (MAP) and vitamin C on DMBA induced rat mammary cancer in relation to estrogen receptor(ER)]. | 1 |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Hiroo Takikawa
Hiroo Takikawa is a scholar working on Genetics, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 395 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Erythrocyte Function and Pathophysiology (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Physiology (38 citations), Reproductive Medicine (65 citations) and Cell Biology (115 citations). Hiroo Takikawa has collaborated with scholars based in Japan, Kenya and Czechia. Frequent co-authors include Shigeyasu Tanaka, Linda E. Hammond, Michael Ronk, John E. Shively, Andrew Stolz, H. Lou, Yukio Kato, Toshikazu Hirai, Masayuki Kobayashi and Keiko Imai. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology and European Journal of Biochemistry.
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.