Kazuko Abe
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Genetics
- Reproductive Medicine top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Takashi MinegishiTakashi HirakawaKaoru MiyamotoHiroshi KishiYoshito IbukiYumiko AbeKenji KangawaMasayasu Kojima
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Reproductive Biology and Fertility (4 papers)Estrogen and related hormone effects (4 papers)
- Cited by
- Reproductive MedicineAgronomy and Crop SciencePublic Health, Environmental and Occupational Health
- Partner nations
- JapanChinaUnited States
In The Last Decade
Kazuko Abe
24 papers receiving 358 citations
Peers
Comparison fields: 5 of 72
- Public Health, Environmental and Occupational Health 118
- Molecular Biology 111
- Genetics 84
- Reproductive Medicine 74
- Cellular and Molecular Neuroscience 63
Countries citing papers authored by Kazuko Abe
This map shows the geographic impact of Kazuko Abe'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 Kazuko Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuko Abe more than expected).
Fields of papers citing papers by Kazuko Abe
This network shows the impact of papers produced by Kazuko Abe. 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 Kazuko Abe. The network helps show where Kazuko Abe may publish in the future.
Co-authorship network of co-authors of Kazuko Abe
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuko Abe. A scholar is included among the top collaborators of Kazuko Abe 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 Kazuko Abe. Kazuko Abe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 31 | |
| 9 | Effect of insulin-like growth factor-1 and 2,3,7,8-tetrachlorodibenzo-p-dioxin on the expression of luteinizing hormone receptors in cultured granulosa cells. | 1 |
| 10 | 16 | |
| 11 | 23 | |
| 12 | 30 | |
| 13 | 15 | |
| 14 | 17 | |
| 15 | 25 | |
| 16 | 48 | |
| 17 | 24 | |
| 18 | 50 | |
| 19 | 6 | |
| 20 | 2 |
About Kazuko Abe
Kazuko Abe is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 25 papers that have together received 368 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Reproductive Biology and Fertility (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Reproductive Medicine (74 citations), Agronomy and Crop Science (48 citations) and Public Health, Environmental and Occupational Health (118 citations). Kazuko Abe has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Takashi Minegishi, Takashi Hirakawa, Kaoru Miyamoto, Hiroshi Kishi, Yoshito Ibuki, Yumiko Abe, Kenji Kangawa, Masayasu Kojima, Jong‐Hwan Yoon and Mari Tano. Their work appears in journals such as PLoS ONE, Scientific Reports 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.