Jun‐ichi Akahira
- Molecular Biology top 5%
- Genetics top 2%
- Oncology top 5%
- Cancer Research top 2%
- Reproductive Medicine top 1%
- Co-authors
- Hironobu SasanoTakashi SuzukiNobuo YaegashiKiyoshi ItoYasuhiro MikiTakuya MoriyaHitoshi NiikuraKunihiro Okamura
- Topics
- Estrogen and related hormone effects (44 papers)Ovarian cancer diagnosis and treatment (21 papers)Endometrial and Cervical Cancer Treatments (16 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Jun‐ichi Akahira
102 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.4k
- Genetics 962
- Oncology 841
- Cancer Research 756
- Reproductive Medicine 730
Countries citing papers authored by Jun‐ichi Akahira
This map shows the geographic impact of Jun‐ichi Akahira'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 Jun‐ichi Akahira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichi Akahira more than expected).
Fields of papers citing papers by Jun‐ichi Akahira
This network shows the impact of papers produced by Jun‐ichi Akahira. 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 Jun‐ichi Akahira. The network helps show where Jun‐ichi Akahira may publish in the future.
Co-authorship network of co-authors of Jun‐ichi Akahira
This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐ichi Akahira. A scholar is included among the top collaborators of Jun‐ichi Akahira 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 Jun‐ichi Akahira. Jun‐ichi Akahira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 51 | |
| 7 | 23 | |
| 8 | 18 | |
| 9 | 56 | |
| 10 | 37 | |
| 11 | 12 | |
| 12 | 45 | |
| 13 | 68 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 53 | |
| 17 | 105 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 2 |
About Jun‐ichi Akahira
Jun‐ichi Akahira is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Genetics, having authored 108 papers that have together received 3.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (44 papers), Ovarian cancer diagnosis and treatment (21 papers) and Endometrial and Cervical Cancer Treatments (16 papers). The work is most often cited by research in Reproductive Medicine (730 citations), Obstetrics and Gynecology (667 citations) and Cancer Research (756 citations). Jun‐ichi Akahira has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hironobu Sasano, Takashi Suzuki, Nobuo Yaegashi, Kiyoshi Ito, Yasuhiro Miki, Takuya Moriya, Hitoshi Niikura, Kunihiro Okamura, Takanori Ishida and Shuji Nagasaki. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.