Masako Okada
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Ovarian function and disorders
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
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- Endometriosis Research and Treatment 7
- Ovarian function and disorders 5
- Ovarian cancer diagnosis and treatment 4
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- Williams Syndrome Research 3
- Co-authors
- Hiroko KuriokaYasuhiro FuruichiMakoto GotoHitoshi AkedoTomoya OzakiK. KawanoKen MaedaTakeshi Haga
- Journals
- Experimental Cell Research (4 papers)Human Reproduction (3 papers)Biochemical and Biophysical Research Communications (2 papers)Gynecologic and Obstetric Investigation (2 papers)Fertility and Sterility (2 papers)
- Partner nations
- JapanUnited StatesCroatia
In The Last Decade
Masako Okada
60 papers receiving 701 citations
Peers
Comparison fields: 5 of 92
- Reproductive Medicine 163
- Endocrinology 77
- Obstetrics and Gynecology 97
- Infectious Diseases 101
- Microbiology 30
Countries citing papers authored by Masako Okada
This map shows the geographic impact of Masako Okada'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 Masako Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masako Okada more than expected).
Fields of papers citing papers by Masako Okada
This network shows the impact of papers produced by Masako Okada. 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 Masako Okada. The network helps show where Masako Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Masako Okada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 7 | |
| 6 | 2019 | 1 | |
| 7 | 2016 | 0 | |
| 8 | 2012 | 13 | |
| 9 | 2011 | 10 | |
| 10 | 2009 | 3 | |
| 11 | 2009 | 9 | |
| 12 | 2005 | 1 | |
| 13 | 2003 | 0 | |
| 14 | A case of a pregnant woman with luteal insufficiency and a mutation in the beta-subunit of luteinizing hormone. | 2001 | 5 |
| 15 | 2000 | 32 | |
| 16 | 2000 | 35 | |
| 17 | 1999 | 37 | |
| 18 | 1996 | 3 | |
| 19 | 1995 | 14 | |
| 20 | 1981 | 9 |
About Masako Okada
Masako Okada is a scholar working on Reproductive Medicine, Developmental Neuroscience, Obstetrics and Gynecology, Anesthesiology and Pain Medicine and Hepatology, having authored 65 papers that have together received 747 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (7 papers), Ovarian function and disorders (5 papers), Uterine Myomas and Treatments (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Reproductive Biology and Fertility (4 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Williams Syndrome Research (3 papers). The work is most often cited by research in Reproductive Medicine (163 citations), Endocrinology (77 citations), Obstetrics and Gynecology (97 citations), Infectious Diseases (101 citations) and Microbiology (30 citations). Masako Okada has collaborated with scholars based in Japan, United States and Croatia. Frequent co-authors include Hiroko Kurioka, Yasuhiro Furuichi, Makoto Goto, Hitoshi Akedo, Tomoya Ozaki, K. Kawano, Ken Maeda, Takeshi Haga, Kentaro Takahashi and Yuki Mori. Their work appears in journals such as Experimental Cell Research, Human Reproduction, Biochemical and Biophysical Research Communications, Gynecologic and Obstetric Investigation and Fertility and Sterility.
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.