Masahiro Sakata
- Molecular Biology top 10%
- Obstetrics and Gynecology top 1%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 5%
- Co-authors
- Keiichi TasakaYuji MurataTakashi TakedaHirohisa KurachiAkira MiyakeToshiya YamamotoKenjiro SawadaMasahiro Tahara
- Topics
- Reproductive System and Pregnancy (15 papers)Estrogen and related hormone effects (12 papers)Pregnancy and preeclampsia studies (12 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Masahiro Sakata
156 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.1k
- Obstetrics and Gynecology 534
- Oncology 498
- Cancer Research 476
- Immunology 470
Countries citing papers authored by Masahiro Sakata
This map shows the geographic impact of Masahiro Sakata'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 Masahiro Sakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Sakata more than expected).
Fields of papers citing papers by Masahiro Sakata
This network shows the impact of papers produced by Masahiro Sakata. 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 Masahiro Sakata. The network helps show where Masahiro Sakata may publish in the future.
Co-authorship network of co-authors of Masahiro Sakata
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Sakata. A scholar is included among the top collaborators of Masahiro Sakata 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 Masahiro Sakata. Masahiro Sakata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 46 | |
| 5 | 22 | |
| 6 | 40 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 37 | |
| 12 | 27 | |
| 13 | 23 | |
| 14 | 20 | |
| 15 | 63 | |
| 16 | 10 | |
| 17 | Development of pyrometallurgical partitioning technology of long-lived nuclides | 0 |
| 18 | 38 | |
| 19 | 28 | |
| 20 | [Morphological detection of placental anticoagulant protein-I (PAP-I) in human placenta]. | 1 |
About Masahiro Sakata
Masahiro Sakata is a scholar working on Internal Medicine, Obstetrics and Gynecology and Reproductive Medicine, having authored 162 papers that have together received 3.5k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (15 papers), Estrogen and related hormone effects (12 papers) and Pregnancy and preeclampsia studies (12 papers). The work is most often cited by research in Obstetrics and Gynecology (534 citations), Reproductive Medicine (448 citations) and Cancer Research (476 citations). Masahiro Sakata has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Keiichi Tasaka, Yuji Murata, Takashi Takeda, Hirohisa Kurachi, Akira Miyake, Toshiya Yamamoto, Kenjiro Sawada, Masahiro Tahara, Ryoko Minekawa and Kayo Masuko. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.