Masumi Sawada
- Molecular Biology
- Reproductive Medicine top 5%
- Surgery
- Health, Toxicology and Mutagenesis top 5%
- Immunology
- Co-authors
- Takehito MORITAAkinori ShimadaY OkudairaMasatake FujimuraOsamu TanizawaAkihiko TakashimaFusako UsukiTakashi Umemura
- Topics
- Ovarian cancer diagnosis and treatment (12 papers)Testicular diseases and treatments (9 papers)Virus-based gene therapy research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyJNCI Journal of the National Cancer Institute
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Masumi Sawada
81 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 316
- Reproductive Medicine 239
- Surgery 214
- Health, Toxicology and Mutagenesis 214
- Immunology 165
Countries citing papers authored by Masumi Sawada
This map shows the geographic impact of Masumi Sawada'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 Masumi Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masumi Sawada more than expected).
Fields of papers citing papers by Masumi Sawada
This network shows the impact of papers produced by Masumi Sawada. 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 Masumi Sawada. The network helps show where Masumi Sawada may publish in the future.
Co-authorship network of co-authors of Masumi Sawada
This figure shows the co-authorship network connecting the top 25 collaborators of Masumi Sawada. A scholar is included among the top collaborators of Masumi Sawada 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 Masumi Sawada. Masumi Sawada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | Development of diagnostic method for Neospora caninum and serological survey in cattle and humans | 1 |
| 9 | 25 | |
| 10 | 88 | |
| 11 | 77 | |
| 12 | 11 | |
| 13 | 41 | |
| 14 | 58 | |
| 15 | 6 | |
| 16 | 50 | |
| 17 | 11 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | Serially Transplantable Human Embryonal Carcinoma in Nude Mice | 1 |
About Masumi Sawada
Masumi Sawada is a scholar working on Reproductive Medicine, Parasitology and Obstetrics and Gynecology, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (12 papers), Testicular diseases and treatments (9 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Reproductive Medicine (239 citations), Parasitology (147 citations) and Immunology and Allergy (102 citations). Masumi Sawada has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Takehito MORITA, Akinori Shimada, Y Okudaira, Masatake Fujimura, Osamu Tanizawa, Akihiko Takashima, Fusako Usuki, Takashi Umemura, Yoshio Shimizu and Gaiko Ueda. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and JNCI Journal of the National Cancer Institute.
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.