Tomo Sasaki
- Molecular Biology
- Epidemiology
- Geriatrics and Gerontology top 5%
- Endocrinology, Diabetes and Metabolism
- Oncology
- Co-authors
- Katsuhiko YoshizawaAiro TsuburaHisanori MikiTakashi YuriNorihisa UeharaAyako KimuraOsamu HazekiTakeo Hayashi
- Topics
- Glioma Diagnosis and Treatment (2 papers)Retinal and Macular Surgery (2 papers)Retinal Development and Disorders (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular PharmacologyBritish Journal Of Nutrition
- Partner nations
- Japan
In The Last Decade
Tomo Sasaki
15 papers receiving 398 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 219
- Epidemiology 83
- Geriatrics and Gerontology 74
- Endocrinology, Diabetes and Metabolism 44
- Oncology 39
Countries citing papers authored by Tomo Sasaki
This map shows the geographic impact of Tomo Sasaki'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 Tomo Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomo Sasaki more than expected).
Fields of papers citing papers by Tomo Sasaki
This network shows the impact of papers produced by Tomo Sasaki. 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 Tomo Sasaki. The network helps show where Tomo Sasaki may publish in the future.
Co-authorship network of co-authors of Tomo Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tomo Sasaki. A scholar is included among the top collaborators of Tomo Sasaki 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 Tomo Sasaki. Tomo Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 185 | |
| 7 | Review: Animal models of N-Methyl-N-nitrosourea-induced mammary cancer and retinal degeneration with special emphasis on therapeutic trials. | 84 |
| 8 | Effects of short-term pregnancy hormone treatment against N-methyl-N-nitrosourea-induced mammary carcinomas in female Lewis rats. | 3 |
| 9 | Corneal damage induced in adult mice by a single intraperitoneal injection of N-ethyl-N-nitrosourea. | 6 |
| 10 | 6 | |
| 11 | 34 | |
| 12 | Novel crystalloid structures in suprasellar paraganglioma. | 9 |
| 13 | 3 | |
| 14 | 36 | |
| 15 | 0 | |
| 16 | Glioblastoma with large numbers of eosinophilic hyaline droplets in neoplastic astrocytes. | 6 |
About Tomo Sasaki
Tomo Sasaki is a scholar working on Biochemistry, Ophthalmology and Toxicology, having authored 16 papers that have together received 408 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (2 papers), Retinal and Macular Surgery (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Geriatrics and Gerontology (74 citations), Toxicology (28 citations) and Physiology (28 citations). Tomo Sasaki has collaborated with scholars based in Japan. Frequent co-authors include Katsuhiko Yoshizawa, Airo Tsubura, Hisanori Miki, Takashi Yuri, Norihisa Uehara, Ayako Kimura, Osamu Hazeki, Takeo Hayashi, Shunsuke Takasuga and Katsuji Hattori. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Pharmacology and British Journal Of Nutrition.
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.