Fumio Sakauchi
- Oncology top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Pathology and Forensic Medicine top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Mitsuru MoriMasakazu WashioAkiko TamakoshiM. Monirul H. KhanYoshihisa FujinoKenji WakaiKotaro OzasaYoshiyuki Watanabe
- Topics
- Cancer Risks and Factors (8 papers)Nutritional Studies and Diet (8 papers)Metabolism, Diabetes, and Cancer (6 papers)
- Partner nations
- JapanBangladeshIndia
In The Last Decade
Fumio Sakauchi
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Oncology 437
- Molecular Biology 315
- Public Health, Environmental and Occupational Health 236
- Pathology and Forensic Medicine 222
- Endocrine and Autonomic Systems 212
Countries citing papers authored by Fumio Sakauchi
This map shows the geographic impact of Fumio Sakauchi'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 Fumio Sakauchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Sakauchi more than expected).
Fields of papers citing papers by Fumio Sakauchi
This network shows the impact of papers produced by Fumio Sakauchi. 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 Fumio Sakauchi. The network helps show where Fumio Sakauchi may publish in the future.
Co-authorship network of co-authors of Fumio Sakauchi
This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Sakauchi. A scholar is included among the top collaborators of Fumio Sakauchi 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 Fumio Sakauchi. Fumio Sakauchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 31 | |
| 3 | Relationship of serum superoxide dismutase activity and lifestyle in healthy Japanese adults. | 10 |
| 4 | Serum insulin-like growth factors I and II, insulin-like growth factor binding protein-3 and risk of breast cancer in the Japan Collaborative Cohort study. | 10 |
| 5 | 18 | |
| 6 | Risk factors for osteoporosis in elderly people with a cohort study – Using calcaneus stiffness as an index – | 1 |
| 7 | 43 | |
| 8 | 9 | |
| 9 | 53 | |
| 10 | 28 | |
| 11 | 314 | |
| 12 | 16 | |
| 13 | 45 | |
| 14 | 34 | |
| 15 | 38 | |
| 16 | 34 | |
| 17 | 12 | |
| 18 | 125 | |
| 19 | 13 | |
| 20 | 6 |
About Fumio Sakauchi
Fumio Sakauchi is a scholar working on Pathology and Forensic Medicine, Oncology and Health, Toxicology and Mutagenesis, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Risks and Factors (8 papers), Nutritional Studies and Diet (8 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (212 citations), Oncology (437 citations) and Pathology and Forensic Medicine (222 citations). Fumio Sakauchi has collaborated with scholars based in Japan, Bangladesh and India. Frequent co-authors include Mitsuru Mori, Masakazu Washio, Akiko Tamakoshi, M. Monirul H. Khan, Yoshihisa Fujino, Kenji Wakai, Kotaro Ozasa, Yoshiyuki Watanabe, Kazuya Mikami and Masahiro Nakao. Their work appears in journals such as American Journal of Epidemiology, The Journal of Urology and Preventive Medicine.
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.