Motoji Sawabe
- Physiology top 1%
- Molecular Biology top 5%
- Surgery top 2%
- Neurology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Tomio AraiKaiyo TakuboShigeo MurayamaYuko SaitoNaoko HonmaTakayuki HosoiNoriko TanakaHiroshi Yamanouchi
- Topics
- Genetic Associations and Epidemiology (19 papers)Telomeres, Telomerase, and Senescence (18 papers)Genetic factors in colorectal cancer (14 papers)
- Cited by
- AgingNeurologyPhysiology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Motoji Sawabe
226 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Physiology 1.6k
- Molecular Biology 1.5k
- Surgery 1.4k
- Neurology 1.2k
- Pulmonary and Respiratory Medicine 1.1k
Countries citing papers authored by Motoji Sawabe
This map shows the geographic impact of Motoji Sawabe'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 Motoji Sawabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoji Sawabe more than expected).
Fields of papers citing papers by Motoji Sawabe
This network shows the impact of papers produced by Motoji Sawabe. 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 Motoji Sawabe. The network helps show where Motoji Sawabe may publish in the future.
Co-authorship network of co-authors of Motoji Sawabe
This figure shows the co-authorship network connecting the top 25 collaborators of Motoji Sawabe. A scholar is included among the top collaborators of Motoji Sawabe 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 Motoji Sawabe. Motoji Sawabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 34 | |
| 6 | 18 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 26 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | FRS-111 The Correlation between Serum Lipid Levels and Atherosclerotic Degrees is Different in Each Arterial System(Clinical Aspects of Atherosclerosis (H) FRS23,Featured Research Session (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society) | 3 |
| 15 | 25 | |
| 16 | 11 | |
| 17 | 63 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | 1 |
About Motoji Sawabe
Motoji Sawabe is a scholar working on Cancer Research, Gastroenterology and Pathology and Forensic Medicine, having authored 232 papers that have together received 6.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (19 papers), Telomeres, Telomerase, and Senescence (18 papers) and Genetic factors in colorectal cancer (14 papers). The work is most often cited by research in Aging (233 citations), Neurology (1.2k citations) and Physiology (1.6k citations). Motoji Sawabe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tomio Arai, Kaiyo Takubo, Shigeo Murayama, Yuko Saito, Naoko Honma, Takayuki Hosoi, Noriko Tanaka, Hiroshi Yamanouchi, Junko Aida and Kenichi Nakamura. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.