Ken Sasaki
- Surgery top 2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Physiology top 5%
- Co-authors
- Yasuto UchikadoYoshiaki KitaRyosuke KurodaMasahiro KurosakaSumiya IshigamiKazunari IshidaYoshikatsu FujisawaTakaaki Arigami
- Topics
- Gastric Cancer Management and Outcomes (39 papers)Esophageal Cancer Research and Treatment (27 papers)Metastasis and carcinoma case studies (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurologyAnalytical Biochemistry
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Ken Sasaki
186 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 145
- Surgery 1.2k
- Molecular Biology 798
- Pulmonary and Respiratory Medicine 700
- Oncology 671
- Physiology 417
Countries citing papers authored by Ken Sasaki
This map shows the geographic impact of Ken 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 Ken Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Sasaki more than expected).
Fields of papers citing papers by Ken Sasaki
This network shows the impact of papers produced by Ken 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 Ken Sasaki. The network helps show where Ken Sasaki may publish in the future.
Co-authorship network of co-authors of Ken Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Sasaki. A scholar is included among the top collaborators of Ken 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 Ken Sasaki. Ken 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 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | Development of the model to predict the growth of Salmonella spp. in stirred fried rice with crab meat | 1 |
| 17 | 3 | |
| 18 | 21 | |
| 19 | 1 | |
| 20 | Single-Cell Protein Production by Treatment of Soybean Wastes with Rhodopseudomonas gelatinosa : | 19 |
About Ken Sasaki
Ken Sasaki is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Surgery, having authored 199 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (39 papers), Esophageal Cancer Research and Treatment (27 papers) and Metastasis and carcinoma case studies (20 papers). The work is most often cited by research in Orthopedics and Sports Medicine (314 citations), Surgery (1.2k citations) and Oncology (671 citations). Ken Sasaki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yasuto Uchikado, Yoshiaki Kita, Ryosuke Kuroda, Masahiro Kurosaka, Sumiya Ishigami, Kazunari Ishida, Yoshikatsu Fujisawa, Takaaki Arigami, Hiroshi Kurahara and Hiroshi Okumura. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Analytical Biochemistry.
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.