Tamotsu Sugai
- Oncology top 1%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 1%
- Surgery top 2%
- Pathology and Forensic Medicine top 0.5%
- Co-authors
- Wataru HabanoShinichi NakamuraNoriyuki UesugiHiromu SuzukiEiichiro YamamotoKazuyuki IshidaTakayuki MatsumotoReo Maruyama
- Topics
- Genetic factors in colorectal cancer (100 papers)Gastric Cancer Management and Outcomes (61 papers)Colorectal Cancer Treatments and Studies (43 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Tamotsu Sugai
346 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Oncology 2.2k
- Molecular Biology 2.0k
- Pulmonary and Respiratory Medicine 1.7k
- Surgery 1.6k
- Pathology and Forensic Medicine 1.4k
Countries citing papers authored by Tamotsu Sugai
This map shows the geographic impact of Tamotsu Sugai'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 Tamotsu Sugai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamotsu Sugai more than expected).
Fields of papers citing papers by Tamotsu Sugai
This network shows the impact of papers produced by Tamotsu Sugai. 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 Tamotsu Sugai. The network helps show where Tamotsu Sugai may publish in the future.
Co-authorship network of co-authors of Tamotsu Sugai
This figure shows the co-authorship network connecting the top 25 collaborators of Tamotsu Sugai. A scholar is included among the top collaborators of Tamotsu Sugai 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 Tamotsu Sugai. Tamotsu Sugai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | Fusobacterium in Colonic Flora and Molecular Features of Colorectal Carcinomabreakdown → | 354 |
| 12 | 32 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 30 | |
| 17 | 4 | |
| 18 | 43 | |
| 19 | 18 | |
| 20 | 4 |
About Tamotsu Sugai
Tamotsu Sugai is a scholar working on Gastroenterology, Pathology and Forensic Medicine and Oncology, having authored 367 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (100 papers), Gastric Cancer Management and Outcomes (61 papers) and Colorectal Cancer Treatments and Studies (43 papers). The work is most often cited by research in Gastroenterology (509 citations), Oncology (2.2k citations) and Cancer Research (1.2k citations). Tamotsu Sugai has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Wataru Habano, Shinichi Nakamura, Noriyuki Uesugi, Hiromu Suzuki, Eiichiro Yamamoto, Kazuyuki Ishida, Takayuki Matsumoto, Reo Maruyama, Makoto Eizuka and Minoru Toyota. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.