S Suga
- Co-authors
- Hiroaki IwaseTakeo YamaguchiKimitomo MoriseKiyoji KimuraH MajimaTakao HattoriI UrushizakiH Ichihashi
- Topics
- Gastric Cancer Management and Outcomes (13 papers)Colorectal Cancer Treatments and Studies (6 papers)Cancer Treatment and Pharmacology (4 papers)
In The Last Decade
S Suga
27 papers receiving 359 citations
Peers
Comparison fields: 5 of 60
- Surgery 142
- Pulmonary and Respiratory Medicine 118
- Hepatology 110
- Oncology 96
- Epidemiology 86
Countries citing papers authored by S Suga
This map shows the geographic impact of S Suga'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 S Suga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Suga more than expected).
Fields of papers citing papers by S Suga
This network shows the impact of papers produced by S Suga. 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 S Suga. The network helps show where S Suga may publish in the future.
Co-authorship network of co-authors of S Suga
This figure shows the co-authorship network connecting the top 25 collaborators of S Suga. A scholar is included among the top collaborators of S Suga 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 S Suga. S Suga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [A case with cerebral subcortical hemorrhage following the administration of phenylpropanolamine]. | 1 |
| 2 | 6 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 77 | |
| 6 | [Combination chemotherapy with FP versus FEP in patients with advanced gastric cancer. Research group of gastric cancer chemotherapy]. | 1 |
| 7 | 14 | |
| 8 | 33 | |
| 9 | [FEP and FAP combination chemotherapy in advanced gastric cancer. Research Group for Gastric Cancer]. | 1 |
| 10 | 3 | |
| 11 | 110 | |
| 12 | 5 | |
| 13 | [Clinical experience of a subcutaneously implantable drug delivery catheter (PORT-A-CATH)]. | 2 |
| 14 | [Phase II study of epirubicin on gastric cancer--a cooperative study of the Tokai Cancer Chemotherapy Group]. | 1 |
| 15 | [Phase I study of bestrabucil (KM 2210)]. | 2 |
| 16 | 3 | |
| 17 | [Pharmacological and pharmacodynamic aspects of cancer chemotherapy, with special reference to 5-fluorouracil and its derivatives]. | 2 |
| 18 | 26 | |
| 19 | 3 | |
| 20 | Relationship between liver aminotransferase activity and adrenal cortical hormone metabolism in tumor-bearing rats. | 3 |
About S Suga
S Suga is a scholar working on Gastroenterology, Hepatology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 375 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (13 papers), Colorectal Cancer Treatments and Studies (6 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Hepatology (110 citations), Gastroenterology (61 citations) and Pulmonary and Respiratory Medicine (118 citations). S Suga has collaborated with scholars based in Japan, Croatia and Austria. Frequent co-authors include Hiroaki Iwase, Takeo Yamaguchi, Kimitomo Morise, Kiyoji Kimura, H Majima, Takao Hattori, I Urushizaki, H Ichihashi, Hisanobu Niitani and Osahiko Abe. Their work appears in journals such as Gastrointestinal Endoscopy, Nutrition and Cancer and Journal of Clinical Gastroenterology.
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.