Keiichi Kubota
- Surgery top 0.5%
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Hepatology top 0.2%
- Epidemiology top 1%
- Co-authors
- Mitsuru IshizukaN. TamahashiTokihiko SawadaKazutoshi TakagiHitoshi NagataMasatoshi MakuuchiMitsugi ShimodaSatoshi Yamada
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (68 papers)Pancreatic and Hepatic Oncology Research (61 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (54 papers)
- Cited by
- HepatologyOncologyTransplantation
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanSwedenUnited States
In The Last Decade
Keiichi Kubota
371 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Surgery 4.1k
- Oncology 3.3k
- Pulmonary and Respiratory Medicine 2.5k
- Hepatology 2.1k
- Epidemiology 1.6k
Countries citing papers authored by Keiichi Kubota
This map shows the geographic impact of Keiichi Kubota'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 Keiichi Kubota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Kubota more than expected).
Fields of papers citing papers by Keiichi Kubota
This network shows the impact of papers produced by Keiichi Kubota. 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 Keiichi Kubota. The network helps show where Keiichi Kubota may publish in the future.
Co-authorship network of co-authors of Keiichi Kubota
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Kubota. A scholar is included among the top collaborators of Keiichi Kubota 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 Keiichi Kubota. Keiichi Kubota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 59 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | Automatic estimation of optimal resected liver regions considering practical surgical conditions | 0 |
| 13 | Inflammation-based prognostic score predicts biliary stent patency in patients with unresectable malignant biliary obstruction. | 2 |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 25 | |
| 17 | 34 | |
| 18 | 13 | |
| 19 | Rate of bilirubin decrease as a risk predictor in hepato-biliary-pancreatic surgery. | 7 |
| 20 | 29 |
About Keiichi Kubota
Keiichi Kubota is a scholar working on Hepatology, Transplantation and Oncology, having authored 397 papers that have together received 9.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (68 papers), Pancreatic and Hepatic Oncology Research (61 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (54 papers). The work is most often cited by research in Hepatology (2.1k citations), Oncology (3.3k citations) and Transplantation (262 citations). Keiichi Kubota has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Mitsuru Ishizuka, N. Tamahashi, Tokihiko Sawada, Kazutoshi Takagi, Hitoshi Nagata, Masatoshi Makuuchi, Mitsugi Shimoda, Satoshi Yamada, Kiichi Ishiwata and Tatsuo Ido. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.