Kan Toriguchi
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Liver Disease and Transplantation
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
- Co-authors
- Etsuro Hatano (15 shared papers)Shinji Üemoto (8 shared papers)Kojiro Taura (8 shared papers)Satoru Seo (7 shared papers)Kazutaka Tanabe (5 shared papers)Kenji Takemoto (5 shared papers)Keiko Iwaisako (4 shared papers)Masataka Asagiri (2 shared papers)
- Journals
- Surgery Today (2 papers)PLoS ONE (2 papers)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Kan Toriguchi
26 papers receiving 387 citations
Peers
Comparison fields: 5 of 61
- Hepatology 84
- Pharmacology 49
- Drug Discovery 1
- Epidemiology 104
- Cell Biology 47
Countries citing papers authored by Kan Toriguchi
This map shows the geographic impact of Kan Toriguchi'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 Kan Toriguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Toriguchi more than expected).
Fields of papers citing papers by Kan Toriguchi
This network shows the impact of papers produced by Kan Toriguchi. 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 Kan Toriguchi. The network helps show where Kan Toriguchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Toriguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 127 | |
| 2 | 2013 | 54 | |
| 3 | 2015 | 29 | |
| 4 | 2013 | 24 | |
| 5 | 2016 | 23 | |
| 6 | 2022 | 22 | |
| 7 | 2015 | 20 | |
| 8 | 2017 | 16 | |
| 9 | 2016 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 7 | |
| 13 | 2012 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2020 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 2 |
About Kan Toriguchi
Kan Toriguchi is a scholar working on Surgery, Oncology, Hepatology, Cancer Research and Molecular Biology, having authored 27 papers that have together received 389 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Peptidase Inhibition and Analysis (2 papers), Vitamin C and Antioxidants Research (1 paper) and Pneumothorax, Barotrauma, Emphysema (1 paper). The work is most often cited by research in Hepatology (84 citations), Pharmacology (49 citations), Drug Discovery (1 citation), Epidemiology (104 citations) and Cell Biology (47 citations). Kan Toriguchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Etsuro Hatano, Shinji Üemoto, Kojiro Taura, Satoru Seo, Kazutaka Tanabe, Kenji Takemoto, Keiko Iwaisako, Masataka Asagiri, Goshi Shiota and Keigo Machida. Their work appears in journals such as Surgery Today, PLoS ONE, Journal of Clinical Oncology, Clinical Cancer Research and Journal of Hepatology.
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.