Kazuhiro Suganuma
- Surgery top 10%
- Genetics top 5%
- Molecular Biology
- Hepatology top 5%
- Oncology
- Co-authors
- Arno W. TillesMartin L. YarmushFrançois BerthiaumeBiju ParekkadanEdward A. CarterDaan van PollKoichiro KumaiMasaki Kitajima
- Topics
- Liver physiology and pathology (5 papers)Organ Transplantation Techniques and Outcomes (4 papers)Neuroendocrine Tumor Research Advances (3 papers)
- Cited by
- GeneticsHepatologyGastroenterology
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Kazuhiro Suganuma
22 papers receiving 868 citations
Peers
Comparison fields: 5 of 82
- Surgery 415
- Genetics 333
- Molecular Biology 241
- Hepatology 233
- Oncology 149
Countries citing papers authored by Kazuhiro Suganuma
This map shows the geographic impact of Kazuhiro Suganuma'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 Kazuhiro Suganuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Suganuma more than expected).
Fields of papers citing papers by Kazuhiro Suganuma
This network shows the impact of papers produced by Kazuhiro Suganuma. 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 Kazuhiro Suganuma. The network helps show where Kazuhiro Suganuma may publish in the future.
Co-authorship network of co-authors of Kazuhiro Suganuma
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Suganuma. A scholar is included among the top collaborators of Kazuhiro Suganuma 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 Kazuhiro Suganuma. Kazuhiro Suganuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 2 | |
| 3 | 39 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 52 | |
| 7 | 432 | |
| 8 | 67 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | Combination chemotherapy with JTE-522, a novel selective cyclooxygenase-2 inhibitor, and cisplatin against gastric cancer cell lines in vitro and in vivo. | 13 |
| 13 | 30 | |
| 14 | Cyclooxygenase-2 gene induction causes CDDP resistance in colon cancer cell line, HCT-15. | 34 |
| 15 | 10 | |
| 16 | 52 | |
| 17 | 4 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | 24 |
About Kazuhiro Suganuma
Kazuhiro Suganuma is a scholar working on Gastroenterology, Hepatology and Endocrine and Autonomic Systems, having authored 22 papers that have together received 905 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Genetics (333 citations), Hepatology (233 citations) and Gastroenterology (61 citations). Kazuhiro Suganuma has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Arno W. Tilles, Martin L. Yarmush, François Berthiaume, Biju Parekkadan, Edward A. Carter, Daan van Poll, Koichiro Kumai, Masaki Kitajima, Tetsuro Kubota and Yoshiro Saikawa. Their work appears in journals such as PLoS ONE, The FASEB Journal and Antioxidants and Redox Signaling.
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.