Shuji Nomoto
- Oncology top 0.5%
- Molecular Biology top 2%
- Surgery top 1%
- Pulmonary and Respiratory Medicine top 1%
- Cancer Research top 1%
- Co-authors
- Akimasa NakaoHiroyuki SugimotoTsutomu FujiiShin TakedaYasuhiro KoderaSuguru YamadaDavid SidranskyNaohito Kanazumi
- Topics
- Pancreatic and Hepatic Oncology Research (70 papers)Pancreatitis Pathology and Treatment (27 papers)RNA modifications and cancer (24 papers)
- Cited by
- OncologyCancer ResearchHepatology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaMolecular and Cellular Biology
- Partner nations
- JapanUnited StatesPortugal
In The Last Decade
Shuji Nomoto
211 papers receiving 7.8k citations
Peers
Comparison fields: 5 of 124
- Oncology 4.0k
- Molecular Biology 3.6k
- Surgery 2.2k
- Pulmonary and Respiratory Medicine 1.8k
- Cancer Research 1.6k
Countries citing papers authored by Shuji Nomoto
This map shows the geographic impact of Shuji Nomoto'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 Shuji Nomoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuji Nomoto more than expected).
Fields of papers citing papers by Shuji Nomoto
This network shows the impact of papers produced by Shuji Nomoto. 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 Shuji Nomoto. The network helps show where Shuji Nomoto may publish in the future.
Co-authorship network of co-authors of Shuji Nomoto
This figure shows the co-authorship network connecting the top 25 collaborators of Shuji Nomoto. A scholar is included among the top collaborators of Shuji Nomoto 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 Shuji Nomoto. Shuji Nomoto 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 | 6 | |
| 3 | 11 | |
| 4 | 25 | |
| 5 | 12 | |
| 6 | 32 | |
| 7 | Decreased expression and aberrant hypermethylation of the SFRP genes in human gastric cancer. | 27 |
| 8 | 109 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 48 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 54 | |
| 20 | Inactivation of LKB1/STK11 is a common event in adenocarcinomas of the lung. | 495 |
About Shuji Nomoto
Shuji Nomoto is a scholar working on Oncology, Hepatology and Cancer Research, having authored 216 papers that have together received 7.9k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (70 papers), Pancreatitis Pathology and Treatment (27 papers) and RNA modifications and cancer (24 papers). The work is most often cited by research in Oncology (4.0k citations), Cancer Research (1.6k citations) and Hepatology (529 citations). Shuji Nomoto has collaborated with scholars based in Japan, United States and Portugal. Frequent co-authors include Akimasa Nakao, Hiroyuki Sugimoto, Tsutomu Fujii, Shin Takeda, Yasuhiro Kodera, Suguru Yamada, David Sidransky, Naohito Kanazumi, Mitsuro Kanda and Michitaka Fujiwara. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.