Mitsuo Nagao
- Oncology top 10%
- Surgery top 10%
- Hepatology top 5%
- Molecular Biology
- Cancer Research top 10%
- Co-authors
- Yoshiyuki NakajimaMichiyoshi HisanagaHiromichi KanehiroNaoya IkedaHiroshige NakanoSaiho KoYukio AomatsuMasayuki Sho
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (6 papers)Cancer, Hypoxia, and Metabolism (4 papers)Cell death mechanisms and regulation (3 papers)
- Cited by
- HepatologyOncologyCancer Research
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Mitsuo Nagao
21 papers receiving 944 citations
Peers
Comparison fields: 5 of 70
- Oncology 435
- Surgery 426
- Hepatology 262
- Molecular Biology 255
- Cancer Research 192
Countries citing papers authored by Mitsuo Nagao
This map shows the geographic impact of Mitsuo Nagao'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 Mitsuo Nagao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Nagao more than expected).
Fields of papers citing papers by Mitsuo Nagao
This network shows the impact of papers produced by Mitsuo Nagao. 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 Mitsuo Nagao. The network helps show where Mitsuo Nagao may publish in the future.
Co-authorship network of co-authors of Mitsuo Nagao
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Nagao. A scholar is included among the top collaborators of Mitsuo Nagao 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 Mitsuo Nagao. Mitsuo Nagao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | The alteration of Fas receptor and ligand system in hepatocellular carcinoma : How do hepatoma cells escape from the host immune surveillance in vivo? | 2 |
| 4 | 11 | |
| 5 | 99 | |
| 6 | Prognostic significance of death-associated protein-kinase expression in hepatocellular carcinomas. | 20 |
| 7 | 72 | |
| 8 | Clinical predictors of recurrence site after hepatectomy for metastatic colorectal cancer. | 23 |
| 9 | PROGNOSTIC SIGNIFICANCE OF p21 AND p53 EXPRESSION IN HEPATOCELLULAR CARCINOMA | 1 |
| 10 | 25 | |
| 11 | 73 | |
| 12 | 52 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 88 | |
| 17 | 32 | |
| 18 | 128 | |
| 19 | 66 | |
| 20 | 68 |
About Mitsuo Nagao
Mitsuo Nagao is a scholar working on Hepatology, Cancer Research and Transplantation, having authored 23 papers that have together received 965 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Hepatology (262 citations), Oncology (435 citations) and Cancer Research (192 citations). Mitsuo Nagao has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Yoshiyuki Nakajima, Michiyoshi Hisanaga, Hiromichi Kanehiro, Naoya Ikeda, Hiroshige Nakano, Saiho Ko, Yukio Aomatsu, Masayuki Sho, Kazushi Nishio and Tatsuya Kin. Their work appears in journals such as Hepatology, Clinical Cancer Research and Transplantation.
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.