Hiroshi Onoda
- Oncology top 5%
- Cancer Research top 10%
- Surgery
- Hepatology top 5%
- Epidemiology
- Co-authors
- Akiyoshi KinoshitaNami ImaiNao FushiyaAkira IwakuKazuhiko KoikeMutumi OishiHirokazu NishinoHisao Tajiri
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (9 papers)Cancer, Lipids, and Metabolism (8 papers)Inflammatory Biomarkers in Disease Prognosis (7 papers)
- Cited by
- HepatologyOncologyCancer Research
- Partner nations
- JapanUnited States
In The Last Decade
Hiroshi Onoda
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Oncology 671
- Cancer Research 286
- Surgery 269
- Hepatology 243
- Epidemiology 226
Countries citing papers authored by Hiroshi Onoda
This map shows the geographic impact of Hiroshi Onoda'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 Hiroshi Onoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Onoda more than expected).
Fields of papers citing papers by Hiroshi Onoda
This network shows the impact of papers produced by Hiroshi Onoda. 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 Hiroshi Onoda. The network helps show where Hiroshi Onoda may publish in the future.
Co-authorship network of co-authors of Hiroshi Onoda
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Onoda. A scholar is included among the top collaborators of Hiroshi Onoda 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 Hiroshi Onoda. Hiroshi Onoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | C-Reactive Protein as a Prognostic Marker in Patients with Hepatocellular Carcinoma. | 35 |
| 3 | 13 | |
| 4 | 364 | |
| 5 | 19 | |
| 6 | 50 | |
| 7 | 92 | |
| 8 | 246 | |
| 9 | 55 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 74 | |
| 13 | 26 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | [Two cases of transcatheter therapy to hepatocellular carcinoma supplied by the right internal mammary artery]. | 2 |
| 17 | 6 | |
| 18 | 7 | |
| 19 | [Clinical significance of PFD test and fecal chymotrypsin test in postoperative pancreatic exocrine insufficiency]. | 2 |
About Hiroshi Onoda
Hiroshi Onoda is a scholar working on Hepatology, Cancer Research and Transplantation, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer, Lipids, and Metabolism (8 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). The work is most often cited by research in Hepatology (243 citations), Oncology (671 citations) and Cancer Research (286 citations). Hiroshi Onoda has collaborated with scholars based in Japan and United States. Frequent co-authors include Akiyoshi Kinoshita, Nami Imai, Nao Fushiya, Akira Iwaku, Kazuhiko Koike, Mutumi Oishi, Hirokazu Nishino, Hisao Tajiri, Masato Matsushima and Ken Tanaka. Their work appears in journals such as British Journal of Cancer, Annals of Surgical Oncology and BMC Cancer.
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.