Jun Sakata
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Treatments and Studies
Papers in
- Hepatology 14
- Hepatocellular Carcinoma Treatment and Prognosis 12
- Oncology 33
- Pancreatic and Hepatic Oncology Research 13
- Colorectal Cancer Treatments and Studies 5
- Viral-associated cancers and disorders 4
- Co-authors
- Toshifumi WakaiKatsuyoshi HatakeyamaYoshio ShiraiYoichi AjiokaKouhei AkazawaKazuhiro KanekoYoshihiro ShiraiK Hatakeyama
- Journals
- European Journal of Surgical Oncology (5 papers)Annals of Surgical Oncology (5 papers)Scientific Reports (3 papers)Surgery (2 papers)World Journal of Surgery (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Sakata
57 papers receiving 967 citations
Peers
Comparison fields: 5 of 74
- Hepatology 415
- Oncology 473
- Surgery 463
- Cancer Research 126
- Pulmonary and Respiratory Medicine 269
Countries citing papers authored by Jun Sakata
This map shows the geographic impact of Jun Sakata'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 Jun Sakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sakata more than expected).
Fields of papers citing papers by Jun Sakata
This network shows the impact of papers produced by Jun Sakata. 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 Jun Sakata. The network helps show where Jun Sakata may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Sakata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2018 | 44 | |
| 13 | 2016 | 13 | |
| 14 | Non-Sentinel Lymph Node Metastasis is Hard to Predict by Clinicopathological Factors if SLN Metastasis in Two or Fewer Nodes in Breast Cancer | 2014 | 2 |
| 15 | 2011 | 10 | |
| 16 | 2011 | 66 | |
| 17 | 2008 | 0 | |
| 18 | 2008 | 73 | |
| 19 | 2008 | 32 | |
| 20 | 2006 | 45 |
About Jun Sakata
Jun Sakata is a scholar working on Hepatology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 65 papers that have together received 991 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), Pancreatic and Hepatic Oncology Research (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Gallbladder and Bile Duct Disorders (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Viral-associated cancers and disorders (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Metastasis and carcinoma case studies (4 papers). The work is most often cited by research in Hepatology (415 citations), Oncology (473 citations), Surgery (463 citations), Cancer Research (126 citations) and Pulmonary and Respiratory Medicine (269 citations). Jun Sakata has collaborated with scholars based in Japan and United States. Frequent co-authors include Toshifumi Wakai, Katsuyoshi Hatakeyama, Yoshio Shirai, Yoichi Ajioka, Kouhei Akazawa, Kazuhiro Kaneko, Yoshihiro Shirai, K Hatakeyama, Hiroshi Ichikawa and Hitoshi Kameyama. Their work appears in journals such as European Journal of Surgical Oncology, Annals of Surgical Oncology, Scientific Reports, Surgery and World Journal of Surgery.
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.