Dejun Zhou
Impact in
- Health Informatics top 10%
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
Papers in
-
- Advanced Radiotherapy Techniques 9
- Oncology 5
- Co-authors
- Takashi Mizowaki (6 shared papers)Fuliang Cao (4 shared papers)Mitsuhiro Nakamura (6 shared papers)Nobutaka Mukumoto (4 shared papers)Jun Wang (2 shared papers)Qingsong Pang (2 shared papers)Wencheng Zhang (2 shared papers)Ping Wang (2 shared papers)
- Journals
- Annals of Oncology (3 papers)Medical Physics (2 papers)Journal of Applied Clinical Medical Physics (2 papers)Analytical Letters (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Dejun Zhou
35 papers receiving 617 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 21
- Gastroenterology 53
- Drug Discovery 2
- Radiation 49
- Surgery 246
Countries citing papers authored by Dejun Zhou
This map shows the geographic impact of Dejun Zhou'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 Dejun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Zhou more than expected).
Fields of papers citing papers by Dejun Zhou
This network shows the impact of papers produced by Dejun Zhou. 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 Dejun Zhou. The network helps show where Dejun Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 2021 | 86 | |
| 3 | 2021 | 81 | |
| 4 | 2018 | 75 | |
| 5 | 2015 | 55 | |
| 6 | 2024 | 32 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2013 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 2024 | 6 | |
| 18 | [Effect of 5-fluorouracil in combination with Astragalus membranaceus on amino acid metabolism in mice model of gastric carcinoma]. | 2006 | 5 |
| 19 | 2023 | 5 | |
| 20 | 2018 | 4 |
About Dejun Zhou
Dejun Zhou is a scholar working on Radiation, Oncology, Surgery, Gastroenterology and Hepatology, having authored 37 papers that have together received 625 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (9 papers), Esophageal Cancer Research and Treatment (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Particle accelerators and beam dynamics (2 papers), Neuroblastoma Research and Treatments (2 papers), Gastric Cancer Management and Outcomes (2 papers), AI in cancer detection (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Health Informatics (21 citations), Gastroenterology (53 citations), Drug Discovery (2 citations), Radiation (49 citations) and Surgery (246 citations). Dejun Zhou has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Takashi Mizowaki, Fuliang Cao, Mitsuhiro Nakamura, Nobutaka Mukumoto, Jun Wang, Qingsong Pang, Wencheng Zhang, Ping Wang, Zhiyong Yuan and Hongjing Jiang. Their work appears in journals such as Annals of Oncology, Medical Physics, Journal of Applied Clinical Medical Physics, Analytical Letters and International Journal of Radiation Oncology*Biology*Physics.
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.