Jun Dong
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
-
- Venous Thromboembolism Diagnosis and Management
Papers in
- Oncology 12
- Colorectal Cancer Treatments and Studies 10
-
- Lung Cancer Treatments and Mutations 5
- Renal cell carcinoma treatment 2
- Co-authors
- Catherine Lofton–Day (4 shared papers)Shaker R. Dakhil (2 shared papers)Douglas R. Adkins (2 shared papers)Philip R. Debruyne (2 shared papers)Kelly S. Oliner (2 shared papers)Lori J. Wirth (2 shared papers)A. Scott Jung (2 shared papers)Shubham Pant (2 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Medicine (3 papers)Journal of Cancer (3 papers)Statistics in Medicine (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesEstonia
In The Last Decade
Jun Dong
38 papers receiving 299 citations
Peers
Comparison fields: 5 of 67
- Otorhinolaryngology 41
- Internal Medicine 16
- Oncology 102
- Cancer Research 37
- Hepatology 17
Countries citing papers authored by Jun Dong
This map shows the geographic impact of Jun Dong'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 Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dong more than expected).
Fields of papers citing papers by Jun Dong
This network shows the impact of papers produced by Jun Dong. 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 Dong. The network helps show where Jun Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dong, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 46 | |
| 2 | 2016 | 22 | |
| 3 | 2013 | 19 | |
| 4 | 2005 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2018 | 18 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2023 | 11 | |
| 10 | Incidence and risk assessment of venous thromboembolism in cancer patients admitted to intensive care unit for postoperative care. | 2019 | 11 |
| 11 | 2018 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2017 | 5 | |
| 20 | 2020 | 4 |
About Jun Dong
Jun Dong is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 300 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (10 papers), Lung Cancer Treatments and Mutations (5 papers), Head and Neck Cancer Studies (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Advanced Causal Inference Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers), Effects of Radiation Exposure (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (41 citations), Internal Medicine (16 citations), Oncology (102 citations), Cancer Research (37 citations) and Hepatology (17 citations). Jun Dong has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Catherine Lofton–Day, Shaker R. Dakhil, Douglas R. Adkins, Philip R. Debruyne, Kelly S. Oliner, Lori J. Wirth, A. Scott Jung, Shubham Pant, Gabriela Kornek and Paul E. O’Brien. Their work appears in journals such as Journal of Clinical Oncology, Medicine, Journal of Cancer, Statistics in Medicine 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.